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CFP: 7th Int. Conf. on Future Internet of Things and Cloud (FiCloud 2019)
by FiCloud Conference 11 Apr '19

11 Apr '19

----------------------Call for Papers (Final Call)------------------------------------------------ The 7th International Conference on Future Internet of Things and Cloud (FiCloud 2019), IEEE CS- TCI 26-28 August 2019, Istanbul, Turkey http://www.ficloud.org/2019/ --------------------------------------------------------------------------------------- The Internet of Things (IoT) vision is to provide a dynamic and global network infrastructure which is characterized by intelligent and self configuring capabilities. IoT is considered as an integral part of the future Internet. It is based on interoperable communication protocols in order to enable the interaction and integration of virtual as well as physical Things such as computers, smart devices, sensors, cars, refrigerators, food packages, medicines, etc. Things can be seamlessly integrated into the information network and interaction can be made through the provision of intelligent interfaces. In not so distant future, IoT will be forcing its way into every aspect of our lives and technologies including smart homes, smart cities, environment and nature, green energy, food, medicine, automotive, aerospace and aviation, telecommunication, and so on. IoT is generally characterized by real world and small Things, limited capacity, constrained devices and the consequential issues such as less reliability, security and privacy. Cloud computing on the other hand deals mainly with virtual world and has unlimited capabilities in terms of storage and processing power. Thus cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner. The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing. CONFERENCE TRACKS: - Cloud Models - SaaS, IaaS, PaaS - Security, Privacy and Trust - Software Systems, Models and Architectures - Mobile Cloud Services - Data and Knowledge Management - Context-awareness and Location-awareness - Software-defined Networking - Performance Evaluation and Modelling - Networking and Communication Protocols - IoT Services and Applications - Smart Environment - Enterprise and Business Models - Energy Efficiency - Federation and Virtualization - Fog and Edge Computing - Industry Track - General Track Paper submission and Publication: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 6 pages. Papers should be prepared using IEEE two-column template. See instructions on the conference website ( http://www.ficloud.org/2019/). All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services. Authors of selected papers will be invited to submit extended versions of their papers for special issues in international journals (see conference website). Important Dates: Submission Deadline Extended (Firm): 16 April 2019 Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 General Chairs: Vincenzo Piuri, University of Milan, Italy Irfan Awan, University of Bradford, UK Program Chairs: Takahiro Hara, Osaka University, Japan Muhammad Younas, Oxford Brookes University, UK Local Organising Chairs: Perin Unal, Teknopar, Turkey Sezer Gören Ugurdag, Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Workshop Coordinator: Filipe Portela, University of Minho, Portugal Journal Special Issues Coordinator: Lin Guan, Loughborough University, UK Publicity Chair: Joyce El Haddad, University of Paris Dauphine, France Publication Chair: Barbara Masucci, University of Salerno, Italy Track Chairs: Antonio Celesti, University of Messina, Italy Edmundo Madeira, University of Campinas, Brazil Helen Karatza, Aristotle University of Thessaloniki, Greece Joyce El Haddad, University of Paris Dauphine, France Khaled Aloufe, Taibah University, Saudi Arabia Luiz Fernando Bittencourt, University of Campinas, Brazil Madihah Mohd Saudi, Universiti Sains Islam Malaysia, Malaysia Marcin Bajer, ABB Corporate Research Kraków, Poland Marisa Catalan Cid, i2Cat Foundation, Spain Marwan Hassani, Technische Universiteit Eindhoven, The Netherlands Natalia Kryvinska, University of Vienna, Austria Patience Anitta Namanya, Nettitude Group, UK Rafael Angarita, INRIA and Isep, Paris, France Ron Austin, Birmingham City University, UK R. Venkatesha Prasad, Delft University of Technology, The Netherlands Tacha Serif, Yeditepe University, Turkey Tuna Tugcu, Bogaziçi University, Turkey Vijay S. Rao, Delft University of Technology, The Netherlands A. S. M. Kayes, La Trobe University, Australia

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[Announcement] Aristotle University of Thessaloniki MULTIDRONE video dataset for racing bicycle detection/tracking from aerial footage
by Ioannis Mademlis 09 Apr '19

09 Apr '19

== Public video dataset for racing bicycle detection/tracking from aerial footage == The Aristotle University of Thessaloniki (AUTH) is making publicly available a video dataset for racing bicycle detection/tracking from aerial footage, under the auspices of the MULTIDRONE research and development project (https://multidrone.eu/). Benchmark_RAI has been prepared by processing/editing and annotating material made available by Radiotelevisione Italiana (RAI) under the “Giro 2017” MULTIDRONE dataset. It is a dataset consisting of two videos (resolutions: 768 x 432 and 960 x 540) at 25 frames per second. The videos are from Giro d’Italia TV coverage provided by RAI. Annotations are exhaustive, i.e., all objects of a certain class present in a given image are covered by an annotation. Directions for accessing and using the dataset can be found at www.aiia.csd.auth.gr/LAB_PROJECTS/MULTIDRONE/AUTH_MULTIDRONE_Dataset.html ----------------------------------------------------------- Ioannis Mademlis, Ph.D. Research Assistant Artificial Intelligence and Information Analysis Lab (AIIA) Aristotle University of Thessaloniki

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Basics of Parallel Debugging April 12, 2019 2PM CST
by Mary Ann Leung, Ph.D. 08 Apr '19

08 Apr '19

Please share this announcement ============================== Sustainable Horizons Institute Webinar Series Presents: Basics of Parallell Debugging In this webinar, we will introduce participants to strategies for debugging programs utilizing parallel execution. We will first explore how to leverage GNU debugger GDB to investigate some bugs in programs using MPI and OpenMP threading. Then participants will be introduced to the commercial software DDT and how to use that for more efficient parallel debugging. A brief discussion on debugging GPU programs will also be included. TO R EGISTER visit the link: https://goo.gl/forms/ZVdGDRLIoF9Sdhy73 Dr. Jeremy Melvin is an ICES postdoctoral fellow at the University of Texas at Austin. He received his Ph.D in Computational Applied Mathematics from Stony Brook University. His research interests are focused on developing tools and models to improve the predictive capabilities of numerical simulations for turbulent flows in complex engineering problems. This free webinar is part of a quarterly series aimed toward students and early career professionals in STEM, and is organized through the Sustainable Horizons Institute. To contact the SHI Webinar Committee, please email info(a)shinstitute.org If you, or someone you know is interested in giving a webinar, please send us an email!

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ACDL 2019 Titles & Abstracts - Application deadline approaching: April 15 - dvanced Course on Data Science & Machine Learning, Siena - Tuscany, Italy, July 15-19
by Ludovico Montalcini 07 Apr '19

07 Apr '19

ACDL 2019, 2nd Advanced Course on Data Science & Machine Learning, Siena - Tuscany, Italy, July 15-19 - Early Registration: April 15 *** Application deadline approaching: April 15 *** * Apologies for multiple copies. Please forward to anybody who might be interested * ACDL 2019, 2nd Advanced Course on Data Science & Machine Learning An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders ACDL 2019 – A Unique Experience: Data Science, Machine Learning & AI with the World’s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano Certosa di Pontignano, Siena - Tuscany, Italy July 15-19, 2019 https://acdl2019.icas.xyz acdl(a)icas.xyz Early registration deadline: April 15 https://acdl2019.icas.xyz/registration/ LECTURERS: Each Lecturer will hold three lessons on a specific topic. https://acdl2019.icas.xyz/lectures/ Ioannis Antonoglou, Google DeepMind, UK Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Marco Gori, University of Siena, Italy Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Phillip Isola, MIT, USA Lecture 1: Introduction to Generative Adversarial Networks Lecture 2: Conditional GANs and Data Prediction Lecture 3: GANs for Domain Translation Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA Lecture 1: Learning in the factory and in the wild: designing robot systems that learn Lecture 2: Learning factored transition models for planning in complex hybrid spaces Lecture 3: Learning to speed up planning in complex hybrid spaces Ilias S. Kotsireas, Wilfrid Laurier University, Canada Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Dolores Romero Morales, Copenhagen Business School, Denmark Lecture 1: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (Part 1) Lecture 2: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (Part 2) Lecture 3: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (Part 3) Panos Pardalos, University of Florida, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Ruslan Salakhutdinov, Carnegie Mellon University & AI Research at Apple, USA Lecture 1: Introduction to Deep Learning, Neural Networks & Convolutional Neural Networks Lecture 2: Deep Unsupervised Learning Lecture 3: Recent Advances and New Challenges for Deep Learning Lecture 4: Deep Learning for Natural Language Processing/Reading Comprehension Josh Tenenbaum, MIT, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Naftali Tishby, Hebrew University, Israel Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands Lecture 1: Introduction to Automated Machine Learning (AutoML) Lecture 2: Meta-learning Lecture 3: AutoML and meta-learning for neural networks Oriol Vinyals, Google DeepMind, UK Lecture 1: Graph Neural Networks Lecture 2: Reinforcement and Imitation Learning at Scale: AlphaStar and Beyond Lecture 3: Meta Learning SCOPE: The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. CALL FOR POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://acdl2019.icas.xyz/registration/ Early registration deadline: April 15 ACDL 2019 Best Poster Award AIxIA sponsors the ACDL 2019 Best Poster Award with a cash prize of 600 Euro. VENUE & ACCOMMODATION: The venue of ACDL 2018 will be The Certosa di Pontignano — Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info(a)lacertosadipontignano.com lorenzopasquinuzzi(a)lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2019.icas.xyz/venue/ ACCOMMODATION: https://acdl2019.icas.xyz/accommodation/ REGISTRATION: https://acdl2019.icas.xyz/registration/ We remind you that ACDL 2018 sold out a long time before the registration deadline! Anyone interested in participating in ACDL 2019 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in Tuscany next July! ACDL 2019 Organizing Committee. ACDL 2019 Poster: https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/01/poster-ACDL-20… acdl(a)icas.xyz https://acdl2019.icas.xyz Past Edition - ACDL 2018: https://acdl2018.icas.xyz https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences * Apologies for multiple copies. Please forward to anybody who might be interested * * Please help us distributing in your circles (emails, blogs, and social networks) the call for participation and call for oral talks/posters for ACDL 2019. Together we will make ACDL 2019 a great event! *

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[DEADLINE APPROACHING] The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019)
by Massimo CAFARO 05 Apr '19

05 Apr '19

WPDM 2019 The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019) http://sara.unisalento.it/~cafaro/WPDM2019/ CALL FOR PAPERS The Third Workshop on Parallel and Distributed Data Mining (WPDM 2019) will be held in conjunction with The 19th International Conference on Computational Science and Its Applications (ICCSA 2019), http://www.iccsa.org Saint Petersburg University, Saint Petersburg, Russia July 1-4 2019 Final deadline for submissions extended to: April 7, 2019 SCOPE AND OBJECTIVES The Workshop on Parallel and Distributed Data Mining is an international forum which brings together researchers and practitioners working on different high-performance aspects of data mining algorithms, enabling novel applications. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. Therefore, there is an increasing interest in the design and implementation of parallel data mining algorithms. On parallel computers, by exploiting the vast aggregate main memory and processing power of processors and accelerators, parallel algorithms can easily address both the running time and memory requirement issues. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of data mining algorithms and applications. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance data mining algorithms and applications, and related topics. The WPDM Workshop topics include (but are not limited to) the following: - Parallel data mining algorithms using MPI and/or OpenMP - Parallel data mining algorithms targeting GPUs and many-cores accelerators - Parallel data mining applications exploiting FPGA - Distributed data mining algorithms - Benchmarking and performance studies of high-performance data mining applications - Novel programming paradigms to support high-performance computing for data mining - Performance models for high-performance data mining applications and middleware - Programming models, tools, and environments for high-performance computing in data mining - Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining INSTRUCTIONS FOR PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above topics. Submitted papers must not have been published or simultaneously submitted elsewhere. The submitted paper must be between 10 to 16 pages long and formatted according to the Springer LNCS (Lecture Notes in Computer Science) rules, Guidelines and templates can be found at the url http://www.springer.com/it/computer-science/lncs/conference-proceedings-gui… To submit a paper, please connect to the Submission site from the link available at the ICCSA 2019 web site: http://ess.iccsa.org. Only papers submitted through the electronic system and strictly adhering to the relevant format will be considered for reviewing and publication. Please pay attention, when submitting your contribution to the workshop, to select the right entry in the listbox shown in the submission form. CONFERENCE POLICY By submitting the paper to ICCSA conference, all authors agree to abide by all ICCSA conference paper submission, publication and presentation policies. Namely, authors confirm that the work is original, has not appeared in literature in any form in the past and will not be submitted to any other venue concurrently with ICCSA submission or until it appears in ICCSA proceedings (in the case of acceptance). Furthermore, upon paper acceptance, authors agree to transfer copyright on the accepted paper to ICCSA, and one of the authors will register the paper and present the paper at the event. No paper withdrawals can be accepted after Conference pre-registration date or within three months of the actual event, whichever date comes first. Paper withdrawal request can be only accepted in writing through email, letter or fax to conference organizers. The conference has no responsibility for any intentional or accidental misuse, misinterpretation, or failure to follow above rules and conditions and holds no legal, civil or other responsibility for opinions, content or utilization of any methods/algorithms expressed in the Conference Proceedings. If you have any questions about paper submission or the workshop, please contact the workshop organisers. IMPORTANT DATES April 7, 2019: Deadline for paper submission April 24, 2019: Notification of Acceptance. May 8, 2019: Early-bird Registration ends. May 8, 2019: Submission deadline for the final version of the Papers July 1-4, 2019: ICCSA 2019 Conference WORKSHOP ORGANIZERS Massimo Cafaro University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: massimo.cafaro(a)unisalento.it Italo Epicoco University of Salento, Italy Phone: +39 0832 297235 Fax: +39 0832 297235 Email: italo.epicoco(a)unisalento.it Marco Pulimeno University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: marco.pulimeno(a)unisalento.it Giovanni Aloisio University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy Phone: +39 334 6501704 Fax: +39 0832 297235 Email: giovanni.aloisio(a)unisalento.it All submitted papers will be reviewed by the workshop technical program committee members. International Program Committee: Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA Giuseppe Di Fatta, University of Reading, UK Ann Gordon-Ross, University of Florida, USA Kenli Li, Hunan University, China Donato Malerba, University of Bari, Italy Barbara Masucci, University of Salerno, Italy Mitsunori Ogihara, University of Miami, USA Takahiko Shintani, The University of Electro-Communications , Japan Domenico Talia, University of Calabria, Italy Paolo Trunfio, University of Calabria, Italy Jeffrey D. Ullman, Stanford University, USA Laurence T. Yang, St Francis Xavier University, Canada - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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Call for papers: Workshop on HPC Education and Training for Emerging Technologies (ISC19)
by Mozhgan Kabiri Chimeh 05 Apr '19

05 Apr '19

************************************************************ ************************************* *Call for Papers (HETET19 <https://sighpceducation.acm.org/events/HETET19.html>)* *ISC19 Conference (Frankfurt, Germany)* *June 16-20, 2019 https://www.isc-hpc.com/ <https://www.isc-hpc.com/>* *Submission Deadline: April 20, 2019* *Paper submission is available online via: EasyChair for HETET19 website. <https://easychair.org/conferences/?conf=hetet19> * *************************************************************************************************** *Workshop on HPC Education and Training for Emerging Technologies (HETET19 <https://sighpceducation.acm.org/events/HETET19.html>)* The HETET19 workshop is an ACM SIGHPC Education Chapter <https://sighpceducation.acm.org/>coordinated effort aimed at fostering collaborations among the practitioners from traditional and emerging fields to explore strategies to enhance computational, data-enabled, AI and HPC educational needs. Attendees will discuss approaches for developing and deploying HPC education and training, as well as identifying new challenges and opportunities for keeping pace with the rapid pace of technological advances - from collaborative and online learning tools to new HPC platforms; advanced technology solutions supporting HPC, Accelerated Analytics, and AI applications. The workshop will provide opportunities for: learning about methods for conducting effective HPC education and training for emerging technologies; promoting collaborations among HPC educators, trainers and users; and for disseminating resources, materials, lessons learned and good/best practices. This half-day workshop is aimed at users, professionals, researchers, scholars, educators, and other interested community members with an active interest in training, educating, using and supporting the HPC community of developers, researchers, educators, and practitioners. *The workshop will include a panel, presentations and lightning talks. Topics of interest include but are not limited to:* · Pedagogical methods/tools for High performance data analytics and cognitive computing · Best practices and models for teaching and learning HPC topics and course materials · Sustainable educational strategies for HPC education and training · Emerging and scalable online environments and tools for HPC education and training · Evaluation and assessment of training and instructional materials · Legal issues involved in training (e.g. ADA compliance, software licenses, intellectual property rights, etc.) · Novel andragogical approaches for training and education · Pedagogical methods/tools for non-traditional HPC disciplines · Pedagogical methods/tools enabling HPC, Accelerated Analytics, and AI Applications We invite submissions for full papers and extended abstract lightning talks. * All accepted papers and extended abstracts will be considered for publication in a special issue of Journal of Computational Science Education <http://jocse.org/>.* *Important Dates:* Submission Deadline: April 20, 2019 Notification of acceptance: April 27, 2019 Final camera ready submissions: June 1, 2019 *Paper Submission* To be accepted for publication, each paper should describe: · the nature of the training or education program · strategy · assessment or evaluation technique · situations for which it is relevant or in which it was applied · an evaluation of its success · lessons learned · reproducibility of the processes and resources · relevance to the broad range of training or education topics associated with the workshop *Paper Format* The submitted paper must follow the Journal of Computational Science Education templates to generate your PDF: MS Word <http://shodor.org/media/content/jocse/content/JOCSE_Word_Template.zip> and Latex <http://shodor.org/media/content/jocse/content/JOCSE_LaTeX_Template.zip>. Papers that do not comply with ACM format and maximum 8 page length limit will be returned. *Paper submission is available online via: EasyChair for HETET19 website. <https://easychair.org/conferences/?conf=hetet19> * *Organizing Committee:* · Nitin Sukhija, Slippery Rock University of Pennsylvania · Scott Lathrop, NCSA, University of Illinois at Urbana-Champaign · Nia Alexandrov, Daresbury Laboratory, Sci-Tech Daresbury *About SIGHPC Education* The SIGHPC Education chapter has as its purpose the promotion of interest in and knowledge of applications of High Performance Computing (HPC) https://sighpceducation.acm.org -- Dr Mozhgan Kabiri *Chimeh* *R*esearch *A*ssociate / *RSE* Department of Computer Science, University of Sheffield 0114 222 1896 | mkchimeh.com

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DeCPS 2019 - Dependable and Cyber-Physical Systems Engineering
by Dirk.Craeynest＠cs.kuleuven.be 03 Apr '19

03 Apr '19

[Apologies if you receive multiple copies of this call for papers.] ======================================================================= Call for Papers DeCPS 2019 - Workshop on Challenges and new Approaches for Dependable and Cyber-Physical Systems Engineering 14 June 2019, Warsaw, Poland Co-located with the Ada-Europe 24th International Conference on Reliable Software Technologies Conference web site: http://www.ada-europe.org/conference2019 ======================================================================= --- Scope --- In recent years, the Internet of Things (IoT) has experienced an extraordinary development with a broad impact on society; however, there is still a gap between the physical world and the cyber one. Cyber Physical Systems (CPS) constitute a new class of engineered systems, integrating software control and autonomous decision making with signals from an uncertain and dynamic environment. Internet transformed the way people interact and deal with information. CPS technology transformed the way people interact with engineered systems. For this type of systems, it is necessary not only ensuring the safety of physical devices but also other factors such as information about customers, suppliers, and organizational strategies needs to be secured. In the context of cyber systems, the Artificial Intelligence (AI) technologies can contribute to manage a huge amount of heterogeneous data that come from different sources without human intervention. To deliver certification, standards for machine safety are highly recommended as they give confidence to the regulatory. The generic standard for safety-related hardware and software might be applicable, however, due to increasing autonomy of robots there is still a potential for evolution of such regulations or standards. The proper combination of AI, CPS and IoT is therefore fundamental. CPS are considered a disruptive technology which will transform the traditional manufacturing into Industry 4.0 solutions, and are used in a very wide spectrum of applications: smart mobility, autonomous driving, digital healthcare, smart grids and buildings, mobile co-operating autonomous robotic systems, digital consumer products and services. "In conclusion, the emerging Digital (R)-evolution relies heavily on Embedded Intelligent Systems technologies in domains where it is paramount that Europe takes leadership role" (Laila Gide, "The pathway to digital transformation: an opportunity for Europe", ARTEMIS Magazine 20 May 2016). This workshop aims to provide a platform to industrial practitioners, researchers and engineers in academia to exchange of their ideas, research results, experiences in the field of dependable and cyber physical systems engineering, both a theoretical and practical perspective. To foster visibility and interaction, participation in the workshop will be also open to conference participants (at no extra cost). --- Topics of interest --- The topics of interest includes, but are not limited to: * Vehicle of the Future * Transport and Mobility * Industry 4.0 in transportation sector * Security and comfort of the end-user * Human/Machine Interaction * Safety and Security * Industrial experiments and case studies * Integration of Internet of Things and Cloud Computing * Evolution of standards and certification processes * Impact of Artificial Intelligence in CPS The workshop will also include contributions from relevant projects in the domain, such as Future Factories in the Cloud (FiC), Productive 4.0, AMASS, ENABLE-S3, SafeCOP, SCOTT, etc. --- Paper submission --- Submission of regular papers (4 pages, AUJ style) at the following page: https://easychair.org/conferences/?conf=decps2019 The post-workshop proceedings will be published in the Ada User Journal (http://www.ada-europe.org/auj/guide/). --- Important dates --- * Submission deadline: 30 April 2019 * Notification to authors: 17 May 2019 * Workshop : 14 June 2019 * After-workshop final version: 15 September 2019 * Publication in Ada User Journal: December 2019 --- Track Chairs --- * Faiz Ul Muram, Mälardalen Univ., Sweden --- Steering Committee --- * Daniela Cancila, CEA LIST, France * Martin Torngren, KTH Royal Institute of Technology, Sweden * Alessandra Bagnato, SOFTEAM, France * Cristina De Luca, Infineon Technologies Austria AG Austria * Silvia Mazzini, INTECS Italy * Laurent Rioux, Thales, France * Barbara Gallina, Mälardalen Univ., Sweden * Luis Miguel Pinho, Polytechnic Institute of Porto, Portugal ======================================================================= Dirk.Craeynest(a)cs.kuleuven.be, Ada-Europe 2019 Publicity Chair *** Ada-Europe 24th Intl. Conf. on Reliable Software Technologies *** June 11-14, 2019 * Warsaw, Poland * www.ada-europe.org/conference2019

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MobiSPC 2019 CfPs: The 16th Intrl. Conf. on Mobile Systems and Pervasive Computing: Extended Submission Date (April 18, 2019)
by Davidekova Monika 03 Apr '19

