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Call For Papers - IEEE International Conference on High Performance Computing, Data, and Analytics 2020
by sanmukh＠hipc.org 19 Apr '20

19 Apr '20

********************************************************************** 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 2020 CALL FOR PAPERS ********************************************************************* 27th IEEE International Conference on High Performance Computing, Data, and Analytics 16--19 December, 2020 in Pune India https://hipc.org/ PROGRAM CHAIRS HPC: Bora Uçar, CNRS and ENS Lyon, France Data Science: Gagan Agrawal, Augusta University, USA HPC TRACKS Algorithms: Kamesh Madduri, Pennsylvania State University, USA Applications: Yogesh Simmhan, Indian Institute of Science, India and Ana Lucia Varbanescu, University of Amsterdam, The Netherlands Architecture: Biswabandan Panda, IIT Kanpur, India System Software: Marco Aldinucci, University of Torino, Italy DATA SCIENCE TRACKS Scalable Algorithms and Analytics: Bingsheng He, National University of Singapore and Amelie Chi Zhou, Shenzhen University, China Scalable Systems and Software: Suren Byna, Lawrence Berkeley National Laboratory, USA HiPC 2020 will be the 27th 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 Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional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. Up to two best paper awards will be given for outstanding contributed papers. HIGH PERFORMANCE COMPUTING 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); * Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management); * Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); * Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models). Architecture. 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): * High performance processing architectures (e.g., reconfigurable, system-on-chip, manycores, vector processors); * Networks for high performance computing platforms (e.g., interconnect topologies, network-on-chip); * 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); * 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 and high performance applications for execution on parallel, distributed and accelerated platforms, and related advances. Examples of topics of interest include (but not limited to): * Shared and distributed memory parallel applications (e.g., scientific computing, simulation and visualization applications, graph and irregular applications, data-intensive applications, science/engineering/industry applications, emerging applications in IoT and life sciences, etc.); * Methods, algorithms and optimizations for scaling applications on peta- and exa-scale platforms (e.g., co-design of hardware and software, heterogeneous and hybrid programming); * Hardware acceleration of parallel applications (e.g., GPUs, FPGA, vector processors, manycore); * Application benchmarks and workloads 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); * Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms). DATA SCIENCE 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); * Scalable algorithms that ensure the transparency and fairness of the analysis; * Case studies, experimental studies and benchmarks for scalable algorithms and analytics; * Scaling and accelerating machine learning, deep learning and computer vision applications. 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) * 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); * Systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); * Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy preserving and secure schemes). IMPORTANT DATES (2020) Abstract Submissions : June 8, 2020 Paper Submissions : June 15, 2020 Reviews for Rebuttals: August 4, 2020 Initial Submission Decisions: August 21, 2020 Revisions Due: September 22, 2020 Author Notifications: October 2, 2020 Camera Ready: October 16, 2020 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 style templates for details: •LaTex Package (ZIP) – will be linked •Word Package (ZIP) – will be linked Electronic submissions must be in the form of a readable PDF file. 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, for example in a separate paragraph in the introduction of the paper. The review process is “single-blind” (i.e., authors can list their names on the paper), and that there will be a rebuttal period. 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 Chair at the email address below for further information or clarification. 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 in person is a requirement of publication. Any paper that is not presented at the conference will not be included in IEEE Xplore. Authors of selected high quality papers in HiPC 2020 will be invited to submit extended versions of their papers for possible publication in a special issue of Journal of Parallel and Distributed Computing. Submit your paper: https://easychair.org/conferences/?conf=hipc2020. __________________________________________________________________________ HiPC 2020 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); * IFIP Working Group on Concurrent Systems; * Manufacturers' Association for Information Technology (MAIT); * National Association of Software and Service Companies (NASSCOM).

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[PSD 2020, deadline approaching] PRIVACY IN STATISTICAL DATABASES, Springer LNCS, Arezzo, Italy, Sep. 23-25, 2020
by Joaquin Garcia-Alfaro 17 Apr '20