03 Apr '19

CallforPapers The 16th International Conference on Mobile Systems and Pervasive Computing, (MobiSPC'19) August 19-21, 2019, Halifax, Canada http://cs-conferences.acadiau.ca/mobispc-19/ IMPORTANT DATES - Workshop Proposal Due: February 15, 2019 - Paper Submission Due: April 18, 2019 (Extended) - Acceptance Notification: May 25, 2019 - Final Manuscript Due: June 25, 2019 About Mobile Systems and Pervasive Computing (MobiSPC) have evolved into an active area of research and development. This is due to the tremendous advances in a broad spectrum of technologies and topics, including wireless networking, mobile and distributed computing, sensor systems, RFID technology, and the ubiquitous mobile phone. MobiSPC-2019 solicits papers that focus on the theory, systems, practices and challenges of providing users with a successful mobile or wireless experience. This includes how mobile computing changes how people pervasively use their computers, computing resources and applications, as well the systems, services and technologies enabling those applications. MobiSPC-2019 will provide a leading edge, scholarly forum for researchers, engineers, and students alike to share their state-of-the art research and developmental work in the broad areas of pervasive computing and mobile systems. Publication All MobiSPC 2019 accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Science is hosted by Elsevier on www.Elsevier.com<http://www.elsevier.com/> and on Elsevier content platform ScienceDirect (www.sciencedirect.com<http://www.sciencedirect.com/>), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com<http://www.scopus.com/>) and by Thomson Reuters' Conference Proceeding Citation Index (http://thomsonreuters.com/conference-proceedings-citation-index/). All papers in Procedia will also be indexed by Scopus (www.scopus.com<http://www.scopus.com/>) and Engineering Village (Ei) (www.engineeringvillage.com<http://www.engineeringvillage.com/>). This includes EI Compendex (www.ei.org/compendex<http://www.ei.org/compendex>). Moreover, all accepted papers will be indexed in DBLP (http://dblp.uni-trier.de/). The papers will contain linked references, XML versions and citable DOI numbers. You will be able to provide a hyperlink to all delegates and direct your conference website visitors to your proceedings. Selected papers will be invited for publication, in the following special issues: - International Journal of Ambient Intelligence and Humanized Computing (IF: 1.588), by Springer (http://www.springer.com/engineering/journal/12652) - International Journal of Computing and Informatics (IF: 0.504) (http://www.cai.sk/ojs/index.php/cai/index) - IEEE Intelligent Transportation Systems Magazine (IF: 3.654), by IEEE (http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5117645) MobiSPC 2019 will be held in conjunction with The 14th International Conference on Future Networks and Communications (FNC'19). http://cs-conferences.acadiau.ca/fnc-19/ Venue MobiSPC 2019 is co-organized & co-hosted by Acadia and Dalhousie Universities. MobiSPC 2019 will be held in Halifax, Nova Scotia, Canada. Halifax is located on the east coast of Canada and is approximately 6-hour flight from London, UK and a 2-hour flight from Toronto, Ontario. Halifax is a vibrant and modern city which is home to multiple academic institutions and where visitors can enjoy a variety of activities and entertainment from whale watching to Jazz festivals to world-class cuisine. Halifax is also home to the Maritime Museum of the Atlantic which contains the world largest collection of Titanic artifacts. Nova Scotia is a picturesque province with many National and Provincial parks, and as stated in the Guinness Book of World Records, has the highest tides in the world. Conference Tracks Component-based IoT Enabling Technologies and Emerging Topics Internet of Things (IoT) Mobile Cloud Computing Mobile Data Management Mobile Social Networking Pervasive Computing Smart Cities and Ubiquitous Climate Change Management Smart Communities and Ubiquitous Systems Mobile Systems and Applications Committees General Chair Hossam Hassanein, Queen's University, Canada Program Chair Jamal Bentahar, Concordia University, Canada Elhadi Shakshuki, Acadia University, Canada Workshops Chair Stéphane Galland, Université de Technologie de Belfort-Montbéliard, France Local Chair Abdelouahed Gherbi, Quebec University, Canada Ahsan Habib, Dalhousie University, Canada Israat Haque, Dalhousie University, Canada Tracks Chairs Muhammad Adnan, Hasselt University, Belgium Longbiao Chen, Xiamen University, China Carmela Comito, National Research Council of Italy, Italy Danny Hughes, K. U. Leuven, Belgium Camille Kamga, The City College of New York, USA Prashant Kumar, University of Surrey, UK Hamid Mcheick, UQAC, Canada Yongrui (Louie) Qin, University of Huddersfield, UK Rahim Rahmani, Stockholm University, Sweden Michael Sheng, Macquarie University, Australia Qussai Yaseen, Jordan University of Science and Technology, Jordan International Journals Chair Atta Badii, Reading University, UK Publicity Chairs Monika Davidekova, Comenius University, Slovak Republic B. B. Gupta, National Institute of Technology Kurukshetra, India Advisory Committee Abdelfettah Belghith, University of Manouba, Tunisia Flavien Balbo, Ecole Nationale Supérieure des Mines de Saint Etienne, France Erol Gelenbe, Imperial College, UK Vincenzo Loia, University of Salerno, Italy Javier Sanchez Medina, University of Las Palmas de Gran Canaria, Spain Ralf Steinmetz, Technische Universitaet Darmstadt, Germany Mohamed Younis, University of Maryland Baltimore County, USA Technical Program Committee http://cs-conferences.acadiau.ca/mobispc-19/#programCommittees

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—Call for papers: 16th International Colloquium on Theoretical Aspects of Computing (ICTAC 2019).
by SAOUSSEN CHEIKHROUHOU 03 Apr '19

03 Apr '19

—Call for papers: 16th International Colloquium on Theoretical Aspects of Computing (ICTAC 2019). http://ictac2019.redcad.org (Apologies if you have received multiple copies of this call for papers) We are pleased to invite you to submit papers for the 16th International Colloquium on Theoretical Aspects of Computing (ICTAC 2019), which will be held from 30th October to 4th November 2019, in Hammamet, Tunisia. The aim of the colloquium is to bring together practitioners and researchers from academia, industry and government to present research results, and exchange experience, ideas, and solutions for their problems in theoretical aspects of computing. ICTAC also aims to promote research cooperation between developing and industrial countries. The proceedings will be published as a volume of Springer's LNCS series. The important dates are: Abstracts 5 May 2019 Papers 12 May 2019 Notification 21 July 2019 Final version 11 August 2019 Conference 30 October to 4 November 2019 Special issue: Authors of the best contributions will be invited to submit a revised and extended version to a special issue, to be published in Elsevier's Theoretical Computer Science. Invited Speakers: Thomas A. Henzinger, Institute of Science and Technology, Austria Patrick Cousot, Courant Institute of Mathematical Sciences, New York University, USA Dominique MÈry, University of Lorraine, France Topics of interest include, but are not limited to, the following: Languages and automata Semantics of programming languages Logic in computer science Lambda calculus, type theory and category theory Domain-specific languages Theories of concurrency and mobility Theories of distributed, grid and cloud computing Models of objects and components Coordination models Models of software architectures Autonomous systems Timed, hybrid, embedded and cyber-physical systems Static analysis Software verification Software testing Program generation and transformation Model checking and automated theorem proving Interactive theorem proving Verified software, formalized programming theory We solicit the following types of papers: - Regular papers, with original research contributions; - Short papers, with original work in progress or with proposals of new ideas and emerging challenges; - Tool papers, on tools that support formal techniques for software modeling, system design, and verification. Submissions must adhere to the LNCS format. Regular papers should not exceed 18 pages (excluding bibliography of maximum 2 pages). Short and tool papers should not exceed 10 pages. Submissions must not have been published or be under consideration for publication elsewhere. All submissions will be judged on the basis of originality, contribution to the field, technical and presentation quality, and relevance to the conference. Each paper submission will be reviewed by at least three members of the Programme Committee. All contributions to ICTAC 2019 have to be submitted electronically in PDF format via Easy Chair (https://easychair.org/conferences/?conf=ictac2019)and have to follow the Springer LNCS paper format. One author of each accepted paper must attend the conference to present it, having paid the regular registration fee. The ICTAC committee will evaluate and select the best paper award winner. The winner will receive a cash award. Steering Committee: Ana Cavalcanti (University of York, UK) (chair) Martin Leucker (Universit‰t zu L¸beck, DE) Zhiming Liu (Southwest University, CN) Tobias Nipkow (Technische Universit‰t M¸nchen, DE) Augusto Sampaio (Universidade Federal de Pernambuco, BR) Natarajan Shankar (SRI International, US) General chairs: Mohamed Jmaiel, University of Sfax, Tunisia Walid Gaaloul, Paris-Saclay University, France Programme chairs: Robert M. Hierons, University of Sheffield, UK Mohamed Mosbah, LaBRI, Bordeaux INP, FR Programme Committee (provisional/draft) Eric Badouel (IRISA, FR) Kamel Barkaoui (CEDRIC - CNAM, FR) FrÈdÈric Blanqui (INRIA, FR) Eduardo Bonelli (Universidad Nacional de Quilmes, AR) Ana Cavalcanti (University of York, UK) Uli Fahrenberg (LIX, FR) Adrian Francalanza (University of Malta, MT) Ahmed Hadj Kacem (University of Sfax, TN) Edward Hermann Haeusler (PontifÌcia Universidade CatÛlica do Rio de Janeiro, BR) Ross Horne (Nanyang Technological University, SG) David Janin (University of Bordeaux, FR) Jan Kretinsky (Technische Universit‰t M¸nchen, DE) Martin Leucker (Universit‰t zu L¸beck, DE) Radu Mardare (Aalborg Universitet, DK) Dominique MÈry (LORIA, FR) Mohammadreza Mousavi (University of Leicester, UK) Tobias Nipkow (Technische Universit‰t M¸nchen, DE) Maciej PirÛg (Wroclaw University, PL) Sanjiva Prasad (IIT Delhi, IN) Riadh Robbana (University of Carthage, TN) Augusto Sampaio (Universidade Federal de Pernambuco, BR) Georg Struth (University of Sheffield, UK) Cong Tian (Xidian University, CN) Tarmo Uustalu (Reykjavik University, IS / Tallinn University of Technology, EE)

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ACDL 2019, Titles of the Lectures - Advanced Course on Data Science & Machine Learning, Siena - Tuscany, Italy, July 15-19
by Ludovico Montalcini 03 Apr '19

03 Apr '19

ACDL 2019, 2nd Advanced Course on Data Science & Machine Learning, Siena - Tuscany, Italy, July 15-19 - Early Registration: April 15 * Apologies for multiple copies. Please forward to anybody who might be interested * ACDL 2019: An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders A Unique Experience: Data Science, Machine Learning & AI with the World’s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano https://acdl2019.icas.xyz acdl(a)icas.xyz Early registration deadline: April 15 https://acdl2019.icas.xyz/registration/ LECTURERS: Each Lecturer will hold 3 lessons on a specific topic. https://acdl2019.icas.xyz/lectures/ Ioannis Antonoglou, Google DeepMind, UK Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Marco Gori, University of Siena, Italy Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Phillip Isola, MIT, USA Lecture 1: Introduction to Generative Adversarial Networks Lecture 2: Conditional GANs and Data Prediction Lecture 3: GANs for Domain Translation Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA Lecture 1: Learning in the factory and in the wild: designing robot systems that learn Lecture 2: Learning factored transition models for planning in complex hybrid spaces Lecture 3: Learning to speed up planning in complex hybrid spaces Ilias S. Kotsireas, Wilfrid Laurier University, Canada Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Dolores Romero Morales, Copenhagen Business School, Denmark Lecture 1: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (Part 1) Lecture 2: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (Part 2) Lecture 3: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (Part 3) Panos Pardalos, University of Florida, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Ruslan Salakhutdinov, Carnegie Mellon University & AI Research at Apple, USA Lecture 1: Introduction to Deep Learning, Neural Networks & Convolutional Neural Networks Lecture 2: Deep Unsupervised Learning Lecture 3: Recent Advances and New Challenges for Deep Learning Lecture 4: Deep Learning for Natural Language Processing/Reading Comprehension Josh Tenenbaum, MIT, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Naftali Tishby, Hebrew University, Israel Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands Lecture 1: Introduction to Automated Machine Learning (AutoML) Lecture 2: Meta-learning Lecture 3: AutoML and meta-learning for neural networks Oriol Vinyals, Google DeepMind, UK Lecture 1: Graph Neural Networks Lecture 2: Reinforcement and Imitation Learning at Scale: AlphaStar and Beyond Lecture 3: Meta Learning SCOPE: The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. CALL FOR POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://acdl2019.icas.xyz/registration/ Early registration deadline: April 15 ACDL 2019 Best Poster Award AIxIA sponsors the ACDL 2019 Best Poster Award with a cash prize of 600 Euro. VENUE & ACCOMMODATION: The venue of ACDL 2018 will be The Certosa di Pontignano — Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info(a)lacertosadipontignano.com lorenzopasquinuzzi(a)lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2019.icas.xyz/venue/ ACCOMMODATION: https://acdl2019.icas.xyz/accommodation/ EARLY REGISTRATION: by April 15 https://acdl2019.icas.xyz/registration/ We remind you that ACDL 2018 sold out a long time before the registration deadline! Anyone interested in participating in ACDL 2019 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in Tuscany next July! ACDL 2019 Organizing Committee. ACDL 2019 Poster: https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/01/poster-ACDL-20… acdl(a)icas.xyz https://acdl2019.icas.xyz Past Edition - ACDL 2018: https://acdl2018.icas.xyz https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences * Apologies for multiple copies. Please forward to anybody who might be interested * * Please help us distributing in your circles (emails, blogs, and social networks) the call for participation and call for oral talks/posters for ACDL 2019. Together we will make ACDL 2019 a great event! *

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Call For Papers- Journal of Real Time Image Processing
by POURYA SHAMSOLMOALI 03 Apr '19

03 Apr '19

Special Issue on Advances in Deep Learning for Real-Time Image Reconstruction and Processing ( ADLIR ) Journal of Real-Time Image Processing The list of possible topics, but are not limited to:  Real-time image and video reconstruction algorithms  Real-time face reconstruction from depth images  New deep learning models for real-time image reconstruction and processing  New objective functions of deep learning for real-time image reconstruction  Real-time MRI and X-ray image processing  Real-time 3D image reconstruction, processing or segmentation  Deep learning and Hybrid models for real-time computational methods  Real-Time deep learning applications for image processing  Survey /review of deep learning in real-time image reconstruction Submission Guideline: Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, the significance of contribution, technical quality, and quality of presentation, by at least three independent reviewers (the papers will be reviewed following standard peer-review procedures of the Journal). Manuscripts are requested according to the Guide for Authors available from the online submission page of the Journal of Real-Time Image Processing (JRTIP) at https://www.editorialmanager.com/rtip/default.aspx . We invite the prospective authors to submit their manuscript, via the online submission system in the main journal page. Please make sure you mention in your cover letter that you are submitting to this special issue (ADLIR). Important Dates:  Paper submission due: April 30, 2019  First notification: June 30, 2019  Revision submission due: August 15, 2019  Final decision: October 30, 2019  Publication date: December 2019 (Tentative) Note: accepted papers are made available online as Online First Articles soon after acceptance. https://static.springer.com/sgw/documents/1650125/application/pdf/CALL+FOR+… -- Pourya Shamsolmoali, PhD Institute of Image Processing & Pattern Recognition Shanghai Jiao Tong University, Shanghai, China. Email: pshams(a)sjtu.edu.cn

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CFP: The Int. Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML 2019)
by Deep ML 03 Apr '19

03 Apr '19

----------------------- Call for Papers (Deadline Extended)----------------------------- The International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML 2019) 26-28 August 2019, Istanbul, Turkey http://www.ficloud.org/deep-ml-2019/ ----------------------------------------------------------------------------- Deep learning and machine learning are the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionize industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, security, manufacturing, education, games, and various other industrial applications. Google, for example, exploits the techniques of deep learning in voice and image recognition applications, while Amazon uses such techniques in helping customers in their online purchase decisions. The International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML) provides a leading forum for researchers, developers, practitioners, and professional from public sectors and industries in order to meet and share latest solutions and ideas in solving cutting edge problems in modern information society and economy. The conference comprises a set of tracks that focus on specific challenges in deep learning and machine learning and their applications in emerging areas. Topics of interest include, but are not limited to, the following: 1) Deep and Machine Learning Models and Techniques: Novel machine and deep learning Active learning; Incremental learning and online learning Agent-based learning; Manifold learning Multi-task learning Bayesian networks and applications Case-based reasoning methods Statistical models and learning Computational learning; Evolutionary algorithms and learning Evolutionary neural networks Fuzzy logic-based learning Genetic optimization Clustering, classification and regression Neural network models and learning Parallel and distributed learning Reinforcement learning Supervised, semi-supervised and unsupervised learning Tensor Learning 2) Deep and Machine Learning for Big Data Analytics: Deep/Machine learning based theoretical and computational models Novel techniques for big data storage and processing Data analysis, insights and hidden pattern Data analysis and decision making Data wrangling, munching and cleaning Data integration and fusion Data visualization Data and information quality, efficiency and scalability Security threat detection using big data analytics Visualizing security threats Enhancing privacy and trust Data analytics in complex applications – finance, business, healthcare, engineering, medicine, law, transportation, and telecommunication 3) Deep and Machine Learning for Data Mining and Knowledge: Data mining in the web and online systems Multimedia; images and video data mining Feature extraction and classification Information retrieval and extraction Distributed and P2P data search Sentiment analysis Mining high velocity data streams Anomaly detection in streaming data Mining social media and social networks Mining sensor and computer networks data Mining spatial and temporal datasets Data classification, clustering, and association Knowledge acquisition and learning Knowledge representation and reasoning Knowledge discovery in large datasets 4) Deep and Machine Learning Application Areas: Bioinformatics and biomedical informatics Finance, business and retail Intelligent transportation Healthcare, medicine and clinical decision support Computer vision Human activity recognition Information retrieval and web search Cybersecurity Natural language processing Recommender systems Social media and networks 5) Deep and Machine Learning for Computing and Network Platforms: Network and communication systems Software defined networks Wireless and sensor networks Internet of Things (IoT) Cloud Computing Edge and Fog Computing Paper Submission: Full papers must be in English and should be between 12 to 14 pages. Short papers should be limited to 8 pages. Papers must be formatted in Springer's LNCS format. Submitted research papers may not overlap with papers that have already been published or that are simultaneously submitted to a journal or a conference with proceedings. Important Dates: Submission Deadline (Extended): 16 April 2019 Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 ORGANISING COMMITTEE General Co-Chairs: Joao Gama, University of Porto, Portugal Edwin Lughofer, Johannes Kepler University Linz, Austria Program Co-Chairs: Irfan Awan, University of Bradford, UK Hadi Larijani, Glasgow Caledonian University, UK Local Organising Co-Chairs: Perin Ünal, Teknopar, Turkey Sezer Gören, Ugurdag Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Publication Chair: Muhammad Younas, Oxford Brookes University, UK Journal Special Issue Coordinator: Lin Guan, Loughborough University, UK Workshop Coordinator: Filipe Portela, University of Minho, Portugal Publicity Chair: Esra N. Yolaçan, Osman Gazi University, Turkey

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CFP: 7th Int. Conf. on Future Internet of Things and Cloud (FiCloud 2019)
by FiCloud Conference 03 Apr '19

03 Apr '19

----------------------Call for Papers (Deadline Extended)------------------------------------------------ The 7th International Conference on Future Internet of Things and Cloud (FiCloud 2019), IEEE CS- TCI 26-28 August 2019, Istanbul, Turkey http://www.ficloud.org/2019/ --------------------------------------------------------------------------------------- The Internet of Things (IoT) vision is to provide a dynamic and global network infrastructure which is characterized by intelligent and self configuring capabilities. IoT is considered as an integral part of the future Internet. It is based on interoperable communication protocols in order to enable the interaction and integration of virtual as well as physical Things such as computers, smart devices, sensors, cars, refrigerators, food packages, medicines, etc. Things can be seamlessly integrated into the information network and interaction can be made through the provision of intelligent interfaces. In not so distant future, IoT will be forcing its way into every aspect of our lives and technologies including smart homes, smart cities, environment and nature, green energy, food, medicine, automotive, aerospace and aviation, telecommunication, and so on. IoT is generally characterized by real world and small Things, limited capacity, constrained devices and the consequential issues such as less reliability, security and privacy. Cloud computing on the other hand deals mainly with virtual world and has unlimited capabilities in terms of storage and processing power. Thus cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner. The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing. CONFERENCE TRACKS: - Cloud Models - SaaS, IaaS, PaaS - Security, Privacy and Trust - Software Systems, Models and Architectures - Mobile Cloud Services - Data and Knowledge Management - Context-awareness and Location-awareness - Software-defined Networking - Performance Evaluation and Modelling - Networking and Communication Protocols - IoT Services and Applications - Smart Environment - Enterprise and Business Models - Energy Efficiency - Federation and Virtualization - Fog and Edge Computing - Industry Track - General Track Paper submission and Publication: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 6 pages. Papers should be prepared using IEEE two-column template. See instructions on the conference website ( http://www.ficloud.org/2019/). All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services. Authors of selected papers will be invited to submit extended versions of their papers for special issues in international journals (see conference website). Important Dates: Submission Deadline Extended (Firm): 16 April 2019 Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 General Chairs: Vincenzo Piuri, University of Milan, Italy Irfan Awan, University of Bradford, UK Program Chairs: Takahiro Hara, Osaka University, Japan Muhammad Younas, Oxford Brookes University, UK Local Organising Chairs: Perin Unal, Teknopar, Turkey Sezer Gören Ugurdag, Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Workshop Coordinator: Filipe Portela, University of Minho, Portugal Journal Special Issues Coordinator: Lin Guan, Loughborough University, UK Publicity Chair: Joyce El Haddad, University of Paris Dauphine, France Publication Chair: Barbara Masucci, University of Salerno, Italy Track Chairs: Antonio Celesti, University of Messina, Italy Edmundo Madeira, University of Campinas, Brazil Helen Karatza, Aristotle University of Thessaloniki, Greece Joyce El Haddad, University of Paris Dauphine, France Khaled Aloufe, Taibah University, Saudi Arabia Luiz Fernando Bittencourt, University of Campinas, Brazil Madihah Mohd Saudi, Universiti Sains Islam Malaysia, Malaysia Marcin Bajer, ABB Corporate Research Kraków, Poland Marisa Catalan Cid, i2Cat Foundation, Spain Marwan Hassani, Technische Universiteit Eindhoven, The Netherlands Natalia Kryvinska, University of Vienna, Austria Patience Anitta Namanya, Nettitude Group, UK Rafael Angarita, INRIA and Isep, Paris, France Ron Austin, Birmingham City University, UK R. Venkatesha Prasad, Delft University of Technology, The Netherlands Tacha Serif, Yeditepe University, Turkey Tuna Tugcu, Bogaziçi University, Turkey Vijay S. Rao, Delft University of Technology, The Netherlands A. S. M. Kayes, La Trobe University, Australia

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SSBSS 2019 Titles of the Lectures - Application deadline: April 30 6th International Synthetic & Systems Biology Summer School, Scuola Normale Superiore di Pisa, Tuscany, Italy July 22-26
by Ludovico Montalcini 03 Apr '19

03 Apr '19

6th International Synthetic & Systems Biology Summer School - SSBSS 2019 July 22-26, 2019 - Scuola Normale Superiore di Pisa, Tuscany, Italy https://ssbss2019.icas.xyz ssbss(a)icas.xyz DEADLINES: Application: April 30 Oral Presentation/Poster Submission: April 30 Notification of Decision for Oral/Poster Presentation: May 15, 2019 https://ssbss2019.icas.xyz/registration/ SPEAKERS & TITLES: https://ssbss2019.icas.xyz/lecturers/ * ADAM ARKIN, University of California, Berkeley, USA Lecture 1: TBA Lecture 2: TBA * ANDREA CALIFANO, Columbia University, USA Lecture 1: "METHODOLOGIES FOR THE ASSEMBLY AND INTERROGATION OF GENE REGULATORY NETWORKS" Lecture 2: "ELUCIDATING AND TARGETING MECHANISMS OF SINGLE CELL STATE MAINTENANCE" * JASON CHIN, MRC Laboratory of Molecular Biology, Cambridge, UK Lecture 1: TBA Lecture 2: TBA * VIRGINIA CORNISH, Columbia University, USA Lecture 1: "Expanding the Synthetic Capabilities of Yeast" Lecture 2: "Molecular Innovations for Live Cell Imaging" * JOHN GLASS, J. Craig Venter Institute, USA Lecture 1: "Design, Construction, and Analysis of a Synthetic Minimal Bacterial Cell" Lecture 2: "Building and grand scale engineering of eukaryotic viral genomes and chromosomes" * Philip Maini, University of Oxford, UK Lecture 1: "Modelling Collective Cell Behaviour: Cranial Neural Crest Migration" Lecture 2: "Modelling Collective Cell Behaviour: Angiogenesis" * KAREN POLIZZI, Imperial College London, UK Lecture 1: "GENETIC CIRCUITS FOR IN VIVO BIOSENSORS: PART 1 BASIC DESIGN ARCHITECTURES" Lecture 2: "GENETIC CIRCUITS FOR IN VIVO BIOSENSORS: PART 2 MODULATING KEY PERFORMANCE CHARACTERISTICS" * WILLIAM SHIH, Harvard Medical School, USA Lecture 1: "DNA-ORIGAMI BARRELS" Lecture 2: "HIFI MOLECULAR TRANSMISSION VIA CRISSCROSS COOPERATIVITY" * JOERG STELLING, ETH Zurich, Switzerland Lecture 1: "Systems Analysis and Design under Uncertainty: Incomplete Knowledge" Lecture 2: "Systems Analysis and Design under Uncertainty: Cell-to-Cell Variability" * SARAH TEICHMANN, Wellcome Trust Sanger Institute & EMBL-EBI, UK Lecture 1: "Reconstructing Tissue Architecture one cell at a time" Lecture 2: TBA * DANIELLE TULLMAN-ERCEK, Northwestern University, USA Lecture 1: "DESIGNING WITH NANOSCALE BUILDING BLOCKS: ENGINEERING SELF-ASSEMBLING PROTEIN SUPERSTRUCTURES FOR APPLICATIONS IN VACCINES, DRUG DELIVERY AND BIOCHEMICAL PRODUCTION" Lecture 2: "ROBUST PROTEIN PRODUCTION AND SECRETION IN BACTERIA USING THE TYPE III SECRETION SYSTEM" * RON WEISS, MIT, USA Lecture 1: "Synthetic Biology: From Parts to Complex Systems" Lecture 2: "Mammalian Synthetic Biology: Therapeutic Perspectives" CALL FOR POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://ssbss2019.icas.xyz/registration/ Early registration deadline: April 30 See you in Pisa in July! The SSBSS 2019 Organizing Committee. Download and share the SSBSS 2019 Poster: https://ssbss2019.icas.xyz/wp-content/uploads/sites/8/2019/01/poster-SSBSS-… ssbss(a)icas.xyz https://ssbss2019.icas.xyz https://www.facebook.com/ssbss.school/ SSBSS - Synthetic & Systems Biology Summer School Group: https://www.facebook.com/groups/238417586492061/ Computational Synthetic Biology Group: https://www.facebook.com/groups/1014624245288596/ https://twitter.com/TaoSciences * Apologies for multiple copies. Please forward to anybody who might be interested *

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[DEADLINE APPROCHING] The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019)
by Massimo CAFARO 03 Apr '19

03 Apr '19

WPDM 2019 The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019) http://sara.unisalento.it/~cafaro/WPDM2019/ CALL FOR PAPERS The Third Workshop on Parallel and Distributed Data Mining (WPDM 2019) will be held in conjunction with The 19th International Conference on Computational Science and Its Applications (ICCSA 2019), http://www.iccsa.org Saint Petersburg University, Saint Petersburg, Russia July 1-4 2019 Final deadline for submissions extended to: April 7, 2019 SCOPE AND OBJECTIVES The Workshop on Parallel and Distributed Data Mining is an international forum which brings together researchers and practitioners working on different high-performance aspects of data mining algorithms, enabling novel applications. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. Therefore, there is an increasing interest in the design and implementation of parallel data mining algorithms. On parallel computers, by exploiting the vast aggregate main memory and processing power of processors and accelerators, parallel algorithms can easily address both the running time and memory requirement issues. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of data mining algorithms and applications. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance data mining algorithms and applications, and related topics. The WPDM Workshop topics include (but are not limited to) the following: - Parallel data mining algorithms using MPI and/or OpenMP - Parallel data mining algorithms targeting GPUs and many-cores accelerators - Parallel data mining applications exploiting FPGA - Distributed data mining algorithms - Benchmarking and performance studies of high-performance data mining applications - Novel programming paradigms to support high-performance computing for data mining - Performance models for high-performance data mining applications and middleware - Programming models, tools, and environments for high-performance computing in data mining - Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining INSTRUCTIONS FOR PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above topics. Submitted papers must not have been published or simultaneously submitted elsewhere. The submitted paper must be between 10 to 16 pages long and formatted according to the Springer LNCS (Lecture Notes in Computer Science) rules, Guidelines and templates can be found at the url http://www.springer.com/it/computer-science/lncs/conference-proceedings-gui… To submit a paper, please connect to the Submission site from the link available at the ICCSA 2019 web site: http://ess.iccsa.org. Only papers submitted through the electronic system and strictly adhering to the relevant format will be considered for reviewing and publication. Please pay attention, when submitting your contribution to the workshop, to select the right entry in the listbox shown in the submission form. CONFERENCE POLICY By submitting the paper to ICCSA conference, all authors agree to abide by all ICCSA conference paper submission, publication and presentation policies. Namely, authors confirm that the work is original, has not appeared in literature in any form in the past and will not be submitted to any other venue concurrently with ICCSA submission or until it appears in ICCSA proceedings (in the case of acceptance). Furthermore, upon paper acceptance, authors agree to transfer copyright on the accepted paper to ICCSA, and one of the authors will register the paper and present the paper at the event. No paper withdrawals can be accepted after Conference pre-registration date or within three months of the actual event, whichever date comes first. Paper withdrawal request can be only accepted in writing through email, letter or fax to conference organizers. The conference has no responsibility for any intentional or accidental misuse, misinterpretation, or failure to follow above rules and conditions and holds no legal, civil or other responsibility for opinions, content or utilization of any methods/algorithms expressed in the Conference Proceedings. If you have any questions about paper submission or the workshop, please contact the workshop organisers. IMPORTANT DATES April 7, 2019: Deadline for paper submission April 24, 2019: Notification of Acceptance. May 8, 2019: Early-bird Registration ends. May 8, 2019: Submission deadline for the final version of the Papers July 1-4, 2019: ICCSA 2019 Conference WORKSHOP ORGANIZERS Massimo Cafaro University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: massimo.cafaro(a)unisalento.it Italo Epicoco University of Salento, Italy Phone: +39 0832 297235 Fax: +39 0832 297235 Email: italo.epicoco(a)unisalento.it Marco Pulimeno University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: marco.pulimeno(a)unisalento.it Giovanni Aloisio University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy Phone: +39 334 6501704 Fax: +39 0832 297235 Email: giovanni.aloisio(a)unisalento.it All submitted papers will be reviewed by the workshop technical program committee members. International Program Committee: Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA Giuseppe Di Fatta, University of Reading, UK Ann Gordon-Ross, University of Florida, USA Kenli Li, Hunan University, China Donato Malerba, University of Bari, Italy Barbara Masucci, University of Salerno, Italy Mitsunori Ogihara, University of Miami, USA Takahiko Shintani, The University of Electro-Communications , Japan Domenico Talia, University of Calabria, Italy Paolo Trunfio, University of Calabria, Italy Jeffrey D. Ullman, Stanford University, USA Laurence T. Yang, St Francis Xavier University, Canada - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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Conferece on computational methods in Andalucia Spain
by Prof. Jesús Vigo Aguiar 02 Apr '19

02 Apr '19

CMMSE 2019 19th Conference on Computational and Mathematical Methods in Science and Engineering Barceló Costa Ballena Golf & SPA June 30-July 6, Cadiz, Andalucia, Spain. http://cmmse.usal.es/cmmse2019/ Call for Presentations and special sessions CALL FOR PRESENTATIONS: The 2019 Conference on Mathematical Methods in Science and Engineering Conference (CMMSE-2019), is the fourteen of this conference series. CMMSE2019 aims to be a unifying, cross-cutting, interdisciplinary gathering, where specialists can have exposure to diverse fields and participate in special sessions different from but still close to their own interests. Standard presentation: 20 minutes in length. Special Sessions: Minimum of 8 presentations. Symposiums more than 12 presentations. Symposiums chairs can act as plenary speakers. FOR SPECIAL SESSIONS PROPOSALS contact: cmmse(a)usal.es IMPORTANT DATES: May 10-- Deadline for submission of Abstracts (3-4 pages) or full papers (12 pages). May 15 -- Notification of Acceptance June 1 –- Registration (with podium) PLEASE RESERVE YOUR HOTEL BEFORE MAY 31th. CANCELLATION IS FREE until 2 days previous to the conference Special issues selection: August 1, 2019 -- Deadline for submission (SPECIAL ISSUES). Sept. 10, 2019-- Special issue final selection. Proceedings will appear at Computer and Mathematical Methods Journal (Willey). Post conference extended versions can be selected to: JOURNALS INVOLVED: (all indexed by SCI-ISI) Computational Chemistry & Mathematical Chemistry • Journal of Mathematical Chemistry, (Springer) • Fullerenes, Nanotubes and Carbon Nanostructures (Taylor & Francis). Computational Mathematics • Journal of Computational and Applied Mathematics, (Elsevier) (solicited) • Mathematical Methods in the Applied Sciences , (John Wiley & Sons). • International Journal of Computer Mathematics, (Taylor & Francis). Computer Science • Journal of Supercomputing, (Springer). 2 EXCURSIONS: (Visit 3 countries in one conference) - Gibraltar and city of Tarifa - Morocco ADDITIONAL INFORMATION: Please check the Conference Web site http://cmmse.usal.es/cmmse2019/ regularly for the most up to date information. ABOUT CADIZ: Being one of the ancient cities of Occidental Europe, the Province of Cadiz, which was baptized by the poet Lord Byron as “Ocean Mermaid”, can be highlighted by many things: its beaches, its places, its people... Inland, its climate with warm temperatures throughout the year and clear skies, harbours a maze of dunes, creeks, salt marshes and beaches of high ecological value, and has been chosen as the scenery of some films like James Bond’s film Die another day or the American film Knight and day. Numerous famous people have been in this city The coast: Cadiz, located between the Atlantic Ocean and the Mediterranean Sea, has 260 km of coast which can be enjoyed with its great variety of miles of sandy beaches with fine and white sand and clear blue water. Along the coast you can also appreciate the wildlife features of this area. Its history is ancient. Tartessos and Phoenicians visited this land more than 3,000 years ago. The Romans and Visigoths also dwelt it and from 711 was a Muslim territory until the second half of the thirteenth century. The passage of different cultures has left their mark in art and culture as well as in the gastronomy and the Flamenco that you will be able to enjoy. There are many places of interest and a large number of activities to be enjoyed in Cadiz. However, the beauty of it is that you can make it as active or as relaxing as you wish during your stay! To find out more about Cadiz and Andalucía have a look in http://www.cadizturismo.com/ and http://www.andalucia.org/. You can find interesting this video about Cadiz: https://m.youtube.com/watch?time_continue=322&v=5nScr1_iih8&ebc=ANyPxKq1q4s…

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Call for Paper - BDAA 2019 : The 6th International Symposium on Big Data Principles, Architectures & Applications
by Hoffmann, Max 02 Apr '19

02 Apr '19

Dear researchers, Please find below the CFP for the 6th International Symposium on Big Data Principles, Architectures & Applications (BDAA 2019), which will be held as part of the 17th International Conference on High Performance Computing & Simulation (HPCS 2019): http://hpcs2019.cisedu.info/2-conference/symposia/symp02-bdaa SCOPE AND OBJECTIVES The challenge of "Big Data" continues to grow and is an active area of significant research. This track focuses on techniques, experiences, applications, and lessons learned for large-scale/big data science, data intensive, and data analytics, particularly in the realms of high performance computing that lead organizations through major transformations. The symposium is to address, explore and exchange information on the state-of-the-art and practice in the broad multidisciplinary field of Big Data Science. Participation is extended to researchers, designers, educators and interested parties in all disciplines and specialties. The symposium aims at providing a forum to bring together researchers and scientists to share and exchange big data related research, technologies, experiences, and lessons for building various types large-scale data intensive and data analytics, with interoperability and coordination capabilities in a high performance and high availability setting. This symposium solicits contributions that address contemporary and future challenges in big data Science, data analytics, and Data Intensive, particularly in collaboration systems, social networks and media, and information technologies. BDAA topics include (but are not limited to) the following: - Theories and Methodologies for Big Data processing - Architectures, Frameworks and Design of Big Data processing systems - Distributed data-intensive computing systems - Managing large-scale big data platforms - Use of big data technologies for science (Hadoop, NoSQL/NewSQL, etc.) - Big data simulation, visualization, modeling tools, and algorithms - Big data intelligence and predictive analysis - (Analysis of dynamic data, such as those collected through sensors, etc.) - Discovery, Collection, and Extraction of information in Big Data sources - Processing of Big Data Streaming - Big Data Mining and Knowledge Discovery - Data Analytics techniques and solutions - Visualization of Big Data and Data Analytics - Applications using big data (WEB, Bio-Data, Industrial Data, etc.) - Big data business implications - Data culture - Experiences, Case Studies and Lessons Learned PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above and other topics related to Big Data Principles, Architectures & Applications for High Performance Computing Systems. Submitted papers must not have been published or simultaneously submitted elsewhere until it appears in HPCS proceedings, in the case of acceptance, or notified otherwise. Submission can be for - Regular papers, please submit a PDF copy of your full manuscript, not to exceed 8 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. - Short papers (up to 4 pages), please submit a PDF copy of your full manuscript, not to exceed 4 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. - Poster papers and Posters (please refer to http://hpcs2019.cisedu.info/1-call-for-papers-and-participation/call-for-po… for posters submission details) will also be considered. Please specify the type of submission you have. Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments. Submit a PDF copy of your full manuscript to the symposium paper submission site at https://easychair.org/conferences/?conf=bdaa2019 . Acknowledgement will be sent within 48 hours of submission. Conference Policies Only PDF files will be accepted, uploaded to the submission link above. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and presentation, language, and references. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. At least one of the authors of each accepted paper will have to register and attend the HPCS 2019 conference to present the paper at the symposium as scheduled. By submitting the paper to the HPCS conference, all authors agree to abide by all HPCS conference paper submission, publication and presentation policies as well as following ethical and professional codes of conduct, including those of the professional co-sponsoring organizations. For more information, please refer to the Authors Info and Registration Info pages. The symposium policy and professional ethics require that referees treat the contents of papers under review as privileged information not to be disclosed to others before publication. It is expected that no one with access to a manuscript under review will make any inappropriate use of the special knowledge which that access provides. Proceedings Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2019 Conference web site. It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference. The proceedings is projected to be included in the IEEE or ACM Digital Library and indexed in all major indexing services accordingly. SPECIAL ISSUE Plans are underway to have the best papers, in extended version, selected for possible publication in a reputable journal as special issue. Detailed information will soon be announced and will be made available on the conference website. If you have any questions about paper submission or the Symposium, please contact the Symposium organizers. Best regards The organizers of BDAA 2019 --- Dr.-Ing. Max Hoffmann MBA Group Leader "Industrial Big Data" Institute of Information Management in Mechanical Engineering Faculty for Mechanical Engineering Cybernetics Lab IMA & IfU RWTH Aachen University

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EUSPN 2019: Call for Workshops Proposals
by Muhammad ADNAN 02 Apr '19

02 Apr '19

------- Call for Workshops Proposals ------------ The 10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN) November 4-7, 2019 Coimbra, Portugal Conference Website: http://cs-conferences.acadiau.ca/euspn-19/ **************************************************** *Important Dates* =========== - Workshop Proposal Due: May 30, 2019 The EUSPN-2019 organizing committee invites proposals for workshops. The main objective of the workshops is to provide a forum for researchers and professionals to discuss a specific topic from the field of EUSPN-2019 and its related areas. All papers accepted for workshops will be included in the EUSPN-2019 proceedings, which will be published by Elsevier. The authors must follow Elsevier guidelines as given in EUSPN-2019 Website. The selective outstanding papers presented at the workshops, after further revision, will be considered for publication in journals special issues. *Pre-proposal Submission Inquiries* ====================== If you are interested to organize a workshop and you wish to discuss ideas for a workshop proposal, please feel free to contact the Workshops Chair. *Proposal Format* =========== - Title of the workshop - Workshop website: tentative address, or old address (if applicable) - Draft call for papers of the workshop - Tentative list of TPC members *Workshops Chair* ============== Dr. Muhammad Adnan, Hasselt University, Belgium (Email: muhammad.adnan(a)uhasselt.be) Dr. Haroon Malik, Marshall University, USA (Email: malikh(a)marshall.edu) Regards -- Dr. Muhammad Adnan Senior Navorser - Senior Researcher Instituut voor Mobiliteit (IMOB) - Transportation Research Institute T +32(0)11 26 91 47 - F +32(0)11 26 91 99 www.uhasselt.be\imob Universiteit Hasselt - Campus Diepenbeek Wetenschapspark 5 bus 6 - B-3590 Diepenbeek Kantoor WETP5-0.10

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3-year PhD on Computat. Visual Neurosci.
by Jesus Malo Lopez 02 Apr '19

02 Apr '19

A 3-year PhD contract in the intersection between visual neuroscience and artificial neural networks is available to work with Prof. Jesus Malo at the Image and Signal Processing Group (http://isp.uv.es) at the Universitat de Valencia (Spain). Salary is 22000 euros/year (gross salary including health care). Candidates should: (1) hold a degree in Computer Science, Physics, Maths, quantitative Neuroscience / Psychology or similar. Call requires that this degree has to be posterior to january 2015 and be from a non-spanish university. (2) have strong analytical and computational skills [e.g. statistics / machine learning / matlab / python]. (3) have genuine interest in biological vision and in participating in psychophysical/physiological experiments to build models applicable in computer vision or image processing, and (4) be able to communicate in english. Candidates may hold a master degree (some postgraduate experience). Master is preferable but not a mandatory condition. We offer a multidisciplinary atmosphere (regular meetings on machine learning and visual perception with other PhD students) and international contacts with possibility of frequent travels for cooperation with other experimental/theoretical labs. The succesful candidate will have the possibility of obtaining a PhD with several high-impact publications. Work will start by september 2019 (i.e. eventual visa issues should be solved before hand!). How to apply: Candidates should [a] write a 1 page statement connecting their previous work (or studies) with our previous work ( see general context in http://isp.uv.es/exchatedra.html or, more specifically, a recent publication from our lab such as https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0201326 ); and [b] send complete CV and the 1 page statement to jesus.malo(a)uv.es

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Special session on Water-based optimization at IEEE SMC'19: Deadline extension
by FERNANDO RUBIO DIEZ 02 Apr '19

02 Apr '19

Dear colleagues, The deadline of the water-based session of IEEE SMC has been extended until April 19th. More details about the session can be found at http://antares.sip.ucm.es/~fernando/SMC19/ Best wishes, Fernando Rubio El lun., 11 mar. 2019 a las 10:16, FERNANDO RUBIO DIEZ (<fernando(a)sip.ucm.es>) escribió: > CALL FOR PAPERS > http://antares.sip.ucm.es/~fernando/SMC19/ > > The last decade has witnessed the emergence of several optimization > metaheuristics based on water mechanics. These general purpose methods deal > with both continuous optimization (e.g. Water Cycle Algorithm, Water Wave > Optimization) and combinatorial optimization (e.g. River Formation > Dynamics, Intelligent Water Drops). Although water-based metaheuristics > are relatively new, they have attracted much attention due to their good > results when applied to a wide variety of optimization problems. In > addition, other problem-specific optimization algorithms where the water > plays a key role have also been proposed in domains such as flood control > or river flow management. > > The goal of this session is to introduce new research on water-based > optimization, emphasizing two main synergies: first, between researchers > developing water-based metaheuristics and researchers facing specific > water-domain optimization problems; and second, between researchers working > on the design of water-based methods and researchers dealing with specific > industrial optimization problems. > > The topics of interest include, but are not limited to: > > · Definition and evaluation of water-based metaheuristics. > > · Hybridization of water-based metaheuristics with other methods > (e.g. other swarm intelligence and evolutionary algorithms, neural > networks, fuzzy logic, etc.). > > · Application of water-based metaheuristcs to new domains. > > · Comparison of water-based algorithms. > > · River flow management. > > · > > Industrial application of water-based methods. > > > *DEADLINES* > > March 31, 2019: deadline for paper submission > > June 7, 2019: notification of acceptance/rejection > > July 7, 2019: deadline for final camera-ready papers. > > > > >

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CFP - The 2019 High Performance Computing & Simulation Conference (HPCS 2019)
by Peter Mueller 02 Apr '19

02 Apr '19

Call for Papers and Participation The 2019 High Performance Computing & Simulation Conference (HPCS 2019) July 15-19, 2019 Dublin, Ireland http://hpcs2019.cisedu.info/home In Cooperation with the ACM, IEEE, IFIP (Main Track Paper Submission Deadline: 08 April 2019 - Final Extension) (Symposia, Workshops and Special Sessions have their own deadlines - please check the track of interest) HPCS Proceedings are planned to be published in IEEE XPLORE (pending) and indexed by all major indexing services, including SCOPUS, EI, Sci, dblp, etc. You are cordially invited to participate in this international conference through paper submission to main track, symposium, workshop or special session, a tutorial, an invited speech, a demo, a poster, an exhibit, a panel discussion, a doctoral dissertation, whichever sounds more appropriate and convenient to you. The conference will include invited presentations by experts from academia, industry, and government as well as contributed paper presentations describing original work on the current state of research in high performance and large scale computing systems, their use in modeling and simulation, their design, performance and use, and their applications. There will also be tutorial sessions, workshops, special sessions, demos, posters, panel discussions, doctoral colloquium, and exhibits. Conference sponsorships are welcomed. In addition to the main track, the conference will have many refereed archived symposia, workshops and special sessions (have different deadlines): Please see the following lists and check the specific track of interest. We also welcome colleagues interested in organizing tracks, including those without current organizers. Symposia: http://hpcs2019.cisedu.info/2-conference/symposia Workshops: http://hpcs2019.cisedu.info/2-conference/workshops Special Sessions: http://hpcs2019.cisedu.info/2-conference/special-sessions Tutorials: http://hpcs2019.cisedu.info/1-call-for-papers-and-participation/call-for-tu… DDC: http://hpcs2019.cisedu.info/1-call-for-papers-and-participation/call-for-do… Demos: http://hpcs2019.cisedu.info/1-call-for-papers-and-participation/call-for-de… Panels: http://hpcs2019.cisedu.info/1-call-for-papers-and-participation/call-for-pa… Posters: http://hpcs2019.cisedu.info/1-call-for-papers-and-participation/call-for-po… Sponsorships: http://hpcs2019.cisedu.info/1-call-for-papers-and-participation/call-for-sp… Exhibits: http://hpcs2019.cisedu.info/1-call-for-papers-and-participation/call-for-ex… SPECIAL ISSUES Authors of selected papers will be invited to submit an extended version of their work for one or more special issues in ISI indexed Journals. HPCS Proceedings are published in IEEE XPLORE and indexed by all major indexing services including SCOPUS, EI, SCI, dblp, etc. FOLLOW US ON Twitter: @HPCS Conference FaceBook: HPCS Conference LinkedIn: HPCS Conference ================================================================= Important Dates: Main Track Paper and Poster Paper Submission Deadline: 08 April 2019 - Final Extension Tutorial/Demo/Panel/Poster Proposal Deadline: 15 April 2019 Main Track Notification of Acceptance starts: 25 April 2019 Registration & Camera-Ready Manuscripts Due: 10 May 2019 Conference Dates: 15-19 July 2019 ================================================================= For further details and updates, please consult the conference web site at URL: http://hpcs2019.cisedu.info/home or http://conf.cisedu.info/rp/hpcs19 or contact one of the organizers. We look forward to your contributions and seeing you in Dublin in July. Thank you very much. Best Regards. HPCS 2019 Organizers

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CfP VHPC19: HPC Virtualization-Containers: Paper due May 1, 2019 (extended)
by Michael Alexander 02 Apr '19