17 Apr '20

[apologies for cross-posting] PRIVACY IN STATISTICAL DATABASES 2020 (PSD 2020) ================================================ Arezzo, Italy, Sep. 23-25, 2020 http://unescoprivacychair.urv.cat/psd2020 Submission deadline: **MAY 24, 2020** ** In spite of Covid-19, we plan to organize PSD 2020 as scheduled. The submission deadline (May 24, 2020) stays valid ** 1. AIMS AND GOAL ----------------- Privacy in statistical databases is about finding trade-offs to the tension between the increasing societal and economical demand for accurate information and the legal and ethical obligation to protect the privacy of individuals and enterprises which are the respondents providing the statistical data. In the case of statistical databases, the motivation for respondent privacy is one of survival: statistical agencies or survey institutes cannot expect to collect accurate information from individual or corporate respondents unless these feel the privacy of their responses is guaranteed. Beyond respondent privacy, there are two additional privacy dimensions to be considered: privacy for the data owners (organizations owning or gathering the data, who would not like to share the data they have collected at great expense) and privacy for the users (those who submit queries to the database and would like their analyses to stay private). "Privacy in Statistical Databases 2020" (PSD 2020) is a conference sponsored and organized by the UNESCO Chair in Data Privacy (http://unescoprivacychair.urv.cat) with proceedings published by Springer-Verlag in Lecture Notes in Computer Science. The purpose of PSD 2020 is to attract world-wide, high-level research in statistical database privacy. PSD 2020 is a successor to - PSD 2018 (Valencia, Sep. 26-28, 2018, https://unescoprivacychair.urv.cat/psd2018/) - PSD 2016 (Dubrovnik, Sep. 14-16, 2016, https://unescoprivacychair.urv.cat/psd2016/) - PSD 2014 (Eivissa, Sep. 17-19, 2014, http://unescoprivacychair.urv.cat/psd2014/) - PSD 2012 (Palermo, Sep. 26-28, 2012, http://unescoprivacychair.urv.cat/psd2012) - PSD 2010 (Corfu, Sep. 22-24, 2010, http://unescoprivacychair.urv.cat/psd2010) - PSD 2008 (Istanbul, Sep. 24-26, 2008, http://unescoprivacychair.urv.cat/psd2008) - PSD 2006 (Rome, Dec. 13-15, 2006, http://crises-deim.urv.cat/psd2006) and PSD 2004 (Barcelona, June 9-11, 2004, http://crises-deim.urv.cat/psd2004) all with proceedings published by Springer in LNCS 11126, LNCS 9867, LNCS 8744, LNCS 7556, LNCS 6344, LNCS 5262, LNCS 4302 and LNCS 3050, respectively. Those nine PSD conferences follow a tradition of high-quality technical conferences on SDC which started with "Statistical Data Protection-SDP'98", held in Lisbon in 1998 and with proceedings published by OPOCE, and continued with the AMRADS project SDC Workshop, held in Luxemburg in 2001 and with proceedings published in Springer LNCS 2316. Like the aforementioned preceding conferences, PSD 2020 originates in Europe, but wishes to stay a worldwide event in database privacy and SDC. Thus, contributions and attendees from overseas are welcome. 2. ORGANIZATION --------------- PROGRAM COMMITTEE (More members to be confirmed soon) - Jane Bambauer (University of Arizona, USA) - Bettina Berendt (Katholieke Universiteit Leuven, Belgium) - Elisa Bertino (CERIAS, Purdue University, USA) - Aleksandra Bujnowska (EUROSTAT, European Union) - Jordi Castro (Universitat PolitËcnica de Catalunya) - Anne-Sophie Charest (UniversitÈ Laval, QuÈbec, Canada) - Chris Clifton (Purdue University, USA) - Graham Cormode (University of Warwick, UK) - Peter-Paul de Wolf (Statistics Netherlands) - Josep Domingo (Universitat Rovira i Virgili, Catalonia) - Joerg Drechsler (IAB, Germany) - Khaled El Emam (University of Ottawa, Canada) - Mark Elliot (Manchester University, UK) - SÈbastien Gambs (UniversitÈ du QuÈbec ‡ MontrÈal) - Sarah Giessing (Destatis, Germany) - Hiroaki Kikuchi (Meiji University, Japan) - Bradley Malin (Vanderbilt University, USA) - Laura McKenna (Census Bureau, USA) - Anna Monreale (Universit‡ di Pisa, Italy) - Krish Muralidhar (The University of Oklahoma, USA) - Anna Oganyan (National Center for Health Statistics, USA) - David Rebollo (Universitat Rovira i Virgili, Catalonia) - Jerry Reiter (Duke University, USA) - Yosef Rinott (Hebrew University, Israel) - Steven Ruggles (University of Minnesota, USA) - Nicolas Ruiz (OECD, European Union) - Pierangela Samarati (University of Milan, Italy) - David S·nchez (Universitat Rovira i Virgili, Catalonia) - Eric Schulte-Nordholt (Statistics Netherlands) - Natalie Shlomo (University of Manchester, UK) - Aleksandra Slavkovic (Penn State University, USA) - Jordi Soria-Comas (Catalan Data Protection Authority, Catalonia) - Tamir Tassa (The Open University, Israel) - Vicenc Torra (National University of Ireland-Maynooth, Ireland) - Lars Vilhuber (Cornell University, USA) PROGRAM CHAIR - Josep Domingo-Ferrer (UNESCO Chair in Data Privacy, Universitat Rovira i Virgili, Catalonia) GENERAL CHAIR - Krishnamurty Muralidhar (The University of Oklahoma, USA) ORGANIZATION COMMITTEE - Joaquin Garcia-Alfaro (Telecom SudParis, France) - Giulia Lombardi (The University of Oklahoma, Italy) - Jesus Manjon (Universitat Rovira i Virgili, Catalonia) - Romina Russo (Universitat Rovira i Virgili, Catalonia) 3. TOPICS OF INTEREST --------------------- Topics of interest include but are not limited to: - New anonymization methods for tabular data - New anonymization methods for microdata (including non-conventional microdata types such as trajectories, graphs, etc.) - Best anonymization practices for tabular data - Best anonymization practices for microdata - Co-utility for privacy preservation - Big data anonymization - Streaming data anonymization - Decentralized anonymization - Balancing data quality and data confidentiality in SDC - Differential privacy and other privacy models - SDC transparency issues - Onsite access centers - Remote access facilities - SDC software - Estimating disclosure risk in SDC - Record linkage methods - Real-life disclosure scenarios in EU-member states and abroad - Privacy preserving data mining (both cryptographic and non-cryptographic) - Private information retrieval - Privacy in web-based e-commerce - Privacy in healthcare - Privacy in official and corporate statistics - Other data anonymization issues 4. SUBMISSIONS -------------- Full papers containing either original technical contributions or high-quality surveys on the above topics or on related topics are sought. Camera-ready versions of accepted papers should be prepared using the LaTeX2estyle or the Word template of Springer Verlag Lecture Notes in ComputerScience. For LaTeX2e, a macro package llncs.zip and an example file typeinst.zip can be downloaded from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…. For Microsoft Word, a template word.zip can be downloaded from the same page above. We encourage authors to use the above formats already for their submissions. LENGTH OF SUBMISSIONS. Using the above format with 11 point font, the paper should be at most 12 pages excluding bibliography and appendices, and at most 16 pages total. Committee members are not required to read appendices; the paper should be intelligible without them. Submissions not meeting these guidelines risk rejection without consideration of their merits. 5. PROCEEDINGS -------------- Among PSD 2020 accepted papers, a selection will be made based on quality and coverage and the selected papers will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. This follows the tradition of the previous PSD conferences. The remaining accepted papers will be published in a USB with an ISBN. It is possible to submit a paper directly for the USB, which benefits from a later submission deadline (see USB-only dates below). The form of publication of an accepted paper will be clearly specified in the acceptance message. Both the LNCS volume and the CD will be *available at the conference*. 6. IMPORTANT DATES ------------------ Submission deadline: **MAY 24, 2020** Acceptance notification: June 26, 2020 Proceedings version due: July 5, 2020 USB-only submission deadline: July 5, 2020 USB-only acceptance notification: July 15, 2020 USB-only proceedings version due: July 22, 2020 Conference: Sep. 23-25, 2020 7. VENUE AND TRAVEL ------------------- The conference will take place at the San Francesco classroom annex of the 'Oklahoma University in Arezzo' facilities, located in the city of Arezzo. OU in Arezzo. San Francesco Classroom annex Piazza San Francesco, 18 Arezzo, Italy 52100 http://www.ou.edu/cis/education_abroad/programs/ou-in-arezzo Further venue, travel and accommodation information will be posted in due course at http://unescoprivacychair.urv.cat/psd2020 A number of travel grants are made available by the UNESCO Chair in Data Privacy, especially for authors and delegates from transition countries. Information on grants is posted in the conference web site. 8. REGISTRATION --------------- Registration information will be posted no later than June 2020 at http://unescoprivacychair.urv.cat/psd2020

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[CFP] 15th Workshop on Workflows in Support of Large-Scale Science (WORKS20)
by Hoang Nguyen 17 Apr '20