02 Apr '19

==================================================================== CALL FOR PAPERS 14th Workshop on Virtualization in High-Performance Cloud Computing (VHPC '19) held in conjunction with the International Supercomputing Conference - High Performance, June 16-20, 2019, Frankfurt, Germany. (Springer LNCS Proceedings) ==================================================================== Date: June 20, 2019 Workshop URL: http://vhpc.org Paper Submission Deadline: May 1, 2019 (extended) Springer LNCS, rolling abstract submission Abstract/Paper Submission Link: https://edas.info/newPaper.php?c=25685 Call for Papers Containers and virtualization technologies constitute key enabling factors for flexible resource management in modern data centers, and particularly in cloud environments. Cloud providers need to manage complex infrastructures in a seamless fashion to support the highly dynamic and heterogeneous workloads and hosted applications customers deploy. Similarly, HPC environments have been increasingly adopting techniques that enable flexible management of vast computing and networking resources, close to marginal provisioning cost, which is unprecedented in the history of scientific and commercial computing. Various virtualization-containerization technologies contribute to the overall picture in different ways: machine virtualization, with its capability to enable consolidation of multiple underutilized servers with heterogeneous software and operating systems (OSes), and its capability to live-migrate a fully operating virtual machine (VM) with a very short downtime, enables novel and dynamic ways to manage physical servers; OS-level virtualization (i.e., containerization), with its capability to isolate multiple user-space environments and to allow for their coexistence within the same OS kernel, promises to provide many of the advantages of machine virtualization with high levels of responsiveness and performance; lastly, unikernels provide for many virtualization benefits with a minimized OS/library surface. I/O Virtualization in turn allows physical network interfaces to take traffic from multiple VMs or containers; network virtualization, with its capability to create logical network overlays that are independent of the underlying physical topology is furthermore enabling virtualization of HPC infrastructures. Publication Accepted papers will be published in a Springer LNCS proceedings volume. Topics of Interest The VHPC program committee solicits original, high-quality submissions related to virtualization across the entire software stack with a special focus on the intersection of HPC, containers-virtualization and the cloud. Major Topics: - HPC on Containers and VMs - Containerized applications with OS-level virtualization - Lightweight applications with Unikernels - HP-as-a-Service each major topic encompassing design/architecture, management, performance management, modeling and configuration/tooling: Design / Architecture: - Containers and OS-level virtualization (LXC, Docker, rkt, Singularity, Shifter, i.a.) - Hypervisor support for heterogeneous resources (GPUs, co-processors, FPGAs, etc.) - Hypervisor extensions to mitigate side-channel attacks ([micro-]architectural timing attacks, privilege escalation) - VM & Container trust and security models - Multi-environment coupling, system software supporting in-situ analysis with HPC simulation - Cloud reliability, fault-tolerance and high-availability - Energy-efficient and power-aware virtualization - Containers inside VMs with hypervisor isolation - Virtualization support for emerging memory technologies - Lightweight/specialized operating systems in conjunction with virtual machines - Hypervisor support for heterogeneous resources (GPUs, co-processors, FPGAs, etc.) - Novel unikernels and use cases for virtualized HPC environments - ARM-based hypervisors, ARM virtualization extensions Management: - Container and VM management for HPC and cloud environments - HPC services integration, services to support HPC - Service and on-demand scheduling & resource management - Dedicated workload management with VMs or containers - Workflow coupling with VMs and containers - Unikernel, lightweight VM application management - Environments and tools for operating containerized environments (batch, orchestration) - Novel models for non-HPC workload provisioning on HPC resources Performance Measurements and Modeling: - Performance improvements for or driven by unikernels - Optimizations of virtual machine monitor platforms and hypervisors - Scalability analysis of VMs and/or containers at large scale - Performance measurement, modeling and monitoring of virtualized/cloud workloads - Virtualization in supercomputing environments, HPC clusters, HPC in the cloud Configuration / Tooling: - Tool support for unikernels: configuration/build environments, debuggers, profilers - Job scheduling/control/policy and container placement in virtualized environments - Operating MPI in containers/VMs and Unikernels - Software defined networks and network virtualization - GPU virtualization operationalization The Workshop on Virtualization in High-Performance Cloud Computing (VHPC) aims to bring together researchers and industrial practitioners facing the challenges posed by virtualization in order to foster discussion, collaboration, mutual exchange of knowledge and experience, enabling research to ultimately provide novel solutions for virtualized computing systems of tomorrow. The workshop will be one day in length, composed of 20 min paper presentations, each followed by 10 min discussion sections, plus lightning talks that are limited to 5 minutes. Presentations may be accompanied by interactive demonstrations. Important Dates May 1, 2019 - Abstract/Paper extended submission deadline (Springer LNCS) May 20, 2019 - Acceptance notification June 20th, 2019 - Workshop Day July 10th, 2019 - Camera-ready version due Chair Michael Alexander (chair), University of Vienna, Austria Anastassios Nanos (co-chair), SunLight.io, UK Andrew Younge (co-chair), Sandia National Laboratories Program committee Stergios Anastasiadis, University of Ioannina, Greece Jakob Blomer, CERN, Europe Eduardo César, Universidad Autonoma de Barcelona, Spain Taylor Childers, Argonne National Laboratory, USA Stephen Crago, USC ISI, USA Tommaso Cucinotta, St. Anna School of Advanced Studies, Italy Christoffer Dall, Columbia University, USA François Diakhaté, CEA, France Patrick Dreher, MIT, USA Kyle Hale, Northwestern University, USA Bob Killen, University of Michigan, USA Brian Kocoloski, Washington University, USA John Lange, University of Pittsburgh, USA Giuseppe Lettieri, University of Pisa, Italy Qing Liu, Oak Ridge National Laboratory, USA Nikos Parlavantzas, IRISA, France Kevin Pedretti, Sandia National Laboratories, USA Amer Qouneh, Western New England University, USA Carlos Reaño, Queen’s University Belfast, UK Borja Sotomayor, University of Chicago, USA Jonathan Sparks, Cray, USA Joe Stubbs, Texas Advanced Computing Center, USA Anata Tiwari, San Diego Supercomputer Center, USA Kurt Tutschku, Blekinge Institute of Technology, Sweden John Walters, USC ISI, USA Yasuhiro Watashiba, Osaka University, Japan Chao-Tung Yang, Tunghai University, Taiwan Na Zhang, VMware, USA Paper Submission-Publication Papers submitted to the workshop will be reviewed by at least two members of the program committee and external reviewers. Submissions should include abstract, keywords, the e-mail address of the corresponding author, and must not exceed 10 pages, including tables and figures at a main font size no smaller than 11 point. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. Accepted papers will be published in a Springer LNCS volume. The format must be according to the Springer LNCS Style. Initial submissions are in PDF; authors of accepted papers will be requested to provide source files. Format Guidelines: ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip Abstract, Paper Submission Link: https://edas.info/newPaper.php?c=25685 Lightning Talks Lightning Talks are non-paper track, synoptical in nature and are strictly limited to 5 minutes. They can be used to gain early feedback on ongoing research, for demonstrations, to present research results, early research ideas, perspectives and positions of interest to the community. Submit abstract via the main submission link. General Information The workshop is one day in length and will be held in conjunction with the International Supercomputing Conference - High Performance (ISC) 2019, June 16-20, Frankfurt, Germany.

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02 Apr '19

Dear Colleague, The 18th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC'19) will be held at Polytechnic University of Milan, Italy during July 23-25, 2019 (http://www.ucalgary.ca/icci_cc/iccicc-19). The IEEE ICCI*CC series is a flagship conference of its field sponsored by IEEE CS, SMCS and etc. The theme of ICCI*CC’18 is on Cognitive Learning Systems, Brain-Inspired Systems, and Cognitive Robotics, as well as a Cognitive Arts & Science Track jointly sponsored by WAAS, and a Symbiotic Autonomous System Track jointly sponsored by the IEEE SAS Initiative. You are welcome to submit a paper to IEEE ICCI*CC'19 or to organize a special session related to the theme of the conference. The Proceedings of ICCI*CC'19 will be published by IEEE CS Press (EI Indexed). A good rate of selected papers from the conference will be recommended to leading international journals and/or IEEE transactions with ISI/EI indexes. Paper submission site is at https://easychair.org/conferences/?conf=ieeeiccicc2019 . Submission deadline will be on March 1 , 2019. We look forward to having an opportunity to meet you at IEEE ICCI*CC'19. Sincerely, IEEE ICCI*CC'19 Co-Chairs HONORARY CHAIR: Prof. Bernard Widrow (Stanford Univ.) and Prof. Jerome Feldman (UC Berkeley) GENERAL CO-CHAIRS: Prof. Rodolfo A. Fiorini (PolyU Milan, Italy), Prof. Yingxu Wang (U Calgary, Canada), and Prof. Newton Howard (U Oxford, UK) PROGRAM CO-CHAIRS: Dr. Garry Jacobs (WAAS, USA) and Prof. Paolo Soda (U. of Rome, Italy) _______________________________________________ This message was sent to all subscribers of IEEEicci13-L To unsubscribe, see instructions at: http://www.ucalgary.ca/it/email/mailman E-mail: IEEEicci13-L(a)mailman.ucalgary.ca Homepage: http://mailman.ucalgary.ca/mailman/listinfo/ieeeicci13-l

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SI Big Data Semantics IJDS
by Paolo Ceravolo 01 Apr '19

01 Apr '19

JOURNAL ON DATA SEMANTICS SPECIAL ISSUE: BIG DATA SEMANTICS Call for papers The complexity of Big Data applications in conjunction with the lack of standards for representing their components, computations, and processes, have made the design of data-intensive applications a failure prone and resource-intensive activity. One of the reasons behind it can be identified in a lack of sound modeling practices. Indeed, multiple components and procedures must be coordinated to ensure a high level of data quality and accessibility for the application layers, e.g. data analytics and reporting. We believe that a major challenges of Big Data research requires - even more than developing new analytics - devising innovative data management techniques capable to deliver functional and non-functional properties like among others: data quality, data integration, metadata discovery, reconciliation and augmentation, model compliance, or regulatory compliance. Data Semantics research can address such challenges in future research according to the FAIR principles, for implementing design procedures that generate Findable, Accessible, Interoperable, and Reusable data. Methods, principles, and perspectives developed by the Data Semantics community can significantly contribute to this goal. Solutions for integrating and querying schema-less data, for example, have received much attention. Standards for metadata management have been proposed to improve data integration among silos and to make data more discoverable and accessible through heterogeneous infrastructures. A further level of application of Data Semantics principles into Big Data technologies involves Representing Processes, i.e. representing the entire pipeline of technologies connected to achieve a specific solution and make this representation shareable and verifiable to support a mature implementation of the Big Data production cycle. This special issue of the Journal on Data Semantics aims at sharing research and practical achievements in the field of Big Data integration, storage, and processing. Topics of interest for submission include, but are not limited to: • Big Data Management • Metadata Management • Big Data Persistence and Preservation • Big Data Quality and Provenance Control • Big Data Storage and Retrieval • Big Data Integration Architectures and Techniques • Data Source Discovery • Big Data Profiling and Semantics Discovery • Querying Heterogeneous Big Data Repositories • Caching and Materializing Query Results • Quality of Big Data Services • Big Data Service Performance Evaluation • Big Data Service Reliability and Availability • Reproducibility of Big Data Services JOURNAL ON DATA SEMANTICS • Verifiability of Big Data Services • Assurance in Big Data Services • Big Data Visualization • Real Time Visualisation • Visualization Analytics for Big Data • Big Social Media Mining • Big Data Security and Privacy • Big Data System Security and Integrity • Big Data Information Security • Privacy-Preserving Big Data Analytics • Usable Security and Privacy for Big Data • Performance of Big Data Architectures • Query Optimization • Optimal Selection of Analytics • Physical Structures Guest Editors Paolo Ceravolo, Università degli Studi di Milano, Italy Robert Wrembel, Poznan University of Technology, Poland Sylvio Barbon Junior, State University of Londrina, Brazil Editorial Board Antonia Azzini, Consortium for the Technology Transfer (C2T), Italy Clodis Boscarioli, State University of West Paraná - UNIOESTE, Brazil Fadila Bentayeb, Université Lyon 2, France Omar Boussaid, Université Lyon 2, France Philippe Cudre-Mauroux, University of Fribourg, Switzerland Jerome Darmont, Université Lyon 2, France Luke Immes, University of Massachusetts Lowell, USA Maurice van Keulen, University of Twente, The Netherlands Mariangela Lazoi, University of Salento, Italy Marcello Leida, StrabioDB, Spain M. Teresa Gómez López, University of Seville, Spain Azzam Mourad, Lebanese American University of Beirut, Lebanon JOURNAL ON DATA SEMANTICS Jaroslav Pokorny, Charles University, Czech Republic Kai-Uwe Sattler, TU Ilmenau, Germany Darja Solodovnikova, University of Latvia, Latvia Sean Wolfgand Matsui Siqueira, Federal University of Rio de Janeiro State, Brazil Fadi Zaraket, American University of Beirut, Lebanon Bruno Bogaz Zarpelão, State University of Londrina, Brazil Timetable: 10 Nov 2019 - paper submission 25 Jan 2020 - author notification 15 Mar 2020 - revision submission 25 Apr 2020 - final acceptance notification 10 Jun 2020 - camera-ready submission Submission Guidelines JoDS is looking for high-quality papers on any topic relevant to the journal, including regular papers, survey papers, industry papers, short papers, position papers, and reports. Submissions should contain original material that has not been submitted or published elsewhere. The submission should include an abstract and keywords, authors, and specify which author serves as contact author. All submissions will be carefully reviewed by at least three experts. Submissions have to be formatted according to the journal’s guidelines at http://www.springer.com/13740 and have to be uploaded into Springer’s Electronic Management System at https://www.editorialmanager.com/jods JoDS is abstracted/indexed in: Google Scholar, DBLP, OCLC, Summon by ProQuest. Selected sample articles are available at http://www.springer.com/13740 ISSN: 1861-2032 (print version) ISSN: 1861-2040 (electronic version) Any questions should be addressed to the Guest Editors Paolo Ceravolo, paolo.ceravolo(a)unimi.it Robert Wrembel, robert.wrembel(a)cs.put.poznan.pl Sylvio Barbon Junior, barbon(a)uel.br

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IEEE ICCCN: Social Media Sensing in Valencia
by Marco Furini 01 Apr '19

01 Apr '19

CALL FOR PAPERS (Extended Deadline - Firm) SOCIAL MEDIA SENSING WORKSHOP July 29 – August 1, 2019 Valencia, Spain in conjunction with the 28th International Conference on Computer Communications and Networks (ICCCN 2019) http://www.cs.unibo.it/~mirri/sms19/ http://www.icccn.org/icccn19/index.html SUBMISSION DEADLINE April, 14, 2019 (FIRM) https://easychair.org/conferences/?conf=icccn2019 PUBLICATION IEEE Proceedings SCOPE Billions of users daily interact with social media platforms such as Facebook, Instagram, Pinterest, Twitter, etc. The checking of the preferred social media platform is becoming the first thing to do at wake-up time, and the last thing to do before falling asleep. With no doubts, social media revolutionized the content ecosystem and the behavior of millions of people. Within social media, people communicate, collaborate and share information, and within Online Social Media Data (OSMD), it is possible to find contents and metadata about people, brands, products, services, personal preferences, issues, etc. Not surprisingly, OSMD are being used to understand people’s opinions and to measure citizens’ feelings. Indeed, this knowledge represents a critical factor in strategic decision processes, as it may be helpful in identifying problems and strengthening strategies. For instance, politicians may gauge the public mood to improve their political decisions, enterprise managers may increase customers engagement by tracking what people think about products and services, city administrators may analyze citizens’ opinions to enhance the life quality of the city, advertisers can improve the effectiveness of their messages by analyzing what people think of a brand. The use of OSMD to get insights about people and society is not trivial and covers many different disciplines, like computer science, social engineering, psychology, semiotics, and economics. Topics: The workshop is seeking recent advances, novel proposals, best-practices, pitfalls and case studies in Social Media Sensing from different and inter-disciplinary points of view. In particular, topics of interest include, but are not limited to: Accessibility of social media contents Advances in Social Media Big Data Analysis for OSMD Business Intelligence using OSMD Chatbots and ChatScript Cloud Computing Data Mining and Machine Learning for OSMD Decision-making models and OSMD Economics and Social effects Emotion recognition and description Event forecasting based on OSMD data Fake news detection Games and Social Media Health care services and applications Image Analysis IoT sensing with human-in-the-loop Lexicon Design Prediction Analysis Privacy and Security in OSMD Recommendation systems for OSMD Reputation and Trust Semantic Web Sentiment Analysis Smart City Society Sensing Social Graph Analysis Social Media Trust Text Analytics Ubiquitous and pervasive crowd-sensing Video Analysis GENERAL CHAIRS: Marco Furini, University of Modena and Reggio Emilia, Italy Silvia Mirri, University of Bologna, Italy

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CFP: IEEE Transactions on Industrial Informatics Special Section on "Security and Privacy in Industry 4.0"
by Guest Editor 01 Apr '19

01 Apr '19

*** Apologies for multiple copies *** ================================================================================ C a l l F o r P a p e r s IEEE TRANSACTION ON INDUSTRIAL INFORMATICS Special Section: Security and Privacy in Industry 4.0 URL: ================================================================================ Industries, governments and scientific communities are increasingly drawing a special attention to competitive advantages that Industry 4.0 can bring about business sustainability and economy of a country. The tendency to couple the Information Technologies (ITs) with the existing Operational Technologies (OTs) adds new opportunities to improve and optimize operational processes, products and services in which multiple stakeholders [4], among them, end-users, can interact with the new industrial ecosystems to speed up and customize processes. In this sense, Industry 4.0 constitutes a relevant investment source composed of a complex technological showcase in which multiple connections and accesses can arise, seriously impacting on the well performance of the different production and distribution chains associated with smart factories and manufacturing, smart grid systems, smart vehicles or smart health environments. This way of connecting entities with the “smart world” and the interconnection of different Industry 4.0 domains based on the new paradigms and heterogeneous technologies such as Cyber-Physical Systems (CPS), Industrial Internet of Things (IIoT) or edge computing infrastructures (cloud/fog computing systems), certainly, opens the door to coexistence problems and novel exploitations. Diverse vulnerabilities and risks may significantly grow according to the new adaptations and the participation of stakeholders, generating a need to further research protection issues required to safeguard the operational processes and ensure a secure and resilient and dependable cohesion between IT and OT systems, including physical entities. For this reason, industries, governments and scientific communities are increasingly drawing a special attention to competitive advantages that Industry 4.0 can bring about business sustainability and economy of a country. The tendency to couple the ITs with the existing Operational Technologies (OTs) adds new opportunities to improve and optimize operational processes, products and services in which multiple stakeholders [4], among them, end-users, can interact with the new industrial ecosystems to speed up and customize processes. In this sense, Industry 4.0 constitutes a relevant investment source composed of a complex technological showcase in which multiple connections and accesses can arise, seriously impacting on the well performance of the different production and distribution chains associated with smart factories and manufacturing, smart grid systems, smart vehicles or smart health environments. The aim of this special issue is therefore to bring together researchers from diverse interdisciplinary areas of computing and security to cover, from a holistic point of view, the topics related to secure coupling of the new ITs with operational networks, without discarding aspects on privacy. This special section will focus on (but not limited to) the following topics: • Security and privacy analysis and requirements in Industry 4.0 • Secure management and governance of Industry 4.0 operational services and systems • Vulnerabilities and risk assessment in manufacturing and automation systems • Advanced threat models, cyber-crime or cyber-espionage for Industry 4.0 • Dependable and secure Industry 4.0 architectures by design • Lightweight cryptography and key management in Industry 4.0 • Identity management and access control for Industry 4.0 domains • Secure interoperability, mobility and coexistence between systems, including users • Prevention, awareness and resilience models for Industry 4.0 advanced threats • Secure context management and accountability for Industry 4.0 domains • Data preservation and privacy models for Industry 4.0 • Trust management and trusted computing models for Industry 4.0. • Secure cloud/fog-assisted manufacturing and predictive maintenance services ---------------- Important Dates ---------------- * Deadline for manuscript submissions June 30, 2019 * Expected publication date (tentative) November 2019 ---------------------------- Paper Submission Guidelines ---------------------------- Follow the guidelines in “Information for Authors” in the IEEE Transaction on Industrial Informatics http://www.ieee-ies.org/pubs/transactions-on-industrial-informatics . Please submit your manuscript in electronic form through Manuscript Central web site: https://mc.manuscriptcentral.com/tii . On the submitting page #1 in popup menu of manuscript type, select: SS on Security and Privacy in Industry 4.0 Submissions to this Special Section must represent original material that has been neither submitted to, nor published in, any other journal. Regular manuscript length is 8 pages. Note: The recommended papers for the section are subject to final approval by the Editor-in-Chief. Some papers may be published outside the special section, at the EIC discretion. -------------- Guest Editors -------------- • Prof. Cristina Alcaraz, University of Malaga, Spain alcaraz(a)lcc.uma.es • Prof. Yan Zhang, University of Oslo, Norway yanzhang(a)ieee.org • Prof. Alvaro Cardenas, University of Texas , USA Alvaro.Cardenas(a)utdallas.edu • Prof. Liehuang Zhu, Beijing University of Technology, China liehuangz(a)bit.edu.cn

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IEEE International Conference on High Performance Computing, Data, and Analytics - Call for Workshop Proposals
by Sanmukh Kuppannagari 31 Mar '19

31 Mar '19

********************************************************************** We apologize if you received multiple copies of this Call Please feel free to distribute it to those who might be interested ********************************************************************** Call for Workshop Proposals for HiPC 2019 ********************************************************************** 26th IEEE International Conference on High Performance Computing, Data, and Analytics December 17-20, 2019, Hyderabad, India https://hipc.org/ HiPC 2019 Call for Workshop Proposals The 26th annual IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2019) will be held in Hyderabad, India, December 17-20, 2019. Complementing the main technical program, HiPC workshops serve to broaden the technical scope of the conference in emerging areas of high performance computing, networking, data analytics, and their applications. Held on the first day of the conference, HiPC workshops will typically be half-day events although proposals for full-day workshops will also be considered. The papers accepted for presentation at the HiPC 2019 workshops will be included in the workshops volume of the conference proceedings with a separate ISBN (HiPCW 2019), and will be distributed online. Post-conference, papers presented at the conference and eligible for inclusion will be made available to the IEEE Xplore Digital Library. Deadlines and Important Dates * Workshop proposal submissions: April 8, 2019 * Workshop proposal notifications: April 30, 2019 * Workshop Website and CFP: May 15, 2019 Workshop organizers should further note the deadlines for their workshop organization to coordinate the proceedings of the main conference: * Notification of Workshop papers accepted October 14th, 2019 * Workshop Camera ready October 28th, 2019 * Final submission of workshop program and materials and full workshop websites online: November 7, 2019 * Workshop date: December 17, 2019 WHAT/WHERE TO SUBMIT Potential HiPC workshop organizers should submit a workshop proposal that contains the items listed below. The proposal should also specify steps to be taken to develop a high quality program committee and attract high quality submissions to place the workshop(s) in a competitive international landscape. Workshops will be held on the first day of the conference, i.e., December 17th. Workshops may be proposed as a half day program, running for 3 hours in the morning or afternoon, or as a full day program. In case of the latter, organizers should explain how they will attract sufficient participation to develop a full day program of peer reviewed papers. Proposals to organize a workshop at HiPC 2019 should include: * Description: title; topics to be addressed; goals; relevance and significance to the main conference. * Names, affiliations and contact information for organizers. * Plans for soliciting submissions, and the process for selecting papers to be presented at the workshop and included in the workshop proceedings. * Tentative names of Keynote/ invited speakers * Tentative PROGRAM outline identifying key elements such as panels, discussion sessions, poster sessions, invited talks, etc. * Tentative list of PC members to be recruited * Detailed timeline of the peer-review process Workshop Themes ==================== The topics of the proposed workshop should complement those listed in the main conference call for papers.Each workshop should be centered around a coherent theme or topic related to HPC and/or scalable data science; We particularly encourage workshop themes that relate to emerging areas and/or emerging application contexts of societal value (e.g., agriculture, energy, sustainability, workforce development). Workshop proposals will need to clearly state the purpose and the applications of the techniques in the abstract. Workshop proposers will also need to clearly identify how they are going to attract papers and speakers. The proposal should not exceed three pages and should be submitted as a pdf file to the HiPC Workshops Chairs at workshops(a)hipc.org . For additional information about organizing an HiPC workshop, see the FAQs sheet on the website. WORKSHOP CO-CHAIRS Vandana Janeja, University of Maryland, Baltimore County and Antonino Tumeo Pacific Northwest National Laboratory