17 Apr '20

Apologies if you receive multiple copies of this email! ============================================================ 15th Workshop on Workflows in Support of Large-Scale Science (WORKS20) to be held in conjunction with SC 2020, Sun Nov 15, 9am-5:30pm Atlanta, GA, USA https://works-workshop.org ============================================================ Scientific workflows have been almost universally used across scientific domains and have underpinned some of the most significant discoveries of the past several decades. Workflow management systems (WMSs) provide abstraction and automation which enable a broad range of researchers to easily define sophisticated computational processes and to then execute them efficiently on parallel and distributed computing systems. As workflows have been adopted by a number of scientific communities, they are becoming more complex and require more sophisticated workflow management capabilities. A workflow now can analyze terabyte-scale data sets, be composed of one million individual tasks, require coordination between heterogeneous tasks, manage tasks that execute for milliseconds to hours, and can process data streams, files, and data placed in object stores. The computations can be single core workloads, loosely coupled computations, or tightly all within a single workflow, and can run in dispersed computing platforms. This workshop focuses on the many facets of scientific workflow management systems, ranging from actual execution to service management and the coordination and optimization of data, service, and job dependencies. The workshop covers a broad range of issues in the scientific workflow lifecycle that include: scientific workflows representation and enactment; workflow scheduling techniques to optimize the execution of the workflow on heterogeneous infrastructures; workflow enactment engines that need to deal with failures in the application and execution environment; and a number of computer science problems related to scientific workflows such as semantic technologies, compiler methods, scheduling and fault detection and tolerance. WORKS20 will be held in conjunction with the SuperComputing (SC20), Atlanta, Georgia, USA, at Georgia World Congress Center (GWCC). Topics ------ WORKS20 welcomes original submissions in a range of areas, including but not limited to: * Big Data analytics workflows * Data-driven workflow processing (including stream-based workflows) * Workflow composition, tools, and languages * Workflow execution in distributed environments (including HPC, clouds, and grids) * Reproducible computational research using workflows * Dynamic data dependent workflow systems solutions * Exascale computing with workflows * In Situ Data Analytics Workflows * Interactive workflows (including workflow steering) * Workflow fault-tolerance and recovery techniques * Workflow user environments, including portals * Workflow applications and their requirements * Workflow optimizations (including scheduling and energy efficiency) * Performance analysis of workflows * Workflow debugging * Workflow provenance * Machine Learning workflows Papers should present original research and should provide sufficient background material to make them accessible to the broader community. Important Dates --------------- Full paper deadline: August 15, 2020 Paper acceptance notification: September 15, 2020 E-copyright registration completed by authors: October 1, 2020 Camera-ready deadline: October 1, 2020 Workshop: November 15, 2020 --------------------------------- Submission Guidelines: Full submission will be up to 8 pages long including references. All submitted papers will undergo a rigorous review process and each will have at least three reviews by members of the program committee. Papers will be accepted based on their technical contributions. --------------------------------- Organizing Committee - Rafael Ferreira da Silva, University of Southern California, USA - Rosa Filgueira, University of Edinburgh, UK General Chair - Ian Taylor, Cardiff University, UK, University of Notre Dame, USA Steering Committee - David Abramson, University of Queensland, Australia - Malcolm Atkinson, University of Edinburgh, UK - Ewa Deelman, University of Southern California, USA - Michela Taufer, University of Tennessee Publicity Chair - Hoang Anh Nguyen, University of Queensland, Australia Program Committee (tentative) - Pinar Alper – King's College London, UK - Ilkay Altintas – SDSC, USA - Khalid Belhajjame Universit. Paris-Dauphine, France - Ivona Brandic – TU Wien, Austria - Kris Bubendorfer – VUW, New Zealand - Jesus Carretero – Universidad Carlos III de Madrid, Spain - Henri Casanova – University of Hawaii at Manoa, USA - Rafael Ferreira da Silva – USC/ISI, USA - Daniel Garijo – USC/ISI, USA - Sandra Gesing – University of Notre Dame, USA - Tristan Glatard – Concordia University, Canada - Daniel Katz – UIUC, USA - Tamas Kiss – University of Westminster, UK - Dagmar Krefting – HTW Berlin, Germany - Maciej Malawski – AGH UST, Poland - Anirban Mandal – RENCI, USA - Marta Mattoso – UFRJ, Brazil - Paolo Missier – Newcastle University, UK - Hoang Anh Nguyen, University of Queensland, Australia - Jarek Nabrzyski – University of Notre Dame, USA - Daniel de Oliveira – UFF, Brazil - Ilia Pietri, Intracom SA Telecom Solutions, Greece - Loic Pottier – USC/ISI, USA - Radu Prodan – University of Innsbruck, Austria - Omer Rana – Cardiff University, UK - Ivan Rodero – Rutgers University, USA - Rizos Sakellariou – University of Manchester, UK - Frédéric Suter – CNRS, France - Andrew Stephen Mcgough – Newcastle University, UK - Domenico Talia – University of Calabria, Italy - Douglas Thain – University of Notre Dame, USA - Rafael Tolosana-Calasanz – Universidad de Zaragoza, Spain - Chase Wu – NJ Institute of Technology, USA

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CVML live Web lectures 25th April 2020: 1) Introduction to Autonomous Systems 2) Introduction to Computer Vision
by ioannakoroni＠csd.auth.gr 15 Apr '20

15 Apr '20

Dear Computer Vision/Machine Learning/Autonomous Systems students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece is proud to launch the live CVML Web lecture series that will cover very important topics Computer vision/machine learning. Two lectures will take place on Saturday 25th April 2020: 1) Introduction to Autonomous Systems 2) Introduction to Computer Vision Date/time: a) Saturday 11:00-12:30 EET (17:00-18:30 Beijing time) for audience in Asia and b) Saturday 20:00-21:30 EET (13:00-14:30 EST, 10:00-11:30 PST for NY/LA, respectively) for audience in the Americas. Registration can be done using the link: <http://icarus.csd.auth.gr/cvml-web-lecture-series/> http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lectures abstract 1) Introduction to Autonomous Systems Abstract: Mission planning and control, perception and intelligence, embedded computing, swarm systems, communications and societal technologies. a) autonomous cars, b) drones and drone swarms, c) autonomous underwater vehicles d) autonomous marine vessels and e) autonomous robots. 2) Introduction to Computer Vision Abstract: image/video sampling, Image and video acquisition, Camera geometry, Stereo and Multiview imaging, Structure from motion, Structure from X, 3D Robot Localization and Mapping, Semantic 3D world mapping, 3D object localization, Multiview object detection and tracking, Object pose estimation. Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities. His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 1138 papers, contributed in 50 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 30000+ citations to his work and h-index 81+ (Google Scholar). Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: <https://multidrone.eu/> https://multidrone.eu/ and is principal investigator (AUTH) in H2020 projects Aerial Core and AI4Media. He is chair of the Autonomous Systems initiative <https://ieeeasi.signalprocessingsociety.org/> https://ieeeasi.signalprocessingsociety.org/. Prof. I. Pitas: <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el AIIA Lab <http://www.aiia.csd.auth.gr> www.aiia.csd.auth.gr Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. These two lectures are part of a 14 lecture CVML web course 'Computer vision and machine learning for autonomous systems' (April-June 2020): 1. Introduction to autonomous systems 2. Introduction to computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. 3D object/building/monument reconstruction and modeling 6. Signals and systems. 2D convolution/correlation 7. Motion estimation 8. Introduction to Machine Learning 9. Introduction to neural networks, Perceptron, backpropagation 10. Deep neural networks, Convolutional NNs 11. Deep learning for object/target detection 12. Object tracking 13. Localization and mapping 14. Fast convolution algorithms. CVML programming tools. Sincerely yours Prof. Ioannis Pitas, Director of AIIA Lab, Aristotle University of Thessaloniki, Greece