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[CFP] 4th IEEE International Conference on Rebooting Computing
by Tumeo, Antonino 28 Mar '19

28 Mar '19

[Apologies if you receive multiple copies of this CFP] NEWS: Submission information added and submission site available. Call for Papers 4th IEEE International Conference on Rebooting Computing Part of IEEE Rebooting Computing Week 6-8 November 2019 San Mateo, California http://icrc.ieee.org/ http://icrc.ieee.org/cfp/ The 4th IEEE International Conference on Rebooting Computing (ICRC 2019) will be held November 6-8 in the San Francisco Bay Area, California. ICRC is a premier venue for novel computing approaches. ICRC grew out of the IEEE Rebooting Computing Initiative (RCI), which was founded in 2012 to catalyze rethinking of the computer at all levels of the technology stack. The Rebooting Computing Committee represents thirteen IEEE Societies and Councils, and the membership in the Rebooting Computing Technical Community is approaching three thousand. For more information on the RCI please visit the Rebooting Computing Portal (http://rebootingcomputing.ieee.org). Now in its 4th year, the IEEE International Conference on Rebooting Computing is the premier venue for forward looking computing, including algorithms and languages, system software, system and network architectures, new devices and circuits, and applications of new materials and physics. This is an interdisciplinary conference that has participation from a broad technical community, with emphasis on all aspects of the computing stack. The broad scope of ICRC extends to many areas of interest, including novel device physics and materials for post-Moore, beyond CMOS, and non-von Neumann computing paradigms. ——————————————— Topics of interest ——————————————— *Future computing approaches, including neuromorphic, brain-inspired computing, approximate and probabilistic, analog computing; computing based on novel device physics and materials (e.g., spin-based electronics, nonlinear dynamics and chaos); energy-efficient computing including reversible, adiabatic, and ballistic computing, superconductor and cryogenic computing; quantum computing; optical computing; biological and biochemical computing; Non-von Neumann computer architectures (e.g., in-memory processing, memory-based computing, cellular automata, or cellular neural networks). *Future computing design aspects, including extending Moore’s law and augmenting CMOS; error-tolerant logic and circuits; future of design automation. post-CMOS, 3D, heterogeneous integration and packaging; future impact on performance, power, scalability, reliability, supportability *Future Software and Applications, including beyond von Neumann system software issues (operating systems, compilers, security, and resource management); future computing programming paradigms and languages; applications suitable for and driving next generation computing (e.g., machine learning, deep learning.) *Future computing use cases and prototypes, including ethics in design, implementation, and use; new technologies impacting the International Roadmap for Devices and Systems (IRDS); cybersecurity in future computing systems. ——————————————— Organizing Committee ——————————————— General co-Chairs: Cullen Bash (Hewlett Packard Enterprise) and Vivek Sarkar (Georgia Institute of Technology) Program co-Chairs: Jim Ang (PNNL) and Paolo Faraboschi (Hewlett Packard Enterprise) Full committee list: http://icrc.ieee.org/committee ——————————————— Submission information ——————————————— Authors’ guidelines: http://icrc.ieee.org/authors-guidelines Paper submission link: icrc19.labs.hpe.com/icrc19 ——————————————— Important dates ——————————————— *Paper abstract submissions due: April 29, 2019 (11:00 pm EDT) *Paper submissions due: May 6, 2019 (11:00 pm EDT) *Author notification of acceptance: August 7, 2019 *Final copies of papers due: September 6, 2019

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Bench'19 (http://www.benchcouncil.org/Bench19/index.html) Call for Papers
by gaowanling＠ict.ac.cn 28 Mar '19

28 Mar '19

---Apologies if you receive multiple copies of this CFP--- Bench'19 (2019 International Symposium on Benchmarking, Measuring and Optimizing) Call for Papers Web: http://www.benchcouncil.org/Bench19/index.html November 14-16, 2019, Denver, Colorado, USA Introduction Benchmarking, measuring, and optimizing are fundamental activities in human being’s lives. Starting as nine BPOE Workshop series and SDBA Workshop in conjunction with ASPLOS, VLDB, and ICS, this symposium (Bench 19) is organized by International Open Benchmarking Council (BenchCouncil), and the main theme is benchmarking, measuring, and optimizing Big Data or AI in HPC, Datacenter, IoT, and Edge Computing. Bench 19 provides a high-quality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmark community as a whole. Also, we will invite speakers from China, US, Europe and Japan on HPC AI topics. Bench 19 has three special events: HPC AI benchmark suite and first HPC AI benchmarking report, Big Data and AI challenges, and BenchCouncil awards. Call for papers We solicit papers describing original and previously unpublished research. Specific topics of interest include, but are not limited to the following. **Benchmark, measurement, and optimization of: **Benchmark specifications and open-source implementation reports of: ** Methodologies, abstractions, metrics, algorithms, and tools in benchmark, measurement, and optimization for: ** Benchmark-driven domain-specific co-design of: ** Testbed methodologies and systems of: ** Workload characterization of: -Big Data -AI -HPC -Machine learning in HPC -Big scientific data -Datacenter -Cloud -Warehouse-scale computing -Mobile robotics -Edge and fog computing -IoT Paper Submission: Papers must be submitted in PDF. Short papers (no more than 4 pages in standard two-column IEEE conference format or 6 pages in LNCS format, not including references) are encouraged, and the authors can extend their short paper to 12 pages in LNCS format, not including references, in the final publication. If a full paper is submitted, the page limit is 8 pages in standard two-column IEEE conference format or 12 pages in LNCS format, not including references. The submissions will be judged based on the merit of the ideas rather than the length. After the conference, revised papers will be published by Springer (Pending). Submission site: https://easychair.org/conferences/?conf=bench19 Improtant Dates Registration of abstract June 15, 2019 Paper Submission June 30, 2019 Acceptance Notification Aug 20, 2019 Organization General Chairs Dan Stanzione (Texas Advanced Computing Center, The University of Texas at Austin) Xiaoyi Lu (The Ohio State University) TPC Chairs Jianfeng Zhan (ICT, Chinese Academy of Sciences, and University of Chinese Academy of Sciences) Publications Chair Chen Zheng (Institute of Computing Technology, CAS) Award Committees D. K. Panda (The Ohio State University) Jianfeng Zhan (ICT, Chinese Academy of Sciences, and University of Chinese Academy of Sciences) BenchCouncil Achievement Award This award recognizes a senior member who has made long-term contributions to benchmarking, measuring, and optimizing. The winner is eligible for BenchCouncil Fellow. BenchCouncil System Award This award recognizes a group of scientists and engineers who has made significant contributions to the design, implementation of a state-of-the-art or state-of-the-practice system. BenchCouncil Contribution Award Chair This award recognizes a senior member who has made long-term contributions to the benchmarking, measuring, and optimizing community. BenchCouncil best paper award Chair This award recognizes a paper presented at the Bench conferences, which demonstrates potential impact on research and practice in benchmarking, measuring, and optimizing. Publicity Chairs Zhen Jia (Princeton University) Wanling Gao (Institute of Computing Technology, CAS) Web Chair Jiahui Dai (Beijing Academy of Frontier Sciences and Technology)

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CfP: EUSIPCO 2019 Satellite Workshop on Signal Processing, Computer Vision and Deep Learning for Autonomous Systems
by Nikos Nikolaidis 27 Mar '19

27 Mar '19

EUSIPCO 2019 SATELLITE WORKSHOP ON SIGNAL PROCESSING, COMPUTER VISION AND DEEP LEARNING FOR AUTONOMOUS SYSTEMS A CORUNA, SPAIN, SEPTEMBER 6th 2019 CALL FOR PAPERS WORKSHOP SUMMARY During the last years we are witnessing a constantly increasing use and interest for Autonomous Systems (AS) such as UAVs, humanoid robots, cars, marine and underwater vessels, etc. This is due to their numerous applications in transport, surveillance, mapping, manufacturing, healthcare, agriculture, infrastructure inspection, cinematography etc. Successful deployment of autonomous systems involves tackling a number of interesting and challenging topics such as AS localization, planning, action and mapping, analysis of visual data coming from AS sensors for human centric or environment active perception and cognition, privacy protection technologies in AS data, 3D data (e.g. LIDAR) processing and analysis, communication issues for AS, sensor fusion, multimodal interfaces etc. These tasks can be addressed by using several methodologies from the areas of signal/image/video processing and analysis, computer vision and machine learning (including deep learning) provided that they respect several constraints and limitations inherent to AS, such as real-time operation, limited available computing resources on board the AS, need for robustness in real-life scenarios etc. The aim of this workshop is to bring together researchers, engineers and computer scientists working in the areas of signal/image/video processing and analysis, computer vision, and machine learning for AS to present and discuss recent developments and trends in this exciting area. The workshop will consist of 2-3 invited talks by prominent researchers and oral presentations featuring research papers. The workshop is technically sponsored by the H2020 Project MULTIDRONE (www.multidrone.eu). PAPER TOPICS Papers describing novel work are solicited in the following areas (non-exhaustive list): * Signal/image/video processing and analysis for autonomous systems * Machine learning for autonomous systems * Deep learning for autonomous systems * Computer vision for autonomous systems * Human centric active perception and cognition for autonomous systems (person/face/body part detection/recognition and pose estimation, person/face/body part tracking, human activity recognition, social signal -facial expressions, gestures etc- analysis and recognition, speech and biosignals analysis and recognition) * Environment active perception and cognition for autonomous systems (object detection/recognition and semantic scene segmentation and understanding, 2D/3D object tracking, 3D scene reconstruction, sensor information fusion) * Autonomous systems localization, planning, navigation, action and control * Embedded computing approaches for processing (computer vision, deep learning, etc) on autonomous systems * Intelligent cinematography using drones and other autonomous systems * Signal processing, computer vision and deep learning for autonomous systems safety (obstacle detection and avoidance, drone landing site detection, crowd and pedestrian detection and localization, road sign/lane detection/recognition etc) * Privacy protection and compliance to ethics regulations * Robust and secure mobile communications for autonomous systems * Signal enhancement, compression and transmission for autonomous systems IMPORTANT DATES * Full Paper Submission: April 30, 2019 * Notification of Paper Acceptance: May 24, 2019 * Camera Ready Papers: June 7, 2019 * Workshop: September 6, 2019 SUBMISSION AND REVIEW PROCEDURE Prospective authors shall submit their papers using EDAS (https://edas.info/newPaper.php?c=24822 ). Papers should adhere to the main conference guidelines to be considered and, eventually, be published in the proceedings. For more details please visit http://eusipco2019.org/paper-submission/ . All papers will go through a peer review process. Workshop proceedings will be handled by EURASIP and will be publicly available through the repository of EURASIP. WORKSHOP ORGANIZERS * Nikos Nikolaidis, Aristotle University of Thessaloniki, Greece, nnik(a)csd.auth.gr * Anastasios Tefas, Aristotle University of Thessaloniki, Greece, tefas(a)csd.auth.gr WORKSHOP TECHNICAL PROGRAM COMMITTEE * Anibal Ollero, University of Seville, Spain * Ioannis Pitas, Aristotle University of Thessaloniki, Greece * David Bull, University of Bristol, UK * Alberto Messina, RAI, Italy * Joao Costeira, IST, Portugal * Jesus Capitan, University of Seville, Spain * Rita Cunha, IST, Portugal INFORMATION * EUSIPCO 2019 website: http://eusipco2019.org/ * Workshop information: http://eusipco2019.org/programme/satellite-workshops/ * For additional information regarding the workshop please contact one of the workshop organizers Nikos Nikolaidis (nnik(a)csd.auth.gr) and Anastasios Tefas, (tefas(a)csd.auth.gr)

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CFP: The 24th European Symposium on Research in Computer Security (ESORICS 2019)
by Publicity Chair ESORICS 2019 26 Mar '19

26 Mar '19

================================================================================ *** Apologies for multiple copies *** C a l l F o r P a p e r s Twenty-fourth European Symposium on Research in Computer Security (ESORICS 2019) Luxembourg -- September 23-27, 2019 WWW: https://esorics2019.uni.lu ================================================================================ Overview --------- ESORICS is the annual European research event in Computer Security. The Symposium started in 1990 and has been held in several European countries, attracting a wide international audience from both the academic and industrial communities. Papers offering novel research contributions in computer security are solicited for submission to the 2019 Symposium, to be held in Luxembourg. The primary focus is on original, high quality, unpublished research and implementation experiences. We encourage submissions of papers discussing industrial research and development. Important Dates ---------------- * Title and Abstract deadline: April 22, 2019 (11:59 p.m. American Samoa time, UTC-11) * Paper submission deadline: April 29, 2019 (11:59 p.m. American Samoa time, UTC-11) * Notification to authors: June 21, 2019 * Camera ready due: July 9, 2019 Topics of Interest ------------------- Topics of interest include, but are not limited to: * access control * accountability * ad hoc networks * anonymity * applied cryptography * authentication * biometrics * blockchain and finance security * data and computation integrity * database security * data protection * deep learning for attack and defense * digital content protection * digital forensics * distributed systems security * embedded systems security * inference control * information hiding * identity management * information flow control * information security governance and management * intrusion detection * formal security methods * language-based security * network security * phishing and spam prevention * privacy * privacy preserving data mining * risk analysis and management * secure electronic voting * security architectures * security economics * security metrics * security models * security and privacy for big data * security and privacy in cloud scenarios * security and privacy in complex systems * security and privacy in content centric networking * security and privacy in crowdsourcing * security and privacy in the IoT * security and privacy in location services * security and privacy for mobile code * security and privacy in pervasive / ubiquitous computing * security and privacy policies * security and privacy in social networks * security and privacy in web services * security and privacy in cyber-physical systems * security, privacy and resilience in critical infrastructures * security verification * software security * systems security * trust models and management * trustworthy user devices * usable security and privacy * web security * wireless security Paper Submission Guidelines ---------------------------- Submissions must be made through EasyChair at: https://easychair.org/conferences/?conf=esorics19 Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference/workshop with proceedings. The symposium proceedings will be published by Springer in the Lecture Notes in Computer Science series (LNCS). All submissions should follow the LNCS template ( available from http://www.springer.de/comp/lncs/authors.html ) from the time they are submitted. Submitted papers should be at most 16 pages (using 10-point font), excluding the bibliography and well-marked appendices, and at most 20 pages total. Committee members are not required to read the appendices, so the paper should be intelligible without them. All submissions must be written in English. Submissions are to be made to the submission web site. Only pdf files will be accepted. Submissions not meeting these guidelines risk rejection without consideration of their merits. Authors of accepted papers must agree with Springer LNCS copyright and guarantee that their papers will be presented at the conference. Papers must be received by the aforementioned dates, 11:59 p.m. American Samoa time (UTC-11). Organisation Committee ----------------------- General Chair: * Peter Y A Ryan, University of Luxembourg, Luxembourg Organization Chair: * Peter B Roenne, University of Luxembourg, Luxembourg Workshop Chair: * Joaquin Garcia-Alfaro,Telecom SudParis, France Program Committee Chairs: * Kazue Sako, NEC Japan * Steve Schneider, University of Surrey, UK Program Committee: Cristina Alcaraz, University of Malaga, Spain Elli Androulaki, IBM, Switzerland Frederik Armknecht, University of Mannheim, Germany Vijay Atluri, Rutgers University, USA Marina Blanton, University of Notre Dame, USA Carlo Blundo, Universita` degli Studi di Salerno, Italy Christian Cachin, University of Bern, Switzerland Alvaro Cardenas, University of Texas at Dallas, USA Aldar Chan, University of Hong Kong, HK Yan Chen, Northwestern University, USA Sherman S. M. Chow, Chinese University of Hong Kong, HK Mauro Conti, University of Padua, Italy Jorge Cuellar, Siemens A.G., Germany Frederic Cuppens, TELECOM Bretagne, France Nora Cuppens-Boulahia, TELECOM Bretagne, France Marc Dacier, EURECOM, France Sabrina De Capitani di Vimercati, Università degli studi di Milano, Italy Hervé Debar, Télécom SudParis, France Stéphanie Delaune, IRISA, France Roberto Di Pietro, Hamad Bin Khalifa University (HBKU), Qatar Josep Domingo-Ferrer, University Rovira-Virgili, Spain Haixin Duan, Tsinghua University, China Francois Dupressoir, University of Surrey, UK Jose Fernandez, Polytechnique Montreal, Canada Jose-Luis Ferrer-Gomila, UIB, Spain Simone Fischer-Hübner, Karlstad University, Sweden Simon Foley, IMT Atlantique, France Sara Foresti, Università degli studi di Milano, Italy David Galindo, University of Birmingham, UK Debin Gao, SMU, Singapore Dieter Gollmann, Hamburg University of Technology, Germany Stefanos Gritzalis, University of the Aegean, Greece Guofei Gu, Texas A&M University, USA Juan Hernandez, UPC, Spain Xinyi Huang, Fujian Normal University, China Ghassan Karame, NEC Labs Europe, Germany Vasilios Katos, Bournemouth University, UK Sokratis Katsikas, NTNU, Norway Stefan Katzenbeisser TU Darmstadt, Germany Steve Kremer, INRIA Nancy-Grand Est, France Marina Krotofil, FireEye, USA Costas Lambrinoudakis, University of Piraeus, Greece Yingjiu Li, SMU, Singapore Kaitai Liang, University of Surrey, UK Hoon Wei Lim, SingTel, Singapore Joseph Liu, Monash University, Australia Peng Liu, Pennsylvania State University, USA Xiapu Luo, Hong Kong Polytechnic University, HK Konstantinos Markantonakis, RHUL, UK Fabio Martinelli, IIT-CNR, Italy Ivan Martinovic, University of Oxford, UK Sjouke Mauw, University of Luxembourg, Luxembourg Catherine Meadows, Naval Research Laboratory, USA Weizhi Meng, DTU, Denmark Chris Mitchell, RHUL, UK John C. Mitchell, Stanford University, USA Tatsuya Mori, Waseda University, Japan Haris Mouratidis, University of Brighton, UK David Naccache, Ecole Normale Suprieure, France Satoshi Obana, Hosei University, Japan Martin Ochoa, SUTD, Singapore Rolf Oppliger, eSECURITY Technologies, Switzerland Andrew Paverd, Microsoft Research Cambridge, UK Olivier Pereira, UCL, Belgium Günther Pernul, Universität Regensburg, Germany Christina Popper, New York University, US Joachim Posegga, University of Passau, Germany Bart Preneel, Katholieke Universiteit Leuven, Belgium Indrajiti Ray, Colorado State University, USA Giovanni Russello, University of Auckland, New Zealand Mark Ryan, University of Birmingham, UK Rei Safavi-Naini, University of Calgary, Canada Kazue Sako, NEC, Japan Pierangela Samarati, Universitá degli studi di Milano, Italy Damien Sauveron, XLIM, France Steve Schneider, University of Surrey, UK Einar Snekkenes, Gjovik University College, Norway Pawel Szalachowski, SUTD, Singapore Willy Susilo, University of Wollongong, Australia Qiang Tang, LIST, Luxembourg Juan Tapiador, Universidad Carlos III de Madrid, Spain Nils Ole Tippenhauer, SUTD, Singapore Helen Treharne, University of Surrey, UK Aggeliki Tsohou, Ionian University, Greece Jaideep Vaidya, Rutgers University, USA Luca Viganò, King’s College London, UK Michael Waidner, Fraunhofer SIT, Germany Cong Wang, City University of Hong Kong, HK Lingyu Wang, Concordia University, Canada Edgar Weippl, SBA Research, Austria Christos Xenakis, University of Piraeus, Greece Zhe Xia, Wuhan University of Technology, China Kehuan Zhang, Chinese University of Hong Kong, HK Sencun Zhu, Pennsylvania State University, USA

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[SMARTCOMP 2019] - PhD Forum - Call for submissions
by Francesca Righetti 26 Mar '19

26 Mar '19

The Ph.D. Forum at SMARTCOMP 2019 provides an opportunity for Ph.D. students to present their work in progress to the scientific community and obtain individual feedback from leading researchers in the field. This forum is intended to provide doctoral students with a platform to interact with established researchers from both academia and industry and get useful guidance on the broader impacts of their research. The Forum will be structured as a poster presentation session by the students, followed by collective discussions. The student presentations will be interleaved with speeches by leading researchers, who will provide their own perspectives on current and future research in the field, as well as on how to best pursue a Ph.D. in this context. Current Ph.D. students at any stage of their career are encouraged to submit a 2-page extended abstract about their research to be considered for the Ph.D. Forum. The student should be the sole author, although contributions of the advisor and others should be acknowledged. Submissions will be reviewed by the Ph.D. Forum committee to ensure quality, relevance, and potential benefit from attendance to the Forum. There will be no separate registration fee for the Forum. Participating students will only need to register to the main SMARTCOMP conference. Authors of accepted submissions are expected to participate in person to the Forum. Conference website: http://www.smart-comp.org <http://www.smart-comp.org/> Conference dates: June 12th-14th, 2019 Call for presentations at the Ph.D. forum: http://www.smart-comp.org/call-for-phd-forum.html <http://www.smart-comp.org/call-for-phd-forum.html> Ph.D. forum submission deadline: April 20th, 2019

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IEEE IEEE International Conference on High Performance Computing, Data, and Analytics 2019 Call for Papers
by Sanmukh Rao 26 Mar '19

26 Mar '19

********************************************************************** We apologize if you received multiple copies of this Call for Papers Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2019 CALL FOR PAPERS ********************************************************************** 26th IEEE International Conference on High Performance Computing, Data, and Analytics December 17-20, 2019, Hyderabad, India https://hipc.org/ PROGRAM CHAIRS Ananth Kalyanaraman, Washington State University, USA George Karypis, University of Minnesota, USA PROGRAM VICE-CHAIRS HPC Tracks: Algorithms: Bora Uçar, CNRS and École normale supérieure de Lyon, France Applications: Alba Cristina M.A. de Melo, University of Brasilia, Brazil Architecture: Smruti Ranjan Sarangi, Indian Institute of Technology Delhi, India System Software: Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA Data Science Tracks: Scalable Algorithms and Analytics: Srinivasan Parthasarathy, Ohio State University, USA Scalable Systems and Software: Gagan Agrawal, Ohio State University, USA HiPC 2019 Call For Papers HiPC 2019 will be the 26th edition of the IEEE International Conference on High Performance Computing, Data, Analytics and Data Science. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional areas and emerging topics including from machine learning, big data analytics and blockchain. Each submission should be submitted to one of the tracks listed under the two broad themes of High Performance Computing and Data Science. High Performance Computing tracks: Algorithms: This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Advances in enhancing algorithmic properties or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); * Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models); * Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); and * Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management); Architectures: This track invites papers that describe original research on the design and evaluation of high performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): * Design and evaluation of high performance processing architectures (e.g., reconfigurable, system-on-chip, manycores, vector processors); * Design and evaluation of networks for high performance computing platforms (e.g., interconnect topologies, network-on-chip); * Design and evaluation of memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); * Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); and * Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications: This track invites papers that describe original research on the design and implementation of scalable applications for execution on parallel and distributed platforms, and related advances. Examples of topics of interest include (but not limited to): * Design and implementation of shared and distributed memory parallel applications (e.g., scientific computing and industry applications, emerging applications in IoT and life sciences - biology, medicine, chemistry, etc.); * Design and simulation methodologies for scaling applications on peta- and exascale platforms (e.g., co-design approaches, hardware/software co-design, heterogeneous and hybrid programming); * Hardware acceleration of parallel applications (e.g., CPU/GPUs, multi-GPU clusters, FPGA, vector processors, manycore); and * Design of application benchmarks for parallel and distributed platforms. Systems Software: This track invites papers that describe original research on the design, implementation and evaluation of systems software for high performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): * Scalable systems and software architectures for high performance computing (e.g., middleware, operating systems, I/O services); * Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); * Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); * Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; * Software for cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); and * Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms); Data Science tracks: Scalable Algorithms and Analytics: This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): * New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery); * Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); * Scalable algorithms and techniques to reduce complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); * Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); and * Scalable algorithms that ensure the transparency and fairness of the analysis. Scalable Systems and Software: This track invites papers that describe original research on developing scalable systems and software for handling data at scale, and related advances. Examples of topics of interest include (but not limited to): * Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications) * Design of scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs). * Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); * Design and implementation of systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); and * Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy preserving and secure schemes). One or more best paper awards will be given for outstanding contributed papers. IMPORTANT DATES Abstract Submission: Friday, June 7, 2019 Paper Submission: Friday, June 14, 2019 Reviews for Rebuttals: Monday, July 29, 2019 Rebuttals due: Monday, August 5, 2019 Initial Submission Decision: Monday, August 19, 2019 Revisions Due: Friday, September 20, 2019 Author Notification: Monday, September 30, 2019 Camera Ready: Monday, October 14, 2019 Manuscript Guidelines Submitted manuscripts should be structured as technical papers and may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. See IEEE style templates at this page for details. Electronic submissions must be in the form of a readable PDF file. Manuscripts must be received by the published paper submission deadline. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. Authors are highly encouraged to list the key contributions of their paper. This should be in a separate paragraph in the introduction to the paper. Please note that the review process is “single-blind” (i.e., authors can list their names on the paper). This year we are introducing a two-phase review process, in which the first round of reviews will be made available to the authors for a brief rebuttal. Based on the reviews and the rebuttal, an initial decision will be issued. Papers will be either accepted or rejected or recommended for a second round. Authors of papers recommended for a second round will be allowed to revise the paper to address the comments and suggestions made by the program committee. The revisions will undergo a second round of review before the final notification. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chairs of the respective tracks at their contact email addresses below for further information or clarification. Notification of review decisions will be emailed by September 30, 2019. Camera-ready papers are due by October 14, 2019. A published proceedings will be available at the conference. At least one author of each paper must be registered for the conference in order for the paper to be published in the proceedings. Presentation of an accepted paper at the conference is a requirement of publication. Any paper that is not presented at the conference will not be included in IEEE Xplore. Easychair Submission link: https://easychair.org/conferences/?conf=hipc2019 Journal Special Issue: Authors of selected high quality papers in HiPC 2019 will be invited to submit extended version of their papers for possible publication in a special issue of Journal of Parallel and Distributed Computing. PLEASE NOTE: * Authors must register their paper and submit an abstract, typically a paragraph or two, by June 7, 2019 * Authors must then submit full versions of registered papers by June 14, 2019 * All deadlines are end of day ANYWHERE ON EARTH. * Links to EasyChair submissions: https://easychair.org/conferences/?conf=hipc2019 Contact Information * High Performance Computing tracks: Ananth Kalyanaraman, Washington State University, USA, ananth(a)wsu.edu * Data Science tracks: George Karypis, University of Minnesota, USA, karypis(a)umn.edu ___________________________________________________ HiPC 2019 is co-sponsored by • IEEE Computer Society Technical Committee on Parallel Processing (TCPP) • HiPC Education Trust, India In cooperation with • ACM Special Interest Group on Algorithms and Computation Theory (SIGACT) • ACM Special Interest Group on Computer Architecture (SIGARCH) • FIP Working Group on Concurrent Systems • Manufacturers' Association for Information Technology (MAIT) • National Association of Software and Service Companies (NASSCOM)

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MACIS 2019, November 13-15, 2019, Istanbul-Gebze, Turkey
by Ilias Kotsireas 26 Mar '19

26 Mar '19

Forwarded on behalf of Zafeirakis Zafeirakopoulos <zafeirakopoulos(a)gtu.edu.tr> ********************************************************** MACIS 2019 8th International Conference on Mathematical Aspects of Computer and Information Sciences November 13-15, 2019 Istanbul-Gebze, Turkey. http://macis2019.gtu.edu.tr/ ********************************************************** MACIS is a series of biennial conferences focusing on research in mathematical and computational aspects of computing and information science. MACIS 2019 will feature invited presentations and a selective four-track program of contributed papers describing original and unpublished research. ==== MACIS 2019 Organization ==== General Chair: Zafeirakis Zafeirakopoulos, Gebze Technical University, Turkey PC Chairs: Daniel Slamanig, AIT Austrian Institute of Technology, Austria Elias Tsigaridas, INRIA/SU, France MACIS Steering Committee: Johannes Bloemer, Paderborn University, Germany Ilias Kotsireas, Wilfrid Laurier University, Canada Temur Kutsia, RISC, Johannes Kepler University, Austria Siegfried Rump, Hamburg University of Technology, Germany Dimitris E. Simos (Chair), SBA Research, Austria Chee Yap, New York University, USA ==== MACIS 2019 Topics ==== MACIS authors are required to choose one of the following tracks: - Algorithms and Foundations - Security/Cryptography - Combinatorics/Codes/Designs/Graphs - Data Modeling/Machine Learning ==== MACIS 2019 in social media ==== - https://twitter.com/macis2019 - https://www.facebook.com/macis2019 For general inquiries regarding MACIS 2019, please send an e-mail to Zafeirakis Zafeirakopoulos <zafeirakopoulos(a)gtu.edu.tr>

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CFP: The Int. Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML 2019)
by Deep ML 25 Mar '19

25 Mar '19

----------------------- Call for Papers ----------------------------- The International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML 2019) 26-28 August 2019, Istanbul, Turkey http://www.ficloud.org/deep-ml-2019/ ----------------------------------------------------------------------------- Deep learning and machine learning are the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionize industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, security, manufacturing, education, games, and various other industrial applications. Google, for example, exploits the techniques of deep learning in voice and image recognition applications, while Amazon uses such techniques in helping customers in their online purchase decisions. The International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML) provides a leading forum for researchers, developers, practitioners, and professional from public sectors and industries in order to meet and share latest solutions and ideas in solving cutting edge problems in modern information society and economy. The conference comprises a set of tracks that focus on specific challenges in deep learning and machine learning and their applications in emerging areas. Topics of interest include, but are not limited to, the following: 1) Deep and Machine Learning Models and Techniques: Novel machine and deep learning Active learning; Incremental learning and online learning Agent-based learning; Manifold learning Multi-task learning Bayesian networks and applications Case-based reasoning methods Statistical models and learning Computational learning; Evolutionary algorithms and learning Evolutionary neural networks Fuzzy logic-based learning Genetic optimization Clustering, classification and regression Neural network models and learning Parallel and distributed learning Reinforcement learning Supervised, semi-supervised and unsupervised learning Tensor Learning 2) Deep and Machine Learning for Big Data Analytics: Deep/Machine learning based theoretical and computational models Novel techniques for big data storage and processing Data analysis, insights and hidden pattern Data analysis and decision making Data wrangling, munching and cleaning Data integration and fusion Data visualization Data and information quality, efficiency and scalability Security threat detection using big data analytics Visualizing security threats Enhancing privacy and trust Data analytics in complex applications – finance, business, healthcare, engineering, medicine, law, transportation, and telecommunication 3) Deep and Machine Learning for Data Mining and Knowledge: Data mining in the web and online systems Multimedia; images and video data mining Feature extraction and classification Information retrieval and extraction Distributed and P2P data search Sentiment analysis Mining high velocity data streams Anomaly detection in streaming data Mining social media and social networks Mining sensor and computer networks data Mining spatial and temporal datasets Data classification, clustering, and association Knowledge acquisition and learning Knowledge representation and reasoning Knowledge discovery in large datasets 4) Deep and Machine Learning Application Areas: Bioinformatics and biomedical informatics Finance, business and retail Intelligent transportation Healthcare, medicine and clinical decision support Computer vision Human activity recognition Information retrieval and web search Cybersecurity Natural language processing Recommender systems Social media and networks 5) Deep and Machine Learning for Computing and Network Platforms: Network and communication systems Software defined networks Wireless and sensor networks Internet of Things (IoT) Cloud Computing Edge and Fog Computing Paper Submission: Full papers must be in English and should be between 12 to 14 pages. Short papers should be limited to 8 pages. Papers must be formatted in Springer's LNCS format. Submitted research papers may not overlap with papers that have already been published or that are simultaneously submitted to a journal or a conference with proceedings. ORGANISING COMMITTEE General Co-Chairs: Joao Gama, University of Porto, Portugal Edwin Lughofer, Johannes Kepler University Linz, Austria Program Co-Chairs: Irfan Awan, University of Bradford, UK Hadi Larijani, Glasgow Caledonian University, UK Local Organising Co-Chairs: Perin Ünal, Teknopar, Turkey Sezer Gören, Ugurdag Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Publication Chair: Muhammad Younas, Oxford Brookes University, UK Journal Special Issue Coordinator: Lin Guan, Loughborough University, UK Workshop Coordinator: Filipe Portela, University of Minho, Portugal Publicity Chair: Esra N. Yolaçan, Osman Gazi University, Turkey ReplyForward

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CFP: 5th Int. Conference on Big Data Innovations and Applications 2019
by Innovate-Data 25 Mar '19

25 Mar '19

------------------------ Call for Papers------------------ The 5th International Conference on Big Data Innovations and Applications (Innovate-Data 2019) 26-28 August 2019, Istanbul, Turkey http://www.ficloud.org/innovate-data-2019/ (Springer: Communications in Computer and Information Science (CCIS)) ----------------------------------------------------------------------------- Big data has become a key asset in modern societies, economies, and governmental organizations. Big data encompasses various kinds of complex and large scale information that are beyond the processing capabilities of conventional software and databases. The increasing volume and velocity of the data, captured by business organizations, web repositories, social media, data centres, cloud and IoT, have resulted in the exponential growth of big data. Big data provides a key basis for innovations in various domains and applications. It can benefit data managers, developers, companies and various kinds of organizations to carry out useful analysis of data pattern and trends, make intelligent decisions, and solve complex problems that can help societies and economies and speed up innovations. The aim of the Innovate-Data conference is to promote the state of the art in scientific and practical research of big data and to bring together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas. CONFERENCE TRACKS: Track: Big Data Storage, Representation and Processing Topics: Data storage; Data representation and structures; Data management; Data processing; Data engineering and design; Storages and network requirements Track: Big Data Security, Privacy and Trust Topics: Data Security; Data Privacy; Data Trust; Data protection and integrity; Legal and ethical issues; Identity theft; Data loss and leakage Track: Big Data Models, Infrastructure and Platforms Topics: Data models; NoSQL databases; Data consistency and availability; Fault tolerance and reliability; Network models and protocols; Performance evaluation; Resource management; Transaction management; RDBMS and big data; Memcached systems and techniques Track: Visualisation of Big Data Topics: Data visualisation, Visual representation; Usability and user interaction; Graphs models and techniques for big data; Data acquisition and cleaning Track: Big Data Analytics and Metrics Topics: Analytics models; Tools and technologies; Data patterns; Business intelligence and decision making; Optimization of resources and cost; Customer relations and satisfaction; Data economics; Metrics for big data; Analysis of online reviews Track: Big Data Science Topics: Big data science models; Data searching and mining; Methodologies and use cases; Machine learning and deep learning; Algorithms and formal models; Mathematical and Statistical models for big data; Interdisciplinary approaches and methods Track: Big Data Applications and Innovations Topics: Business applications; Social media and networks; Healthcare applications; Government and public sector systems; Multimedia and data streaming; Personal data logging and quantified-self; Context-aware data; Big data in cloud and IoT; Personalisation of data; Open and linked data Submission Instructions: Full papers must be in English and must not exceed 12 pages. Short papers should be limited to 8 pages. Papers should be formatted in Springer's LNCS format. See submission instructions on the conference website. Publication: All accepted papers are planned to be included in the conference proceedings published by Springer in the Lecture Notes in Computer Science (LNCS) series. For each accepted paper, at least one author must register for the conference and present the paper. Authors of selected papers will be invited to submit an extended version of their papers for a special issues in international journals (see conference website). Lecture Notes in Computer Science (LNCS) series is indexed by the ISI Conference Proceedings Citation Index - Science (CPCI-S), included in ISI Web of Science, EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, dblp, Google Scholar, Scopus, etc. See LNCS - Information on Abstracting and Indexing ( http://www.springer.com/computer/lncs?SGWID=0-164-6-1068921-0) Authors of selected papers will be invited to submit an extended version of their papers for a special issues in international journals (see Journal Special Issues section). Important Dates: Submission Deadline (Extended): 02 April 2019 Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 General Chair: William Knottenbelt, Imperial Colledge London, UK Program Co-Chairs: Salima Benbernou, Université Paris Descartes, France Muhammad Younas, Oxford Brookes University, UK Local Organising Co-Chairs: Perin Ünal, Teknopar, Turkey Sezer Gören Ugurdag, Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Publication Chair: Irfan Awan, University of Bradford, UK Workshop Coordinator: Filipe Portela, University of Minho, Portugal Publicity Chair: Fang-Fang Chua, Multimedia University, Malaysia Journal Special Issues Coordinator: Lin Guan, Loughborough University, UK

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CFP: The 16th Int. Conference on Mobile Web and Intelligent Information Systems 2019
by MobiWIS Conference 25 Mar '19

25 Mar '19

----------------------- Call for Papers --------------------------- The 16th International Conference on Mobile Web and Intelligent Information Systems (MobiWis 2019) Springer LNCS Series. 26-28 August 2019, Istanbul, Turkey http://www.mobiwis.org/2019/ ----------------------------------------------------------------------------- The areas of the Web, mobile technologies, and information systems have been following a continuous and steady development over a number of years through the innovative research and practices of researchers, developers and practitioners from academia, industry, governmental and scientific organizations. The International Conference on Mobile Web and Intelligent Information Systems (MobiWis) aims to enable synergy between these areas and provides the premier venue to present and discuss latest research and developments related to research issues of the mobile web and the engineering of intelligent and innovative mobile systems and services. The conference comprises a set of carefully selected tracks that focus on the particular challenges regarding mobile Web and intelligent information systems in research areas such as, among others, Web Engineering, Service-Oriented Computing, Web of Things, Data and Knowledge Management, Cloud Computing, Security and Human-Computer Interaction. Conference Tracks: - Smart and Intelligent Systems - Mobile Software Systems - Adaptive Approaches for Mobile Computing - Middleware/SOA for Mobile Systems - Context- and Location-aware Services - Pervasive and Ubiquitous Applications - Data management in the Mobile Web - Mobile Cloud Services - Mobile Web of Things - Mobile Web Security, Trust and Privacy - Mobile Networks, Protocols and Applications - Mobile Commerce and Business Services - Socially Influencing Systems - HCI in Mobile Applications - Industry and Demos Important Dates: Submission Deadline (Extended): * 02 April 2019* Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 Submission Instructions: Full papers must be in English and must not exceed 12 pages. Short papers should be limited to 8 pages. Papers should be formatted in Springer's LNCS format. See submission instructions on the conference website. Publication: All accepted papers will be included in the conference proceedings published by Springer in the Lecture Notes in Computer Science (LNCS) series. For each accepted paper, at least one author must register for the conference and present the paper. Authors of selected papers will be invited to submit an extended version of their papers for a special issues in international journals (see conference website). Lecture Notes in Computer Science (LNCS) series is indexed by the ISI Conference Proceedings Citation Index - Science (CPCI-S), included in ISI Web of Science, EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, dblp, Google Scholar, Scopus, etc. See LNCS - Information on Abstracting and Indexing ( http://www.springer.com/computer/lncs?SGWID=0-164-6-1068921-0) Organizing Committee: General Co-Chairs: Markus Aleksy, ABB, Germany Perin Unal, Teknopar, Turkey Program Co-Chairs: Irfan Awan, University of Bradford, UK Mohammed Ghazal, Abu Dhabi University, UAE Local Organising Co-Chairs: Sezer Gören Ugurdag, Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Publication Chair: Muhammad Younas, Oxford Brookes University, UK Journal Special Issue Coordinator: George Ghina, Brunel University London, UK Workshop Coordinator: Tor-Morten Grønli, Kristiania University College, Norway Publicity Chair: Aneta Poniszewska-Maranda, Lodz University of Technology, Poland

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CFP: 7th Int. Conf. on Future Internet of Things and Cloud (FiCloud 2019)
by FiCloud Conference 25 Mar '19

25 Mar '19

----------------------Call for Papers ------------------------------------------------ The 7th International Conference on Future Internet of Things and Cloud (FiCloud 2019), IEEE CS- TCI 26-28 August 2019, Istanbul, Turkey http://www.ficloud.org/2019/ --------------------------------------------------------------------------------------- The Internet of Things (IoT) vision is to provide a dynamic and global network infrastructure which is characterized by intelligent and self configuring capabilities. IoT is considered as an integral part of the future Internet. It is based on interoperable communication protocols in order to enable the interaction and integration of virtual as well as physical Things such as computers, smart devices, sensors, cars, refrigerators, food packages, medicines, etc. Things can be seamlessly integrated into the information network and interaction can be made through the provision of intelligent interfaces. In not so distant future, IoT will be forcing its way into every aspect of our lives and technologies including smart homes, smart cities, environment and nature, green energy, food, medicine, automotive, aerospace and aviation, telecommunication, and so on. IoT is generally characterized by real world and small Things, limited capacity, constrained devices and the consequential issues such as less reliability, security and privacy. Cloud computing on the other hand deals mainly with virtual world and has unlimited capabilities in terms of storage and processing power. Thus cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner. The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing. CONFERENCE TRACKS: - Cloud Models - SaaS, IaaS, PaaS - Security, Privacy and Trust - Software Systems, Models and Architectures - Mobile Cloud Services - Data and Knowledge Management - Context-awareness and Location-awareness - Software-defined Networking - Performance Evaluation and Modelling - Networking and Communication Protocols - IoT Services and Applications - Smart Environment - Enterprise and Business Models - Energy Efficiency - Federation and Virtualization - Fog and Edge Computing - Industry Track - General Track Paper submission and Publication: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 6 pages. Papers should be prepared using IEEE two-column template. See instructions on the conference website ( http://www.ficloud.org/2019/). All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services. Authors of selected papers will be invited to submit extended versions of their papers for special issues in international journals (see conference website). Important Dates: Submission Deadline (Extended): 02 April 2019 Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 General Chairs: Vincenzo Piuri, University of Milan, Italy Irfan Awan, University of Bradford, UK Program Chairs: Takahiro Hara, Osaka University, Japan Muhammad Younas, Oxford Brookes University, UK Local Organising Chairs: Perin Unal, Teknopar, Turkey Sezer Gören Ugurdag, Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Workshop Coordinator: Filipe Portela, University of Minho, Portugal Journal Special Issues Coordinator: Lin Guan, Loughborough University, UK Publicity Chair: Joyce El Haddad, University of Paris Dauphine, France Publication Chair: Barbara Masucci, University of Salerno, Italy Track Chairs: Antonio Celesti, University of Messina, Italy Edmundo Madeira, University of Campinas, Brazil Helen Karatza, Aristotle University of Thessaloniki, Greece Joyce El Haddad, University of Paris Dauphine, France Khaled Aloufe, Taibah University, Saudi Arabia Luiz Fernando Bittencourt, University of Campinas, Brazil Madihah Mohd Saudi, Universiti Sains Islam Malaysia, Malaysia Marcin Bajer, ABB Corporate Research Kraków, Poland Marisa Catalan Cid, i2Cat Foundation, Spain Marwan Hassani, Technische Universiteit Eindhoven, The Netherlands Natalia Kryvinska, University of Vienna, Austria Patience Anitta Namanya, Nettitude Group, UK Rafael Angarita, INRIA and Isep, Paris, France Ron Austin, Birmingham City University, UK R. Venkatesha Prasad, Delft University of Technology, The Netherlands Tacha Serif, Yeditepe University, Turkey Tuna Tugcu, Bogaziçi University, Turkey Vijay S. Rao, Delft University of Technology, The Netherlands A. S. M. Kayes, La Trobe University, Australia

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IEEE Services 2019 - Call for Workshop Papers
by Paolo Ceravolo 25 Mar '19

25 Mar '19

2019 IEEE World Congress on Services CALL FOR WORKSHOP PAPERS 2019 IEEE World Congress on Services (SERVICES) will be held on July 8-13, 2019 in Milan, Italy. The Congress is solely sponsored by the IEEE Computer Society under the auspice of the Technical Committee on Services Computing (TCSVC). The scope of the Congress will cover all aspects of services computing and applications, current or emerging. It covers various systems and networking research pertaining to cloud, edge and Internet-of-Things (IoT), as well as technologies for intelligent computing, learning, big data and blockchain applications, while addressing critical issues such as high performance, security, privacy, dependability, trustworthiness, and cost-effectiveness. We have also developed seven workshops to cover emerging topics that had not been adequately covered by IEEE SERVICES in the past. Authors are hereby encouraged to submit papers to the following workshops. The First IEEE SERVICES Workshop on Network Services http://conferences.computer.org/services/2019/workshops/ns_workshop.html The First IEEE SERVICES Workshop on Edge Computing for Autonomous Things http://conferences.computer.org/services/2019/workshops/ecfat_workshop.html The First IEEE SERVICES Workshop on Big Data for Public Health Policy Making http://conferences.computer.org/services/2019/workshops/bigdata_workshop.ht… The First IEEE SERVICES Workshop on Cyber Security and Resilience in the Internet of Things http://conferences.computer.org/services/2019/workshops/cybersecurity_works… The First IEEE SERVICES Workshop on Knowledge Graph as a Service http://conferences.computer.org/services/2019/workshops/kgaas_workshop.html The First IEEE SERVICES Workshop on Opportunities and Risks for Financial Services: New Advances in FinTech http://conferences.computer.org/services/2019/workshops/fintech_workshop.ht… The First IEEE SERVICES Workshop on Serverless Computing http://conferences.computer.org/services/2019/workshops/sc_workshop.html The submission URL is: https://easychair.org/conferences/?conf=ieeeservices2019 Authors wishing to submit a paper to any of the above workshops must select the corresponding track in order to be considered. IMPORTANT DATES Workshop Paper Submission Deadline: April 2, 2019 Notification to Author: April 16, 2019 Camera-ready & Registration: 1 May 2019 Congress Date: July 8 – 13, 2019 See http://conferences.computer.org/services/2019/ for more information about the Congress. Send inquiries to: Congress Workshop Chairs Stephan Reiff-Marganiec, University of Leicester, srm13(a)leicester.ac.uk Shangguang Wang, BUPT, sgwang(a)bupt.edu.cn

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[FINAL DEADLINE: April 7, 2019] The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019)
by Massimo CAFARO 25 Mar '19