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Bench'20 (http://www.benchcouncil.org/bench20/index.html) Call for Papers
by gaowanling＠ict.ac.cn 13 Apr '20

13 Apr '20

[Apologies if you receive multiple copies of this CFP] CALL FOR PAPERS ========================================================== 2020 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'20) http://www.benchcouncil.org/bench20/index.html Nov. 14th - Nov. 16th, 2020, Atlanta, Georgia, USA ========================================================== Introduction ---------------- Benchmarking, measuring, and optimizing are fundamental human activities. The organizing committee is pleased to invite you to take part in Bench'20 to be held in Atlanta, Georgia, USA. This symposium (Bench'20) is organized by the International Open Benchmarking Council (BenchCouncil). Bench'20 overlaps with SC 20 (Same place and same time), but it is NOT affiliated with the SC conference. The main themes of Bench'20 are benchmarking, measuring, and optimizing Big Data, AI, Block Chain, HPC, Datacenter, IoT, Edge and other things. The Bench conference has three defining characteristics. First, it provides a highquality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmark community as a whole. Second, it is a multi-disciplinary conference. The past conferences attracted the researchers and practitioners from the architecture, system, algorithms and application communities. Third, it includes both invited sessions and contributed sessions. Regularly, Bench'20 will present the BenchCouncil Achievement Award (3000$), the BenchCouncil Rising Star Award (1000$), and the BenchCouncil Best Paper Award (1000$). As its duty, BenchCouncil incubates, hosts benchmark projects, and further encourages reliable and reproducible research using the benchmarks from BenchCouncil or other organizations. To that end, we present the BenchCouncil Award for Excellence for Reproducible Research to the papers using all publicly available benchmarks. Each paper $100 prize, maximally up to 12 papers: 4 papers for each category of poster, spotlight, and oral. Call for papers ------------------------ Specific topics of interest include, but are not limited to, the following. **Synthetics or Real-world Data Sets of: **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: ** Test 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 -Block chain -Data management and storage -Medicine, Finance and Education Paper Submission ------------------------ Papers must be submitted in PDF. For a full paper, the page limit is 8 pages in standard two-column IEEE conference format or 12 pages in LNCS format, not including references. For a short paper, the page limit is 4 pages in standard twocolumn IEEE conference format or 6 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, the proceeding will be published by Springer LNCS (Indexed by EI). Please note that LNCS format is the final one for publishing. After the acceptance decisions are made, the presentation mode of each paper is determined based on the recommendations as poster, spotlight, or oral. All accepted papers, regardless of presentation mode, appear in the proceedings as full-length papers. At least one author must pre-register for the symposium, and at least one author must attend the symposium to present the paper. Papers for which no author is preregistered will be pulled from the proceedings. Submission site: https://easychair.org/my/conference?conf=bench20# Improtant Dates --------------------- Registration of abstract (non-mandatory) June 15, 2020 Paper Submission July 15, 2020 Acceptance Notification Aug 15, 2020 Awards ---------- At Bench'20, several important awards will be given, which include: * BenchCouncil Achievement Award ($3,000) - 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 Rising Star Award ($1,000) - This award recognizes a junior member who demonstrates outstanding potential for research and practice in benchmarking, measuring, and optimizing. * BenchCouncil Best Paper Award ($1,000) - This award recognizes a paper presented at the Bench conferences, which demonstrates potential impact on research and practice in benchmarking, measuring, and optimizing. * BenchCouncil Award for Excellence for Reproduceable Research (Each paper $100 prize, maximally up to 12 papers: 4 papers for each category of poster, spotlight, and oral) - BenchCouncil incubates, hosts benchmark projects, and further encourages reliable and reproducible research using the benchmarks from BenchCouncil or other organizations. To that end, we present the BenchCouncil Award for Excellence for Reproducible Research to the papers using all publicly available benchmarks. Organization ----------------- General Chairs Jianfeng Zhan (BenchCouncil and Chinese Academy of Sciences) TPC Chairs Wanling Gao (ICT, Chinese Academy of Sciences) Award Committees Lizy Kurian John (The University of Texas at Austin) D. K. Panda (The Ohio State University) Geoffrey Fox (Indiana University) Jianfeng Zhan (BenchCouncil and Chinese Academy of Sciences) Submission Chair Rui Ren (Cyberspace Security Research Institute Co., Ltd.) Publicity Chairs Chen Zheng (Institute of Computing Technology, CAS) Zhen Jia (Amazon) Biwei Xie (ICT, Chinese Academy of Sciences) Technical Program Committee ---------------------------------------- Woongki Baek, UNIST Piotr Luszczek, University of Tennessee Knoxville Khaled Ibrahim, Lawrence Berkeley National Lab Lei Wang, ICT, Chinese Academy of Sciences Vladimir Getov, University of Westminster Gwangsun Kim, POSTECH Hyogi Sim, Oak Ridge National Laboratory Zhen Jia, Amazon Bin Ren, Pacific Northwest National Laboratory Nikhil Jain, Lawrence Livermore National Laboratory Lucas Mello Schnorr, UFRGS Bo Wu, Colorado School of Mines Jungang Xu, College of Computer and Control Engineering,University of Chinese Academy of Sciences Ryan E. Grant, Sandia National Laboratories Huan Liu, Arizona State University Chen Zheng, ICT, Chinese Academy of Sciences Zhihui Du, Tsinghua University Salman Zubair Toor, Uppsala University Arne Berre, SINTEF Todor Ivanov, Frankfurt Big Data Lab, Goethe University Frankfurt Biwei Xie, ICT, Chinese Academy of Sciences Benson Muite, University of Tartu K. Selcuk Candan, Arizona State University Feiyi Wang, Oak Ridge National Laboratory Xiaoyi Lu, The Ohio State University Ben Blamey, Uppsala University Rui Ren, Cyberspace Security Research Institute Co., Ltd. Juby Jose, Intel