25 Mar '19

WPDM 2019 The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019) http://sara.unisalento.it/~cafaro/WPDM2019/ CALL FOR PAPERS The Third Workshop on Parallel and Distributed Data Mining (WPDM 2019) will be held in conjunction with The 19th International Conference on Computational Science and Its Applications (ICCSA 2019), http://www.iccsa.org Saint Petersburg University, Saint Petersburg, Russia July 1-4 2019 Final deadline for submissions extended to: April 7, 2019 SCOPE AND OBJECTIVES The Workshop on Parallel and Distributed Data Mining is an international forum which brings together researchers and practitioners working on different high-performance aspects of data mining algorithms, enabling novel applications. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. Therefore, there is an increasing interest in the design and implementation of parallel data mining algorithms. On parallel computers, by exploiting the vast aggregate main memory and processing power of processors and accelerators, parallel algorithms can easily address both the running time and memory requirement issues. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of data mining algorithms and applications. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance data mining algorithms and applications, and related topics. The WPDM Workshop topics include (but are not limited to) the following: - Parallel data mining algorithms using MPI and/or OpenMP - Parallel data mining algorithms targeting GPUs and many-cores accelerators - Parallel data mining applications exploiting FPGA - Distributed data mining algorithms - Benchmarking and performance studies of high-performance data mining applications - Novel programming paradigms to support high-performance computing for data mining - Performance models for high-performance data mining applications and middleware - Programming models, tools, and environments for high-performance computing in data mining - Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining INSTRUCTIONS FOR PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above topics. Submitted papers must not have been published or simultaneously submitted elsewhere. The submitted paper must be between 10 to 16 pages long and formatted according to the Springer LNCS (Lecture Notes in Computer Science) rules, Guidelines and templates can be found at the url http://www.springer.com/it/computer-science/lncs/conference-proceedings-gui… To submit a paper, please connect to the Submission site from the link available at the ICCSA 2019 web site: http://ess.iccsa.org. Only papers submitted through the electronic system and strictly adhering to the relevant format will be considered for reviewing and publication. Please pay attention, when submitting your contribution to the workshop, to select the right entry in the listbox shown in the submission form. CONFERENCE POLICY By submitting the paper to ICCSA conference, all authors agree to abide by all ICCSA conference paper submission, publication and presentation policies. Namely, authors confirm that the work is original, has not appeared in literature in any form in the past and will not be submitted to any other venue concurrently with ICCSA submission or until it appears in ICCSA proceedings (in the case of acceptance). Furthermore, upon paper acceptance, authors agree to transfer copyright on the accepted paper to ICCSA, and one of the authors will register the paper and present the paper at the event. No paper withdrawals can be accepted after Conference pre-registration date or within three months of the actual event, whichever date comes first. Paper withdrawal request can be only accepted in writing through email, letter or fax to conference organizers. The conference has no responsibility for any intentional or accidental misuse, misinterpretation, or failure to follow above rules and conditions and holds no legal, civil or other responsibility for opinions, content or utilization of any methods/algorithms expressed in the Conference Proceedings. If you have any questions about paper submission or the workshop, please contact the workshop organisers. IMPORTANT DATES April 7, 2019: Deadline for paper submission April 24, 2019: Notification of Acceptance. May 8, 2019: Early-bird Registration ends. May 8, 2019: Submission deadline for the final version of the Papers July 1-4, 2019: ICCSA 2019 Conference WORKSHOP ORGANIZERS Massimo Cafaro University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: massimo.cafaro(a)unisalento.it Italo Epicoco University of Salento, Italy Phone: +39 0832 297235 Fax: +39 0832 297235 Email: italo.epicoco(a)unisalento.it Marco Pulimeno University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: marco.pulimeno(a)unisalento.it Giovanni Aloisio University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy Phone: +39 334 6501704 Fax: +39 0832 297235 Email: giovanni.aloisio(a)unisalento.it All submitted papers will be reviewed by the workshop technical program committee members. International Program Committee: Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA Giuseppe Di Fatta, University of Reading, UK Ann Gordon-Ross, University of Florida, USA Kenli Li, Hunan University, China Donato Malerba, University of Bari, Italy Barbara Masucci, University of Salerno, Italy Mitsunori Ogihara, University of Miami, USA Takahiko Shintani, The University of Electro-Communications , Japan Domenico Talia, University of Calabria, Italy Paolo Trunfio, University of Calabria, Italy Jeffrey D. Ullman, Stanford University, USA Laurence T. Yang, St Francis Xavier University, Canada - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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[CFP] IEEE CSE 2019 -- The 22nd IEEE International Conference on Computational Science and Engineering
by Han Qiu 25 Mar '19

25 Mar '19

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ IEEE CSE 2019 - The 22nd IEEE International Conference on Computational Science and Engineering - August 1–3, 2019 New York, USA http://www.cloud-conf.net/CSE/2019/index.html +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ INTRODUCTION As computer systems become increasingly large and complex, data based computing technology plays a critical role at supporting next-generation science and engineering applications. Nowadays the Cloud-based complex Big Data applications in science and engineering are consist of heterogeneous software/hardware/network components of changing capacities, availability, and in varied contexts. They provide computing services to large pools of users and applications and the effective solutions require appropriate and smart computational algorithms, architectures and platforms. The CSE conference aims at bringing together researchers and practitioners in the world working on addressing these computing challenges on science and engineering, and providing a forum to present and discuss emerging ideas and trends in this highly challenging research field. The series of highly successful International Conferences on Computational Science and Engineering (CSE), include CSE-09, CSE-10, CSE-11, CSE-12, CSE-1, CSE-14, and CSE-15 were held in Vancouver, Canada, 2009, Hong Kong, China, 2010, Dalian, China, 2011, Paphos, Cyprus, 2012, Sydney, Australia, 2013, Chengdu, China, 2014, Porto, Portugal, 2015, Pairs, France, 2016, Guangzhou, China, 2017and in Bucharest, Romania, 2018. TOPIC Topics of particular interest include, but are not limited to: - Big Data Applications and Analytics - Intelligent and Bio-inspired Computing - Computational Social Systems - Scientific and Engineering Computing - Mobile Computing and Wireless Communications - Embedded and Ubiquitous Computing - Security, Privacy and Trust - Advanced Networking and Applications - Service and Internet Computing - Distributed and Parallel Computing - Dependable, Reliable and Autonomic Computing - CSE Education PAPER SUBMISSION Prospective authors are invited to submit papers via Easychair (https://easychair.org/conferences/?conf=ieeecse2019). The submissions should be formatted with the IEEE 8.5 x 11 inches two-column format with 10-12 point font. Detailed formatting and submission instructions are available at the conference website (http://www.cloud-conf.net/CSE/2019/submission.html). IMPORTANT DATES Paper submission: April 5, 2019 Notification of acceptance: May 15, 2019 Final manuscript submission: June 15, 2019 For further information, please contact: han.qiu(a)telecom-paristech.fr.

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Submission Extension to April 1st for CFP for Virtualization in High Performance Computing and Simulation (VIRT2019)
by Uday Kurkure 22 Mar '19

22 Mar '19

Session01-VIRT The Second Special Session on Virtualization in High Performance Computing and Simulation (VIRT 2019) CALL FOR PAPERS & PARTICIPATION As part of The 17th International Conference on High Performance Computing & Simulation (HPCS 2019) http://hpcs2019.cisedu.info/ or http://conf.cisedu.info/rp/hpcs19 15 - 19 July 2019 Dublin, Ireland Paper Submission Deadline: 01 April 2019 - Extended Submissions could be for full papers, short papers, poster papers, or posters PURPOSE and SCOPE Virtualization has become the foundation of cloud computing. The scale of cloud computing data centers is similar to the supercomputers used in High Performance Computing. Both involve millions of CPU cores, tens of thousands of accelerators like GPUs, FPGAs connected by high speed interconnects and different connection topologies. Studies have shown that the GPU utilization in HPC is often at 50%. Virtualization can be the key to increasing resource utilization and managing massive infrastructures efficiently. GPU vendors have introduced virtualized versions of GPUs. FPGAs are being deployed in virtual infrastructure. These and other developments in the field, along with future exascale systems, will provide increasing degree of virtualization within the systems. The goal of this session is to be an opportunity to discuss and exchange research on the different virtualization technologies and how they can be efficiently applied in High Performance Computing. Theoretical research, engineering solutions dealing with practical tradeoffs, and complex system implementation papers are welcomed. The VIRT topics include (but are not limited to) the following: Virtualization in HPC o Energy efficient solutions for HPC applications in the cloud environment o High-availability based on system-level virtualization mechanisms for HPC o Fault tolerance mechanisms based on system-level virtualization mechanisms for HPC o Performance and evaluation of diverse HPC workloads in virtualization environment o Security Isolation, Resource Isolation and Data Isolation in Virtualized HPC o Flexibility and Ease of system administration and management for virtualized environments for HPC o Running diverse workloads o Running heterogeneous Operating Systems o Live Migration and Suspend/Resume of VMs to improve resource utilization and avoid downtime o Scheduling of resources and Workloads o Software Defined Data Centers (SDDC) o Hypervisors and other virtualization solutions tailored for HPC systems o Big Data and Analytics in Virtualized Environments o Enterprise High Performance Computing in Virtualized Environments Accelerators in Virtualized HPC Environments: o Virtualized GPUs § Scheduling of Virtual GPUs o Using FPGAs in Virtualization Stack § Dynamic Reconfiguration of FPGAs IO Virtualization o Network Virtualization o SR-IOV o Software Defined Networking (SDN) o Storage Virtualization o RDMA and vRDMA Containers in HPC o Isolation of Multiple User-Spaces o Running containers in Virtual Machines Tools o Virtualization solutions for dealing with heterogeneity in HPC environments o Compilers for heterogenous architectures involving GPUS, FPGAs, multi-core CPUs o Operating system support for virtualization in HPC systems o Debugging and/or profiling in virtual environments Algorithms o Distributed Resource Scheduling o Distributed Computing AI, Machine Learning and Deep Learning o Virtualization of Deep Learning Workloads o Deep Learning in HPC Simulations o Resource Allocation Using Machine Learning o Reinforcement Learning for Resource Allocation o Machine Learning to build tools for measurement & calibration Virtualization in Simulation INSTRUCTIONS FOR PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above and other topics related to virtualization in high performance computing and simulation. Submitted papers must not have been published or simultaneously submitted elsewhere until it appears in HPCS proceedings, in the case of acceptance, or notified otherwise. Submission can be for - Regular papers, please submit a PDF copy of your full manuscript, not to exceed 8 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. - Short papers (up to 4 pages), please submit a PDF copy of your full manuscript, not to exceed 4 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. - Poster papers and Posters (please refer to http://hpcs2019.cisedu.info/1-call-for-papers-and-participation/call-for-po… for posters submission details) will also be considered. Please specify the type of submission you have. Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments. Submit a PDF copy of your full manuscript to the special session paper submission site at https://cmt3.research.microsoft.com/VIRT2019 . Acknowledgement will be sent within 48 hours of submission. Conference Policies Only PDF files will be accepted, uploaded to the submission link above. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and soundness, presentation, language, and references. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. At least one of the authors of each accepted paper will have to register and attend the HPCS 2019 conference to present the paper at the special session as scheduled. By submitting the paper to the HPCS conference, all authors agree to abide by all HPCS conference paper submission, publication and presentation policies as well as following ethical and professional codes of conduct, including those of the professional co-sponsoring organizations. Contents of manuscripts submitted to the tracks program committees shall be regarded as privileged as well and handled in the same manner and standards. For more information, please refer to the Authors Info and Registration Info pages. Proceedings Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2019 Conference web site. It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference. The proceedings is projected to be included in the IEEE or ACM Digital Library and indexed in all major indexing services accordingly. SPECIAL ISSUE Plans are underway to have the best papers, in extended version, selected for possible publication in a reputable journal as special issue. Detailed information will soon be announced and will be made available on the conference website. If you have any questions about paper submission or the special session, please contact the special session organizers. IMPORTANT DATES Paper Submissions: ------------------------------------------- 01 April 2019 - Extended Acceptance Notification: -------------------------------------- 22 April 2019 Camera Ready Papers and Registration Due by: ----------- 08 May 2019 Conference Dates: -------------------------------------------- 15–19 July 2019 SPECIAL SESSION ORGANIZERS Uday Kurkure VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-1179 Fax: +1 650- Email: uday(a)alumni.stanford.edu Hari Sivaraman VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-3681 Fax: +1 650- Email: hsivaraman(a)vmware.com Lan Vu VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-1327 Fax: +1 650- Email: lanv(a)vmware.com International Program Committee*: All submitted papers will be rigorously reviewed by the special session technical program committee members following similar criteria used in HPCS 2019 and will be published as part of the HPCS 2019 Proceedings. Cristina Boeres, Fluminense Federal University, Brazil Isaac Gelado, Nvidia Corp., Santa Clara, California, USA Kyle Hale, Illinois Institute of Technology, Illinois, USA Brian Kocoloski, Washington University in St. Louis, Missouri, USA Xiaoyi Lu, The Ohio State University - Columbus, Ohio, USA Carlos Reano, Queen's University Belfast, U.K. Federico Silla, Universitat Politecnica de Valencia, Spain Alex Sim, Lawrence Berkeley National Laboratory, California, USA Giang Son Tran, University of Science and Technology of Hanoi, Hanoi, Vietnam Blesson Varghese, Queen's University Belfast, U.K. Andrew Younge, Sandia National Laboratories, Albuquerque, New Mexico, USA Dong Ping Zhang, AMD Inc., San Jose, California, USA Jie Zhang, Amazon Inc., Washington, USA Na Zhang, VMware Inc., Boston, Massachusetts, USA Yongli Zhao, Beijing University of Posts and Telecommunications, Beijing, China

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HPBench 2019 - CFP (ONLY 10 DAYS LEFT)
by Samar Aseeri 21 Mar '19

21 Mar '19

Dear Sir, dear Madam, Submission deadline has been extended to April 1st. Accepted papers will be published at IEEE. Best regards ========================================================================== CALL FOR PAPERS The 6th Special Session on High Performance Computing for Application Benchmarking and Optimization (HPBench 2019) As part of the International Conference on High Performance Computing & Simulation (HPCS 2019) http://hpcs2019.cisedu.info/ or http://conf.cisedu.info/rp/hpcs19 Dublin, Ireland ========================================================================== Benchmarking is an essential aspect of modern high performance computing and computational science, and as such, it provides a means for quantifying and comparing the performance of different computer systems. With a large combination of aspects to benchmark, all the way from the capability of a single core, to cluster configuration, and to various software configurations, the benchmarking process is more of an art than science. However, the results of this process drive modern science and are vital for the community to draw sensible conclusions on the performance of applications and systems. This special session focuses on research work aimed at benchmarking modern parallel and distributed systems for addressing a number of real world problems. As such, contributions concerning the definition of new open platforms, new benchmarks to match modern architectural evolutions, studies on the aspects of benchmarking different aspects of systems (from raw runtime performance to energy consumption to energy consumed per data movement) and mathematical foundations of benchmarking are sought. IMPORTANT DATES : Papers Due: 1 April 2019 - Extended Author Notification: 22 April 2019 Camera-Ready Submission: 8 May 2019 Conference Dates: 15-19 July 2019 TOPICS : The HPBench topics of interest include, but are not limited to -Open Platforms for Parallel and Distributed Application Benchmarking and Optimization -Benchmarking on the Cloud -Benchmarking of Clusters, Supercomputers, and large-scale systems -Benchmarking the Performance of I/O -Benchmarking of Energy and Energy Efficiency -Benchmarking Web Services -Virtualization for Distributed Benchmarking -Data Distribution for Benchmarking -Performance results of benchmarks on modern platforms -Scalability Aspects of Benchmarking Parallel Applications on Parallel and Distributed Systems -Benchmarking of Parallel Scientific and Business Applications -Performance of Benchmarking Applications (Eg: NAS parallel benchmarks) -Techniques, frameworks and results concerning the benchmarking of library packages -Tools and frameworks for performance modeling systems and applications -Tools and frameworks for simulation, measurement and monitoring -Performance Measurements, Monitoring, Modeling and Simulation -Domain-specific benchmarks and applications (such as image processing, pattern recognition, cryptography, biometrics, differential equation solvers, signal processing and alike) -Mathematical Foundations of Benchmarking, Metrics and Heuristics GENERAL CHAIRS : - Samar Aseeri, King Abdullah University of Science and Technology, Saudi Arabia - Luigi Iapichino, Leibniz Supercomputing Centre (LRZ), Germany - Laurent Lefevre, INRIA, ENS Lyon, France TECHNICAL PROGRAM COMMITTEE: - Cosimo Anglano, Universitá del Piemonte Orientale, Italy - Daniel Balouek-Thomert, Rutgers University, USA - Fabio Baruffa, Intel, Germany - Suren Byna, Lawrence Berkeley National Laboratory, California, USA - Jesus Carretero, Universidad Carlos III de Madrid, Spain - Douglas Doerfler, Lawrence Berkeley National Laboratory, California, USA - Zhiyi Huang, University of Otago, New Zealand - Clay Hughes, Sandia National Laboratories, New Mexico, USA - Aleksandar Ilic, Universidade de Lisboa, Portugal - Bok Jik Lee, Gwangju Institute of Science and Technology, Korea - Ravi Reddy Manumachu, University College Dublin, Ireland - Dana Petcu, West University of Timisoara, Romania - Ivan Rodero, Rutgers University, USA - Gudula Rünger, Technische Universität Chemnitz, Germany - Domenico Talia, Università della Calabria, Rende, Italy ********************************************************************* For more information see http://hpcs2019.cisedu.info/2-conference/special-sessions/session02-hpbench Kind Regards -- Samar Aseeri, PhD Computational Scientist Extreme Computing Research Center (ECRC) Building 1 -Office: 0128 *King Abdullah University of Science & Technology* Thuwal, Saudi Arabia Email: samar.aseeri(a)kaust.edu.sa -- This message and its contents, including attachments are intended solely for the original recipient. If you are not the intended recipient or have received this message in error, please notify me immediately and delete this message from your computer system. Any unauthorized use or distribution is prohibited. Please consider the environment before printing this email.

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[Final Deadline Extension] The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019)
by Massimo CAFARO 16 Mar '19

16 Mar '19

WPDM 2019 The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019) http://sara.unisalento.it/~cafaro/WPDM2019/ CALL FOR PAPERS The Third Workshop on Parallel and Distributed Data Mining (WPDM 2019) will be held in conjunction with The 19th International Conference on Computational Science and Its Applications (ICCSA 2019), http://www.iccsa.org Saint Petersburg University, Saint Petersburg, Russia July 1-4 2019 Final deadline for submissions extended to: April 7, 2019 SCOPE AND OBJECTIVES The Workshop on Parallel and Distributed Data Mining is an international forum which brings together researchers and practitioners working on different high-performance aspects of data mining algorithms, enabling novel applications. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. Therefore, there is an increasing interest in the design and implementation of parallel data mining algorithms. On parallel computers, by exploiting the vast aggregate main memory and processing power of processors and accelerators, parallel algorithms can easily address both the running time and memory requirement issues. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of data mining algorithms and applications. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance data mining algorithms and applications, and related topics. The WPDM Workshop topics include (but are not limited to) the following: - Parallel data mining algorithms using MPI and/or OpenMP - Parallel data mining algorithms targeting GPUs and many-cores accelerators - Parallel data mining applications exploiting FPGA - Distributed data mining algorithms - Benchmarking and performance studies of high-performance data mining applications - Novel programming paradigms to support high-performance computing for data mining - Performance models for high-performance data mining applications and middleware - Programming models, tools, and environments for high-performance computing in data mining - Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining INSTRUCTIONS FOR PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above topics. Submitted papers must not have been published or simultaneously submitted elsewhere. The submitted paper must be between 10 to 16 pages long and formatted according to the Springer LNCS (Lecture Notes in Computer Science) rules, Guidelines and templates can be found at the url http://www.springer.com/it/computer-science/lncs/conference-proceedings-gui… To submit a paper, please connect to the Submission site from the link available at the ICCSA 2019 web site: http://ess.iccsa.org. Only papers submitted through the electronic system and strictly adhering to the relevant format will be considered for reviewing and publication. Please pay attention, when submitting your contribution to the workshop, to select the right entry in the listbox shown in the submission form. CONFERENCE POLICY By submitting the paper to ICCSA conference, all authors agree to abide by all ICCSA conference paper submission, publication and presentation policies. Namely, authors confirm that the work is original, has not appeared in literature in any form in the past and will not be submitted to any other venue concurrently with ICCSA submission or until it appears in ICCSA proceedings (in the case of acceptance). Furthermore, upon paper acceptance, authors agree to transfer copyright on the accepted paper to ICCSA, and one of the authors will register the paper and present the paper at the event. No paper withdrawals can be accepted after Conference pre-registration date or within three months of the actual event, whichever date comes first. Paper withdrawal request can be only accepted in writing through email, letter or fax to conference organizers. The conference has no responsibility for any intentional or accidental misuse, misinterpretation, or failure to follow above rules and conditions and holds no legal, civil or other responsibility for opinions, content or utilization of any methods/algorithms expressed in the Conference Proceedings. If you have any questions about paper submission or the workshop, please contact the workshop organisers. IMPORTANT DATES April 7, 2019: Deadline for paper submission April 24, 2019: Notification of Acceptance. May 8, 2019: Early-bird Registration ends. May 8, 2019: Submission deadline for the final version of the Papers July 1-4, 2019: ICCSA 2019 Conference WORKSHOP ORGANIZERS Massimo Cafaro University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: massimo.cafaro(a)unisalento.it Italo Epicoco University of Salento, Italy Phone: +39 0832 297235 Fax: +39 0832 297235 Email: italo.epicoco(a)unisalento.it Marco Pulimeno University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: marco.pulimeno(a)unisalento.it Giovanni Aloisio University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy Phone: +39 334 6501704 Fax: +39 0832 297235 Email: giovanni.aloisio(a)unisalento.it All submitted papers will be reviewed by the workshop technical program committee members. International Program Committee: Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA Giuseppe Di Fatta, University of Reading, UK Ann Gordon-Ross, University of Florida, USA Kenli Li, Hunan University, China Donato Malerba, University of Bari, Italy Barbara Masucci, University of Salerno, Italy Mitsunori Ogihara, University of Miami, USA Takahiko Shintani, The University of Electro-Communications , Japan Domenico Talia, University of Calabria, Italy Paolo Trunfio, University of Calabria, Italy Jeffrey D. Ullman, Stanford University, USA Laurence T. Yang, St Francis Xavier University, Canada - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) at Hong Kong Baptist University
by COMP HKBU 15 Mar '19

15 Mar '19

The Department of Computer Science of Hong Kong Baptist University, presently offers BSc, MSc, MPhil, and PhD programmes, now seeks outstanding applicants for the following faculty positions on tenure-track. The appointees are expected to perform high-impact research; to teach and manage programmes at undergraduate and postgraduate levels, as well as to contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) secure and privacy-aware computing, and/or outside the Department to contribute to interdisciplinary research projects under our University’s Research Cluster on Data Analytics and A.I. in X. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department’s key research areas: (i) computational intelligence, (ii) databases and information management, (iii) networking and systems, and (iv) pattern recognition and machine learning. Applicants should also demonstrate strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and demonstrate the ability to bid for and pursue externally-funded research programmes. Initial appointment will be made on a fixed-term contract of three years. Re-appointment thereafter is subject to mutual agreement and availability of funding. For enquiry, please contact Dr. William Cheung, Head of Department (email: william(a)comp.hkbu.edu.hk). More information about the Department can be found at http://www.comp.hkbu.edu.hk . Rank and salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk). Applicants are requested to send in samples of publications, preferably three best ones out of their most recent publications. Applicants should also request two referees to send in confidential letters of reference, with PRnumber (stated above) quoted on the letters, to the Personnel Office (email: recruit(a)hkbu.edu.hk) direct. All application materials including publication samples, scholarly/creative works will be destroyed after completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at http://pers.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications will begin in mid April 2019 and will continue until the positions are filled. URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=503

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IDC 2019 - CALL FOR PAPERS - The 13th International Symposium on Intelligent Distributed Computing
by Igor Kotenko 14 Mar '19