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CfP VHPC'20: extension, Zoom Online Event without charge
by Michael Alexander 08 Apr '20

08 Apr '20

==================================================================== CALL FOR PAPERS 15th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 20) held in conjunction with the International Supercomputing Conference - High Performance, June 21-25, 2020, Frankfurt, Germany. (Springer LNCS Proceedings) ==================================================================== Date: June 25, 2020 Workshop URL: vhpc[dot]org Online Zoom Event https://us02web.zoom.us/webinar/register/WN_vC5pwmgbQ6ypJEfyQ8nHIg Physical Event: ISC, Frankfurt Paper Submission Deadline: May 12th, 2020 (extended) Springer LNCS 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. Most recently, Function as a Service (Faas) and Serverless computing, utilizing lightweight VMs-containers widens the spectrum of applications that can be deployed in a cloud environment, especially in an HPC context. Here, HPC-provided services become accessible to distributed workloads outside of large cluster environments. 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 workload orchestration (Kubernetes) - Kubernetes HPC batch - HPC Container Environments Landscape - HW Heterogeneity - Container ecosystem (Docker alternatives) - Networking - Lightweight Virtualization - Unikernels / LibOS - State-of-the-art processor virtualization (RISC-V, EPI) - Containerizing HPC Stacks/Apps/Codes: Climate model containers each major topic encompassing design/architecture, management, performance management, modeling and configuration/tooling. Specifically, we invite papers that deal with the following topics: - HPC orchestration (Kubernetes) - Virtualizing Kubernetes for HPC - Deployment paradigms - Multitenancy - Serverless - Declerative data center integration - Network provisioning - Storage - OCI i.a. images - Isolation/security - HW Accelerators, including GPUs, FPGAs, AI, and others - State-of-practice/art, including transition to cloud - Frameworks, system software - Programming models, runtime systems, and APIs to facilitate cloud adoption - Edge use-cases - Application adaptation, success stories - Kubernetes Batch - Scheduling, job management - Execution paradigm - workflow - Data management - Deployment paradigm - Multi-cluster/scalability - Performance improvement - Workflow / execution paradigm - Podman: end-to-end Docker alternative container environment & use-cases - Creating, Running containers as non-root (rootless) - Running rootless containers with MPI - Container live migration - Running containers in restricted environments without setuid - Networking - Software defined networks and network virtualization - New virtualization NICs/Nitro alike ASICs for the data center? - Kubernetes SDN policy (Calico i.a.) - Kubernetes network provisioning (Flannel i.a.) - Lightweight Virtualization - Micro VMMs (Rust-VMM, Firecracker, solo5) - Xen - Nitro hypervisor (KVM) - RVirt - Cloud Hypervisor - Unikernels / LibOS - HPC Storage in Virtualization - HPC container storage - Cloud-native storage - Hypervisors in storage virtualization - Processor Virtualization - RISC-V hypervisor extensions - RISC-V Hypervisor ports - EPI - Composable HPC microservices - Containerizing Scientific Codes - Building - Deploying - Securing - Storage - Monitoring - Use case for containerizing HPC codes: Climate model containers for portability, reproducibility, traceability, immutability, provenance, data & software preservation 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 12th, 2020 - Paper submission deadline - extended (Springer LNCS) Apr 26th, 2020 - Acceptance notification June 25th, 2020 - Workshop Day July 10th, 2020 - Camera-ready version due Chair Michael Alexander (chair), BOKU, Vienna, Austria Anastassios Nanos (co-chair), Sunlight.io, UK Program committee Stergios Anastasiadis, University of Ioannina, Greece Paolo Bonzini, Redhat, Italy 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 François Diakhaté CEA DAM Ile de France, France Kyle Hale, Northwestern University, USA Brian Kocoloski, Washington University, USA Simon Kuenzer, NEC Laboratories Europe, Germany John Lange, University of Pittsburgh, USA Giuseppe Lettieri, University of Pisa, Italy Klaus Ma, Huawei Technologies, China Alberto Madonna, Swiss National Supercomputing Center, Switzerland Nikos Parlavantzas, IRISA, France Anup Patel, Western Digital, USA Kevin Pedretti, Sandia National Laboratories, USA Amer Qouneh, Western New England University, USA Carlos Reaño, Queen’s University Belfast, UK Adrian Reber, Redhat, Germany Riccardo Rocha, CERN, Europe Borja Sotomayor, University of Chicago, USA Jonathan Sparks, Cray, USA Kurt Tutschku, Blekinge Institute of Technology, Sweden John Walters, USC ISI, USA Yasuhiro Watashiba, Osaka University, Japan Chao-Tung Yang, Tunghai University, Taiwan 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. Abstract, Paper Submission Link: edas[dot]info/newPaper.php?c=26973 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 21-25, Frankfurt, Germany.

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IEEE BigData 2020 Call for Workshop Proposal Deadline: April 20, 2020
by CFP Conference 07 Apr '20