14 Mar '19

To: computational.science(a)lists.iccsa.org Subject: [computational.science] IDC 2019 - CALL FOR PAPERS - The 13th International Symposium on Intelligent Distributed Computing [Apologies if you receive multiple copies of this message] ---------------- The Announcement and Call for Papers The 13th International Symposium on Intelligent Distributed Computing (IDC 2019) Saint-Petersburg, Russia, October 7-9, 2019 https://idc2019.ru CALL FOR PAPERS Symposium description The 13th International Symposium on Intelligent Distributed Computing (IDC 2019) will be held October 7-9, 2019 in Saint-Petersburg, Russia. The main goal of the symposium is to gather researchers and practitioners to foster and ease rich discussions around the latest findings, research achievements and ideas in the area of Intelligent Distributed Computing. The IDC provides an open forum for enhancing the collaboration between researchers, lecturers, and students from Intelligent Computing and Distributing Computing communities. Intelligent Computing covers a hybrid palette of methods, techniques and their applications ranging from classical artificial intelligence, information and data sciences, multi-agent technologies or computational intelligence to more recent trends such as swarm intelligence, bio-inspired computation, cloud computing, machine learning or social-cyber-physical security. Recent trends on this field present ephemeral computing, federated learning, swarm Intelligence, fog computing, semantic data science and others. Thus, the field of Intelligent Distributed Computing seeks for the design and implementation of new generation of intelligent distributed systems, adapting or hybridizing researches in both Intelligent Computing and Distributed Computing. IDC 2019 welcomes research works centered on all aspects of intelligent distributed computing, with an intention to balance between theoretical research ideas and their application to great variety of industrial cases. To this end, scholars and practitioners from academia and industrial fields are invited to submit high-quality original contributions to IDC 2019. The structure of the symposium consists of regular sessions with technical contributions reviewed and selected by an international program committee, as well as of special sessions and workshops targeted on multi-disciplinary and cutting-edge topics. IDC 2019 has a special interest in novel and creative approaches, architectures, systems and methods that facilitate distributed / parallel / multi-agent / bio-inspired computing for solving complex computational and communicational problems as well as real-life challenges. The scope of this edition spans further to embrace recent paradigms in Distributed Computation. Location The IDC 2019 Symposium organized by Laboratory of Computer Security Problems of St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS) and ITMO University will be held in St. Petersburg, Russia. Saint-Petersburg founded by Peter the Great in 1703, can rightly be called one of the most beautiful cities in Europe, united in its appearance European and Russian, architectural tradition. It was the imperial capital for two centuries and remains Russia's cultural center, with venues like the Hermitage, one of the largest art museums in the world, the State Russian Museum showcasing Russian art, from Orthodox icon paintings to Kandinsky works, and the Mariinsky Theatre hosting opera and ballet. The historic centre of St. Petersburg and related groups of monuments constitute a UNESCO World Heritage Site. The city is often called the "Venice of the North" because it is built on 44 islands, separated by 86 rivers and canals. Saint Petersburg is famous for its "white nights" when the end of May to mid-July instead of darkness envelops the city soft twilight, creating a unique romantic atmosphere, which is complemented by the classic St. Petersburg overlooking divorced bridges. St. Petersburg is not less beautiful, and in the winter, with encased in ice Neva and brilliant snow on the domes of St.Petersburg cathedral. Important dates Notification of acceptance for Tutorials/ Workshops/ Special sessions: March 4th, 2019 Paper submission: April 9th, 2019 Notification of acceptance: May 31st, 2019 Final paper submission: June 4th, 2019 Symposium dates: October 7th-9th, 2019 Submission of Papers All accepted papers will be included in the Symposium Proceedings, which will be published by Springer as part of their series Studies in Computational Intelligence. Papers must be at most 10 pages long and must be formatted according to Springer format. Submissions and reviews are automatically handled by EasyChair. Please submit your paper at: https://easychair.org/conferences/?conf=idc2019. Symposium Contacts General Chairs: Prof. Igor Kotenko, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS) and ITMO University Prof. Costin Badica, University of Craiova, Romania E-mail: idc2019(a)comsec.spb.ru The conference Website: https://idc2019.ru Symposium Main Topics Intelligent Distributed and High-Performance Architectures * Hybrid distributed systems involving software agents and human actors * Intelligent grid and cloud infrastructures * Agent-based wireless sensor networks * Distributed frameworks and middleware for the IoT * Intelligent high-performance architectures * Context-aware intelligent computing * Virtualization for intelligent computing * Bio-inspired and nature-inspired distributed computing Computation Organization and Management * Autonomic and adaptive distributed computing * Multi-agent systems * Intelligent service composition and orchestration * Self-organizing and adaptive distributed systems * Emerging behaviors in complex systems * Intelligent integration of heterogeneous data and processes * Methodologies for development of intelligent distributed systems and applications Parallel metaheuristics for optimization * Evolutionary simulated annealing, Distributed Tabu Search * Parallel Variable Neighborhood Search * Swarm intelligence methods based on distributed knowledge sharing * Hybridization of Swarm Intelligence techniques, Memetic Computing, Adaptive Swarm Intelligence * Distributed Evolutionary Techniques, Cellular Evolutionary Algorithm, Hyper Heuristics Ephemeral and Unreliable computing * Theory and applications of complex ephemeral or unreliable environments * Design of ephemeral computing systems * Application of Soft Computing methods on computational environments featuring ephemeral behavior * Meta-heuristics for modeling and analyzing systems with ephemeral properties, such as social network dynamics, ephemeral clustering and pattern mining, ephemeral computational creativity or content generation Intelligent Distributed Knowledge Representation and Processing * Information extraction and retrieval in distributed environments * Knowledge integration and fusion from distributed sources * Data mining and knowledge discovery in distributed environments * Semantic and knowledge grids * Fuzzy methods * Ontologies and meta-data for describing heterogeneous resources and services * Distributed fusion of sensor data streams Networked Intelligence * E-service and web intelligence * Intelligence in mobile, ubiquitous and wearable computing * Intelligence in peer-to-peer systems * Intelligence in distributed and networked multimedia systems * Security, privacy, trust and reputation Parallel Computing * Parallel and Distributed Computational Models * Embedded Parallel Distributed Systems * Multi- and Many-core Systems * GPU and FPGA based Parallel Systems * Parallel Input/Output * Memory Organization * Parallel Cloud Computing * Parallel and Distributed Optimizations * Hardware Acceleration for Deep Learning Data Science * Big Data technologies * Machine Learning * Large Scale data processing * Distributed databases and archives * Data Management * Semantic Data Science and Applications * Soft Social Computing and Network Science * Interdisciplinary Approaches in Data Science * Data Intensive Applications * Intelligent Analysis of Large Spatial Data * Ontological based Approaches to Data Storage and Processing * Data Sciences use-cases, including Social Network analysis Networked Intelligence * E-service and web intelligence * Intelligence in mobile, ubiquitous and wearable computing * Intelligence in peer-to-peer systems * Intelligence in distributed and networked multimedia systems * Security, privacy, trust and reputation Nature inspired methods for data science and machine learning * Recent advances on nature inspired methods for data science * Novel applications of bio-inspired methods to data mining, with priority on real-world scenarios * Nature-inspired methods for supervised and unsupervised data mining * Hybridizing bio-inspired methods with machine learning and data mining techniques * Nature-inspired methods for feature selection and/or instance generation/selection * Implementation of bio-inspired methods using Big Data technologies * Federated learning: theory and applications Intelligent Distributed Applications * Security of Intelligent Distributed Systems * Attack Modeling, intrusion detection and protection in Intelligent Distributed Systems * Intelligent methods in Cyber-Physical Systems * Distributed problem solving and decision making * Semantic Applications * Intelligent applications in e-business/e-commerce, e-learning, e-health, e-science, e-government, crisis management, smart grid * Modeling, simulation and development of intelligent distributed systems * Crisis management * Simulation of groups and crowds * Intelligent data processing * Intelligent robots Special Sessions: * Advanced Methods for Intelligent Distributed Computing in Telecommunication Systems * Advanced Methods for Social Network Analysis and Inappropriate Content Counteraction * Big Data for Intelligent Distributed Information Processing * Intelligent Autonomous Vehicles and Safety (AVS) * Intelligent Distributed Computing for Cyber-Physical Security and Safety (IDCCPSS) * Intelligent Distributed Decision Support Systems (IDDSS) * Intelligent Human-Machine Interfaces (IHMI) * Internet of Things and Internet of Agents * Parallel and Distributed Algorithms for Artificial Intelligence Applications (PDAAIA) * Security for Intelligent Distributed Computing (IDC) - Machine Learning (ML) vs. Chains of Trust (CoT) * Visual Analytics in Distributed Environment =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=

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Call For Papers: The 1st International Workshop on Human-oriented Intelligent Defence Against Malware Threats (HIDAMT)
by Andrii Shalaginov 13 Mar '19

13 Mar '19

Dear Colleague, (Apologies for multiple postings) You are welcome to submit your contributions to the workshop on Human-oriented Intelligent Defence Against Malware Threats, which will be held as a part of the 28th International Joint Conference on Artificial Intelligence (IJCAI) 2019. The conference will take place on the 10-16th of August 2019 in Macao, China. Workshop webpage: https://folk.ntnu.no/andriis/hidamt2019/ *** IMPORTANT DATES *** Apr 12, 2019: Due date for full workshop paper submissions May 10, 2019: Paper acceptance notification Jun 3, 2019: Complete papers submission Aug 10-12, 2019: Workshops and conference *** INTRODUCTION *** Recent cybersecurity incidents involving malware demonstrated how serious the consequences can be for both individual users and large organizations. McAfee report on malware threats shows that over four quarters of 2017 there were identified 690 millions of malware samples, which is an extreme number considering amount of manual work required to process even a tiny fraction of those. Many malware analysis across different security organizations spent hours trying to analyze and understand functionality of malware. At the same time overwhelming amount of malicious threats and malware forms cause considerable delays from the time malware has been discovered to the time a corresponding efficient signature was created. Moreover, the malware infection is no longer limited to personal computers, but now also hits such components as Internet of Things and Industrial Control Systems, which were previously unaffected and the cybersecirty impact was underestimated. >From before Machine Learning and Computational Intelligence have demonstrated advantages of application in cybersecurity-related tasks. In particular, many researchers have been employing such techniques to mitigate obfuscation, polymorphous and encryption while building intelligent malware detection mechanisms. Intelligent malware analysis and detection is an emerging topic of cybersecurity that has to go in line with advancement of malware developers and consistent presence of zero-day attacks. Our focus is not only to build and effective Machine Learning-based malware protection, but also comprise models that are to be understood by human experts. Therefore, we believe that Machine Learning-aided human-oriented approaches will ensure timely response to malware threats. Moreover, those can serve as a stepping stone in faster and more efficient analysis of novel malware as well as similarity-based identification of adversarial attacks on Machine Learning. *** PROPOSED TOPICS *** Note that the topics are not limited to this proposed list. 1. Automated pre-processing phase - Efficient features identification and construction - Novel approaches for malware categorization - Human-understandable characterization of malware - Indicators of Compromise as successful identification tool - Information Fusion and Open Threats Intelligence 2. Advanced computational methods - Deep Learning models - Similarity-based analysis to avoid evasion - Big Data-oriented optimization of detection - Hybrid Intelligence and Soft Computing - Secure and robust models to avoid adversarial attacks 3. Combating malware in a wild - End-point implementations - Novel malware collection and sharing platforms - Applications in Decision Support Systems - Human reasoning in Machine Learning-aided malware detection - Real-time defence and online learning - Explainable rules derived from train Machine Learning models *** PROGRAM CO-CHAIRS *** Andrii Shalaginov, Norwegian University of Science and Technology Geir Olav Dyrkolbotn, Center for Cyber and Information Security Sergii Banin, Norwegian University of Science and Technology Ali Dehghantanha, University of Guelph Katrin Franke, Norwegian University of Science and Technology *** PROGRAM COMMITTEE *** Olaf M. Maennel (Tallinn University of Technology) Asif Iqbal (KTH Royal Institute of Technology) Oleksandr Semeniuta (Norwegian University of Science and Technology) Mamoun Alazab (Charles Darwin University) Vasileios Mavroeidis (University of Oslo) Sreyasee Das Bhattacharjee (University of North Carolina at Charlotte) Igor Kotsiuba (Pukhov Institute for modeling in Energy Engineering) Mark Scanlon (University College Dublin) Piotr Andrzej Kowalski (AGH University of Science and Technology) Reza Parizi (Kennesaw State University) Mohammad Hamoudeh (Manchester Metropolitan University) Gregory Epiphaniou (University of Wolverhampton) Bojan Kolosnjaji (Technical University of Munich) Shih-Chieh Su (‎Microsoft) -- Best regards / Med vennlig hilsen, ―- Andrii SHALAGINOV, PhD Postoctoral Researcher in Digital Forensics Malware Analyst IEEE Member Norwegian University of Science and Technology NTNU | http://www.ntnu.edu/employees/andrii.shalaginov

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[CFP] IEEE EUC 2019 - The 17th IEEE International Conference on Embedded and Ubiquitous Computing
by Han Qiu 13 Mar '19

13 Mar '19

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ IEEE EUC 2019 - The 17th IEEE International Conference on Embedded and Ubiquitous Computing - August 1–3, 2019 New York, USA http://www.cloud-conf.net/EUC/2019/index.html +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ INTRODUCTION With the rapid development and increasing complexity of computer systems and communication networks, user requirements for embedded and ubiquitous computing are becoming more and more demanding. Therefore, there is a grand challenge that traditional computing techniques may not meet user requirements in open, dynamic, heterogeneous, mobile, wireless, and distributed computing environments. As a result, we need to build embedded systems and networks based on ubiquitous computing. As important and innovative technologies, embedded and ubiquitous computing techniques are attracting researchers with more and more attention. Embedded ubiquitous computing is promising to improve people’s quality of life by creating new applications based on data processing in IoT network. Many research efforts have been performed on novel processing and communication architectures, technologies and management strategies. Embedded ubiquitous computing systems can leverage wireless sensor networks to collect and process data and use cloud technologies, peer-to-peer systems, and big data paradigms to provide computing and analytics capabilities. Nowadays, because of the growth of smart devices, embedded ubiquitous computing technologies and combined with cyber world to provide many smart services, the Internet of Things (IoT) became more promising to realize that various embedded applications allow users to enjoy more comprehensive services. As an emerging research topic, embedded ubiquitous computing relate to and support a computing vision for a greater range including smart devices (mobile, wireless, service), smart environments (of embedded system devices) and smart interaction (between devices). The EUC conference aims, as such, to provide a platform for the dissemination of recent research efforts that explicitly aim at addressing these challenges, and supports the presentation of advanced solutions in these areas. TOPIC Topics of particular interest include, but are not limited to: - Data analysis and data management for embedded and ubiquitous computing - Applications for embedded and ubiquitous computing - Parallel and distributed systems - Mobile systems and applications for embedded and ubiquitous computing - Enhanced living environments and smart habitats for older adults - Security, safety and reliability/dependability - Hardware architectures and design tools - Software and programming tools for embedded and ubiquitous computing PAPER SUBMISSION Prospective authors are invited to submit papers via Easychair (https://easychair.org/conferences/?conf=ieeeeuc2019). The submissions should be formatted with the IEEE 8.5 x 11 inches two-column format with 10-12 point font. Detailed formatting and submission instructions are available at the conference website (http://www.cloud-conf.net/EUC/2019/submission.html). IMPORTANT DATES Paper submission: April 5, 2019 Notification of acceptance: May 15, 2019 Final manuscript submission: June 15, 2019 For further information, please contact: han.qiu(a)telecom-paristech.fr.

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CFP: The 5th IEEE International Conference on Big Data Intelligence and Computing (IEEE DataCom 2019)
by Bahman Javadi 13 Mar '19

13 Mar '19

The 5th IEEE International Conference on Big Data Intelligence and Computing Kaohsiung, Taiwan, Nov. 18-21, 2019http://www.cs.ccu.edu.tw/~conference/datacom2019/ Dear Colleagues: We cordially invite you to share your latest research results related to big data analytics and intelligence at the IEEE DataCom 2019 conference. --------------------------- CALL FOR PAPERS --------------------------- Big data is a rapidly expanding research area spanning the fields of computer science and information management, and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and telecommunications. The goal of the IEEE International Conference on Big Data Intelligence and Computing (IEEE DataCom 2019) is to establish an international forum for engineers and scientists to present their ideas and experiences in the fields of Big Data intelligence and computing. IEEE DataCom 2019 welcomes paper submissions on innovative work from researchers in academia, industry and government describing original research work in Big Data. Authors of selected papers will be invited to submit an extended version (with at least 30% new material) for review and publication in special issues of international journals. IEEE DataCom 2019 will be held on Nov. 18-21, 2019, co-located with IEEE SC2 2019, IEEE SOCA 2019 and IOV 2019, in Kaohsiung, Taiwan. Topics of interest include, but are not limited to: - The 5Vs of the data landscape: volume, variety, velocity, veracity, value - Big data science and foundations - Analytics, visualization and semantics - Software and tools for big data management. - Security, privacy and legal issues specific to big data - Big data economy, QoS and business models - Scientific discovery and business intelligence - Software, hardware and algorithm co-design - High-performance computing - Large-scale recommendation systems - Graph analysis - Infrastructures and systems for big data analytics and managements - Middleware and tools for big data analytics and managements - Algorithmic, experimental, prototyping and implementation - Data quality issues: such as validation, metrics, optimizations and consistency - Data-driven innovation, computational modelling and data integration - Data intensive computing theorems and technologies - Big data for advanced manufacturing and productivity - Modeling, simulation and performance evaluation - Green data centers / environmental-friendly perspectives - Computing, scheduling and resource management for sustainability - Complex applications in areas where massive data is generated ---------------------------------------- PUBLICATION HIGHLIGHTS ---------------------------------------- IEEE CS proceedings, indexed by - IEEE Xplore - Scopus - EI Engineering Index - ACM Digital Library - dblp - Google Scholar Extended version of the selected papers will be invited for publication in prestigious international journals. ---------------------------- IMPORTANT DATES ---------------------------- Tutorial/Workshop/Special Session Proposal Due: April 30, 2019 Research Article (early track): Paper Submission May 30, 2019 Author Notification June 15, 2019 Research Article (regular track): Paper Submission July 20, 2019 Author Notification August 31, 2019 Poster/Special Session: Paper Submission September 10, 2019 Author Notification September 26, 2019 Registration Due: October 10, 2019 Camera ready submission: October 20, 2019 Official Invitation Letter will be issued upon completion of registration ----------------- SUBMISSION ----------------- Authors are invited to submit their original research work that has not previously been submitted or published in any other venue. Papers should be prepared in IEEE CS format and submitted via The EasyChair system. IEEE formatting information:http://www.ieee.org/conferences_events/conferences/publishing/t… - Proposals for organizing tutorials, workshops and special sessions need to be submitted to the Workshops Chair of the conference. A proposal should include title, theme, scope and main presenters/organizers. - Research paper (8 pages) should explore a specific technology problem and propose a complete solution to it, with experimental results. - Works-in-Progess (WIP) (6 pages) papers are expected to present either work currently in progress or less developed but highly innovative ideas. - Demo/Poster papers (4 pages) must describe working systems and be related to DataCom. These systems may be innovative prototype implementations or mature systems that use related technology. Papers/proposals need to be submitted to the Demo/Poster Chair. - Workshop and Special Session papers need to be submitted to the corresponding workshops and special sessions Chairs. All accepted papers in the main tracks, workshops, special sessions and demos/posters will be published in an IEEE Computer Society proceedings. Extended versions of selected excellent papers will be considered for publication in special issues of prestige journals (SCI/EI indexed). ------------------------------- BEST PAPER AWARDS ------------------------------- The award committee will select Best Paper/Poster Award(s) and present the winners with an actual frame Award Certificate at the conference banquet. ------------------------------- Organizing Committees ------------------------------- General Chairs Ren-Hung Hwang, National Chung Cheng University, Taiwan Albert Zomaya, The University of Sydney, Australia Jiming Chen, Zhejiang University, China Program Chairs Che-Rung Lee, National Tsing Hua University, Taiwan Jemal Abawajy, Deakin University, Australia Workshop Chairs Che-Lung Hung, Chang Gung University, Taiwan Demo & Poster Chair Hung-Chang Hsiao, National Cheng Kung University, Taiwan Publication Chair Alex Mu-Hsing Kuo, University of Victoria, Canada Award Chair Frank Hsu, Fordham University, USA Publicity Chair Song Wu, Huazhong University of Science and Technology, China Bahman Javadi, University of Western Sydney, Australia I-Hsin Chung, IBM Thomas J. Watson Research Center, USA Chao-Chin Wu, National Changhua University of Education, Taiwan Advisory Committee Anna Kobusinska, Poznan University of Technology, Poland Beniamino Di Martino, Second University of Naples, Italy Christophe Cérin, Université Paris 13, France Cho-Li Wang, The University of HongKong, Hong Kong Jinsong Wu, University de Chile, Chile Rajiv Ranjan, Newcastle University, UK Song Guo, The Hong Kong Polytechnic University, Hong Kong Vincent S. Tseng, National Chiao-Tung University, Taiwan Wenguang Chen, Tsinghua University, China Xiaolin Li, University of Florida, USA Yeh-Ching Chung, The Chinese University of HongKong, Hong Kong Feng Xia, Dalian University of Technology, China Steering Committee Sanjay Ranka, University of Florida, USA Robert Hsu, National Chung Cheng University, Taiwan Manish Parashar, Rutgers University, USA Hai Jin, HUST, China Jie Li, University of Tsukuba, Japan Yuanyuan Yang, Stony Brook University, USA

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[CFP] 4th IEEE International Conference on Rebooting Computing
by Tumeo, Antonino 12 Mar '19

12 Mar '19

[Apologies if you receive multiple copies of this CFP] Call for Papers 4th IEEE International Conference on Rebooting Computing Part of IEEE Rebooting Computing Week 6-8 November 2019 San Francisco Bay Area, California http://icrc.ieee.org/ The 4th IEEE International Conference on Rebooting Computing (ICRC 2019) will be held November 6-8 in the San Francisco Bay Area, California. ICRC is a premier venue for novel computing approaches. ICRC grew out of the IEEE Rebooting Computing Initiative (RCI), which was founded in 2012 to catalyze rethinking of the computer at all levels of the technology stack. The Rebooting Computing Committee represents thirteen IEEE Societies and Councils, and the membership in the Rebooting Computing Technical Community is approaching three thousand. For more information on the RCI please visit the Rebooting Computing Portal (http://rebootingcomputing.ieee.org). Now in its 4th year, the IEEE International Conference on Rebooting Computing is the premier venue for forward looking computing, including algorithms and languages, system software, system and network architectures, new devices and circuits, and applications of new materials and physics. This is an interdisciplinary conference that has participation from a broad technical community, with emphasis on all aspects of the computing stack. The broad scope of ICRC extends to many areas of interest, including novel device physics and materials for post-Moore, beyond CMOS, and non-von Neumann computing paradigms. ——————————————— Topics of interest ——————————————— *Future computing approaches, including neuromorphic, brain-inspired computing, approximate and probabilistic, analog computing; computing based on novel device physics and materials (e.g., spin-based electronics, nonlinear dynamics and chaos); energy-efficient computing including reversible, adiabatic, and ballistic computing, superconductor and cryogenic computing; quantum computing; optical computing; biological and biochemical computing; Non-von Neumann computer architectures (e.g., in-memory processing, memory-based computing, cellular automata, or cellular neural networks). *Future computing design aspects, including extending Moore’s law and augmenting CMOS; error-tolerant logic and circuits; future of design automation. post-CMOS, 3D, heterogeneous integration and packaging; future impact on performance, power, scalability, reliability, supportability *Future Software and Applications, including beyond von Neumann system software issues (operating systems, compilers, security, and resource management); future computing programming paradigms and languages; applications suitable for and driving next generation computing (e.g., machine learning, deep learning.) *Future computing use cases and prototypes, including ethics in design, implementation, and use; new technologies impacting the International Roadmap for Devices and Systems (IRDS); cybersecurity in future computing systems. ——————————————— Organizing Committee ——————————————— General co-Chairs: Cullen Bash (Hewlett Packard Enterprise) and Vivek Sarkar (Georgia Institute of Technology) Program co-Chairs: Jim Ang (PNNL) and Paolo Faraboschi (Hewlett Packard Enterprise) Full committee list: http://icrc.ieee.org/committee Authors’ guidelines: http://icrc.ieee.org/authors-guidelines ——————————————— Important dates ——————————————— *Paper abstract submissions due: April 29, 2019 (11:00 pm EDT) *Paper submissions due: May 6, 2019 (11:00 pm EDT) *Author notification of acceptance: August 7, 2019 *Final copies of papers due: September 6, 2019

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