07 Apr '20

*IEEE Big Data 2020 Call for Workshop Proposals* 2020 IEEE International Conference on Big Data (IEEE BigData 2020) http://bigdataieee.org/BigData2020/index.html December 10-13, 2020, Atlanta, GA, USA ================================================================= The Program Committees of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020) invite proposals for Workshops. Selected workshops will hold a central position within the larger conference, which will bring together top academic and industrial researchers from all over the world to exchange cutting edge research ideas in Big Data research, development and practice. Within these fields, workshops at Big Data form crucial focal points for emerging communities and forums for the examination of new ideas. Here are a summary of the conferences in the previous years: The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data. 1. The first conference IEEE Big Data 2013 ( http://bigdataieee.org/BigData2013/ regular paper acceptance rate: 17.0%) was held in Santa Clara, CA from Oct 6-9, 2013 with more than 400 registered participants from 40 countries. 2. The IEEE Big Data 2014 (http://bigdataieee.org/BigData2014/, regular paper acceptance rate: 18.5.0%) was held in Washington DC, Oct 27-30, 2014 with more than 600 registered participants from 45 countries. 3. The IEEE Big Data 2015 (http://bigdataieee.org/BigData2015/ , regular paper acceptance rate: 16.8%) was held in Santa Clara, Oct 29-Nov 1, 2015 with more than 780 registered participants from 49 countries. 4. The IEEE Big Data 2016 ( http://bigdataieee.org/BigData2016/ , regular paper acceptance rate: 18.7%) was held in Washington DC, Dec 5-8, 2016 with close to 900 registered participants from 43 countries. 5. The IEEE Big Data 2017 ( http://bigdataieee.org/BigData2017/, regular paper acceptance rate: 17.8%) was held in Boston, MA, Dec 11-14, 2017 with close to 1000 registered participants from 50 countries. 6. The IEEE Big Data 2018 ( http://bigdataieee.org/BigData2018/ , regular paper acceptance rate: 19.7%) was held in Seattle, WA, Dec 10-13, 2018 with close to 1100 registered participants from 47 countries. 7. The IEEE Big Data 2019 ( http://bigdataieee.org/BigData2019/ , regular paper acceptance rate: 18.7%) was held in Los Angeles, CA, Dec 9-12, 2019 with close to 1200 registered participants from 54 countries. The 2020 IEEE International Conference on Big Data (IEEE BigData 2020) will continue the success of the previous IEEE Big Data conferences. It will provide a leading forum for disseminating the latest research in Big Data Research, Development, and Applications. Workshop organizers will be responsible for advertising the workshop, forming the program committees, reviewing and selecting the papers, and guaranteeing a high quality worthy of the prestige and breadth of the Conference. All papers accepted for workshops will be included in the Workshop Proceedings published by the IEEE Computer Society Press, made available at the Conference. The workshop organizers will also have the discretion of editing selected papers (after their expansion and revision) into books or special journal issues. Workshops should cover at least a single session (6 regular papers). The workshop organizers should ensure registration and presence of authors of accepted papers. *Workshop Topics* Each workshop subject will focus on new research challenges and initiatives in Big Data. The workshops should provide an informal and vibrant forum for researchers and industry practitioners to share their research results and practical development experiences in Big Data research, development and practice. Workshop topics may be narrow, e.g., Clouding Computing/Grid Computing/Stream Computing for Big Data; Big Data stream Mining, Big Graph Data Mining, or broad, e.g., Big Data Foundations , Big Data management, Big Data Mining and Searching, Big Data Privacy and Security, Hardware/OS Acceleration for Big Data, Big Data Application, etc (Pls refer to the IEEE Big Data 2020 http://bigdataieee.org/BigData2020/index.html for more possible workshop topics). Prospective workshop organizers are encouraged to contact workshop chairs for feedback. *Important Dates* April 20, 2020 Workshop proposal submission due - submit to: https://wi-lab.com/cyberchair/2020/bigdata20/scripts/submit.php?subarea=ProW May 1, 2020: Notification to workshop proposers June 1, 2020: Each workshop organizer sends out Call for Workshops Papers *Guidelines for Workshop Proposals* Proposals for 2020 IEEE Big Data Workshops should contain the following components. 1. Workshop Title (e.g., Visualization and Analytics for Big Data) 2. Introduction to workshop (a few sentences about the background, importance, purpose, interests, etc. of workshop) 3. Research topics included in the workshop (list a number of interesting topics or areas covered by workshop) 4. Important dates (These dates are for your reference except the Camera-ready submission date, Please do not change the camera-ready date) *Oct 1, 2020:* Due date for full workshop papers submission *Nov 1, 2020:* Notification of paper acceptance to authors *Nov 15, 2020:* Camera-ready of accepted papers *Dec 10-13 2020:* Workshops 5. Program Chairs or co-chairs: (1-3 experts in the research areas of workshop) 6. Program Committee Members: (at least 5 experts in the research areas) 7. Invited keynote speakers (optional) *Workshop Proposal Submission:* https://wi-lab.com/cyberchair/2020/bigdata20/scripts/submit.php?subarea=ProW *Workshop Co-Chairs* Prof. Eyhab AI-Masri, University of Washington, USA, ealmasriu(a)gmail.com Prof. Zhiyuan Chen, University of Maryland at Baltimore County, USA, zhchen(a)umbc.edu Prof. Jeff Saltz, Syracuse University, USA, jeffrey.s.saltz(a)gmail.com ######################################################################## To unsubscribe from the BIGDATA list, click the following link: http://lists.drexel.edu/cgi-bin/wa?TICKET=NzM3NTUxIGNvbXB1dGF0aW9uYWwuc2NpZ…

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Call for Papers -International Conference on Machine learning and Cloud Computing (MLCL 2020)
by Rohlupuia Pachuau 06 Apr '20

06 Apr '20

International Conference on Machine learning and Cloud Computing (MLCL 2020)June 20~21, 2020, Dubai, UAEhttps://csita2020.org/mlcl/index.html ScopeInternational Conference on Machine learning and Cloud Computing (MLCL 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Cloud computing. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.This conference aims to bring together researchers and practitioners in all aspects of machine learning and cloud-centric and outsourced computing, including (but not limited to):Topics of interest include, but are not limited to, the following* Case Studies and Theories in Cloud Computing* Cloud Application, Infrastructure and Platforms* Cloud Applications in Vertical Industries* Cloud Based, Parallel Processing* Cloud Business* Cloud Computing Architecture* Cloud Storage and File Systems* Consolidation* Data storage and Management in Cloud Computing* Design Tool for Cloud Computing* Energy Management and Programming Environments* Location Based Services, Presence, Availability, and Locality* Machine Learning Applications* Machine Learning in knowledge-intensive systems* Machine Learning Methods and analysis* Machine Learning Problems* Machine Learning Trends* Maintenance and Management of Cloud Computing* Mobile Clouds for New Millennium, Mobile Devices* Networks within Cloud systems, the Storage Area, and to the Outside Virtualization in the Context of Cloud Computing* NoSQL Data Stores* Performance, SLA Management and Enforcement* Platforms* Resource Provisioning* Security Techniques for the Cloud* Service-Oriented Architecture in Cloud Computing* Social Clouds (Social Networks in the Cloud)* System Integration, Virtual Compute Clusters* The Open Cloud: Cloud Computing and Open Source* Virtualization on Platforms in the CloudPaper SubmissionAuthors are invited to submit papers through the conference Submission System by April 12, 2020. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Important Dates* Submission Deadline : April 12, 2020* Authors Notification : May 20, 2020* Registration & Camera-Ready Paper Due :May 28, 2020Contact us : Here's where you can reach us : mlcl(a)csita2020.org (or) mlclconf(a)yahoo.com

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CFP: Research Book, Springer publisher. HPC, Scientific Computing, Cloud, cluster, ... (USA); Deadline: April 25
by cs＠american-cse.org 03 Apr '20

03 Apr '20

Dear subscribers of computational.science listserv: We believe that the appended announcement is of interest to the subscribers. Please share with those who would be interested. Thank you. Rob --- CALL FOR PAPERS (Topics: HPC, Scientific Computing, Cloud, ...) Publisher: SPRINGER NATURE ALL ACCEPTED PAPERS WILL BE PUBLISHED BY SPRINGER NATURE in BOOK SERIES: Transactions on Computational Science & Computational Intelligence https://www.springer.com/series/11769 Paper Submission Deadline (EXTENDED): April 25, 2020 All accepted papers will be published by Springer Nature in book series: Transactions on Computational Science & Computational Intelligence. The books will be widely disseminated (to over 1,000 libraries and to 1,000's of individuals). It should be noted that publication of papers in research books would permit each paper to be quite comprehensive (if need be) and so the publication value would be comparable to journal publications; and so would be listed as such in the list of research contribution. Our set of previous published books by Springer received the top 25% downloads in their respective topics with many papers receiving over 100 citations (some received over 700 citations). PDPTA 2020: The 26th International Conference on Parallel & Distributed Processing Techniques & Applications https://americancse.org/events/csce2020/conferences/pdpta20 CSC 2020: The 18th International Conference on Scientific Computing https://americancse.org/events/csce2020/conferences/csc20 MSV 2020: The 17th International Conference on Modeling, Simulation and Visualization Methods https://americancse.org/events/csce2020/conferences/msv20 GCC 2020: The 16th International Conference on Grid, Cloud, and Cluster Computing https://americancse.org/events/csce2020/conferences/gcc20 Co-Located: July 27-30, 2020, Luxor (MGM), Las Vegas, USA In case of hesitation by some authors/speakers to travel during Year 2020 (due to Coronavirus), the CSCE Steering Committee has developed a policy for Non-Attendance. In summary, for Year 2020, the non-attendance by any registered author would not negatively impact the publication of his/her paper. Having said the above, based on a survey conducted recently, we anticipate that all (or the vast majority) of speakers/authors to physically attend the CSCE 2020 Congress in late July. For more information see: the NON-ATTENDANCE POLICY: https://americancse.org/events/csce2020/non_attendance_policy KEYNOTE LECTURES AND TUTORIALS: There will be between 10 and 15 Keynote lectures and Invited Talks; speakers include world-renowned scientists and educators. Featured Keynote Speakers in recent years have included: - Prof. David A. Patterson (pioneer, architecture, UC Berkeley) - Prof. Ian Foster (known as Father of Grid Computing; U. of Chicago & ANL) - Prof. John Koza (known as Father of Genetic Programming; Stanford U.) - Prof. Barry Vercoe (Founding member of MIT Media Lab, MIT) - Dr. K. Eric Drexler (known as Father of Nanotechnology) - Dr. Jose L. Munoz (NSF Program Director and CTO of NSF Office of Cyber-infrastructure) - Prof. Michael J. Flynn (Stanford U.; known for Flynn's taxonomy) - Dr. Firouz Naderi (former Head of NASA Mars Exploration Program; former Administrator and/or Director of Jet Propulsion Lab, CalTech/NASA; NASA's JPL Solar System Exploration - Prof. Ruzena Bajcsy (pioneer, VR, UC Berkeley) - Prof. Viktor K. Prasanna (pioneer, U. of Southern California) - Prof. David Lorge Parnas (pioneer of software engineering) - Prof. Eugene H. Spafford (Executive Director, CERIAS and Professor, Purdue University) - Prof. Haym Hirsh (Dean, Cornell University & former NSF admin) - Prof. H. J. Siegel (Abell Endowed Chair Distinguished Professor of ECE and Professor of CS; Director, CSU Information Science and Technology Center (ISTeC), Colorado State University, Colorado, USA) - Prof. Amit Sheth (LexisNexis Eminent Scholar; Founder/Executive Director, Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis)) - Prof. John H. Holland (known as Father of Genetic Algorithms; U. of Michigan) - Prof. Lotfi A. Zadeh (Father of Fuzzy Logic, UC Berkeley) - Dr. Leonid I. Perlovsky (Harvard University and CEO LP Information Tech) - Dr. James A. Crowder (Chief Engineer, Raytheon Intelligence) - Prof. Diego Galar (Director & Pro-Vice-Chancellor, Lulea University of Technology, Sweden) - and over 200 other distinguished speakers. The Congress is among the top five largest international annual gathering of researchers in computer science, computer engineering and applied computing. We anticipate to have attendees from about 75 countries and territories. To get a feeling about the conferences' atmosphere, see some delegates photos available at (over 2,000 photos): https://photos.ucmss.com/ https://americancse.org/photo-gallery/index-html INTRODUCTION: In order to leverage synergy between various CS & CE fields, the program committees of PDPTA, CSC, MSV, GCC conferences have their 2020 events held at one venue (same location and dates). This joint research event is composed of a number of tracks (joint-conferences, tutorials, sessions, workshops, poster and panel discussions); all will be held simultaneously, same location and dates: July 27-30, 2020. For the complete list of joint conferences, refer to: https://www.americancse.org/events/csce2020 We anticipate having between 1,000 and 2,000 participants in the Congress. The congress includes 20 major tracks ( https://www.americancse.org/events/csce2020 ) composed of: 122 technical, research, and panel sessions as well as a number of keynote lectures and tutorials; all will be held simultaneously, same location and dates: July 27-30, 2020. Last year, the Congress had attracted speakers/authors and participants affiliated with over 158 different universities (including many from the top 50 ranked institutions), major IT corporations (including: Microsoft, Google, Apple, SAP, Facebook, Oracle, Amazon, Yahoo, Samsung, IBM, Ebay, GE, Siemens, Philips, Ericsson, BAE Systems, Hitachi, NTT, Twitter, Uber Technologies, ...), major corporations (including: Exxon Mobil, Johnson & Johnson, JPMorgan Chase, PetroChina, GlaxoSmithKline, HSBC, Airbus, Boeing, Hyundai, Goldman Sachs, Deutsche Bank, ...), government research agencies (NSF, NIH, DoE, US Air Force, NSA National Security Agency, Central Intelligence Agency, ...), US national laboratories (including, NASA National Aeronautics and Space Administration, ANL Argonne National Lab, Sandia National Lab, ORNL Oak Ridge National Lab, Lawrence Berkeley National Lab, Lawrence Livermore National Lab, Los Alamos National Lab, Pacific Northwest National Lab, ...), and a number of Venture Capitalists as well as distinguished speakers discussing Intellectual Property issues. Last year, 54% of attendees were from academia, 25% from industry; 20% from government and funding agencies; and 1% unknown. About half of the attendees were from outside USA; from 69 nations. SUBMISSION OF PAPERS: https://american-cse.org/ Publisher: Springer Nature - Book Series: Transactions on Computational Science & Computational Intelligence Book Title: Advances in Parallel & Distributed Processing, & Applications Indexation: Subject to Springer science indexation which includes: online Springer Link (link.springer.com/) Scopus (www.info.scopus.com) SCI Compendex, EI Compendex (www.ei.org) EMBASE, Web of Science, Inspec, ACM digital library, Google Scholar, EBSCO, and others. Prospective authors are invited to submit their papers by uploading them to the evaluation web site at: https://american-cse.org/ Submissions must be uploaded by the due date (see IMPORTANT DATES) and must be in either MS doc or pdf formats (maximum of 10 pages for Regular Research Papers; maximum of 6 pages for Short Research Papers; and maximum of 3 pages for Extended Abstract/Poster Papers - the number of pages includes all figures, tables, and references). ALL REASONABLE TYPESETTING FORMATS ARE ACCEPTABLE (many authors use Springer's one-column style format for their submissions or IEEE style format: later, the authors of accepted papers will be asked to follow a particular typesetting format to prepare their final papers for publication). Papers must not have been previously published or currently submitted for publication elsewhere. The first page of the paper should include the followings: - Title of the paper - Name, affiliation, postal address, and email address of each author (identify the name of the Contact Author) - Abstract (between 100 and 120 words) - A maximum of 5 topical keywords that would best represent the work described in the paper - Write the type of the submission as "Regular Research Paper", "Short Research Paper", or "Extended Abstract/Poster Paper". - The actual text of the paper can start from the first page (space permitting). Submissions are to be uploaded to the submission/evaluation web site portal at https://american-cse.org/ Type of Submissions/Papers: - Full/Regular Research Papers (maximum of 10 pages): Regular Research Papers should provide detail original research contributions. They must report new research results that represent a contribution to the field; sufficient details and support for the results and conclusions should also be provided. The work presented in regular papers are expected to be at a stage of maturity that with some additional work can be published as journal papers. - Short Research Papers (maximum of 6 pages): Short Research Papers report on ongoing research projects. They should provide overall research methodologies with some results. The work presented in short papers are expected to be at a stage of maturity that with some additional work can be published as regular papers. - Extended Abstract/Poster Papers (maximum of 3 pages): Poster papers report on ongoing research projects that are still in their infancy (i.e., at very early stages). Such papers tend to provide research methodologies without yet concrete results. Each paper will be peer-reviewed by two experts in the field for originality, significance, clarity, impact, and soundness. In cases of contradictory recommendations, a member of the conference program committee would be charged to make the final decision (accept/reject); often, this would involve seeking help from additional referees. Papers whose authors include a member of the conference program committee will be evaluated using the double-blinded review process. (Essay/philosophical papers will not be refereed but may be considered for discussion/panels). IMPORTANT DATES: April 25: 2020: Submission of papers: https://american-cse.org/ - Full/Regular Research Papers (maximum of 10 pages); - Short Research Papers (maximum of 6 pages); - Abstract/Poster Papers (maximum of 3 pages) May 08, 2020: Notification of acceptance (+/- two days) May 22, 2020: Final papers + Copyright + Registration July 27-30, 2020: PDPTA 2020: The 26th International Conference on Parallel & Distributed Processing Techniques and Applications + CSC 2020: The 18th International Conference on Scientific Computing + MSV 2020: The 17th International Conference on Modeling, Simulation & Visualization Methods + GCC 2020: The 16th International Conference on Grid, Cloud, and Cluster Computing https://www.americancse.org/events/csce2020 CONTACT: Questions and inquiries should be sent to: Conference Secretariat: cs(a)american-cse.org

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[Changes to deadline] Graphical Models for Security (GraMSec 2020) - CFP
by Barbara Fila (Kordy) 01 Apr '20

01 Apr '20

GraMSec 2020: The Seventh International Workshop on Graphical Models for Security http://gramsec.uni.lu June 22, 2020 *Online event* Co-located with CSF 2020 *LNCS post-proceedings confirmed* SCOPE The use of graphical security models to represent and analyse the security of systems has gained an increasing research attention over the last two decades. Formal methods and computer security researchers, as well as security professionals from the industry and government, have proposed various graphical security models, metrics, and measurements. Graphical models are used to capture different security facets and address a range of challenges including security assessment, automated defence, secure services composition, security policy validation, and verification. The International Workshop on Graphical Models for Security is an established scientific event dedicated to study and exchange of experiences on graphical security and safety modelling. TOPICS This year, we encourage excellent submissions related, but not restricted, to the following broad headings: 1. Graph representations: mathematical, conceptual, and implemented tools for describing and reasoning about security and safety 2. Logical approaches: formal logical tools for representing and reasoning about graphs and their use as modelling tools in security 3. Machine learning: modelling and reasoning about the role of big data and machine learning in security operations 4. Networks in national security: terrorist networks, counter-terrorism networks; safety in national infrastructure (e.g., utilities and transportation) 5. Risk analysis and management: models and graphical methodologies for security and privacy risk management in business and organisational architectures 6. Social networks: using and reasoning about social graphs, network analysis, network protocols, social mapping, sociometry. 7. Semantics: developing or studying semantic approaches to graph-based models used in security like set theoretic models, categorical models, logical models, etc. 8. Threat modelling: modelling and analysing software systems security, models for DevSecOps, etc. 9. Security requirements: models and tools for describing and analysing requirements on system security and privacy. 10. Visual security: modelling and analytics for security visualisations. 11. Secure systems: safe and secure system design, quantification of security/safety, models for system security/safety evaluation. We welcome a broad range of contributions: from theory to tools and experience reports. Preference will be given to papers likely to stimulate high-quality debate at the Workshop. SUBMISSION GUIDELINES We solicit two types of submissions: - Regular papers (up to 18 pages, excluding the bibliography and well-marked appendices) describing original and unpublished work within the scope of the workshop. - Short papers (up to 10 pages, excluding the bibliography and well-marked appendices) describing original and unpublished work in progress. The reviewers are not required to read the appendices, so the papers should be intelligible without them. All submissions must be prepared using the LNCS style. Each paper will undergo a thorough review process. Submissions should be made using the GraMSec 2020 EasyChair website: https://easychair.org/conferences/?conf=gramsec2020. PUBLICATION As in previous editions, we the post-proceedings will be published in the Lecture Notes in Computer Science (LNCS) series, published by Springer. Proceedings will be published after the workshop, thus permitting the authors to incorporate feedback. VENUE Due to the current coronavirus outbreak, the IEEE CSF Symposium and its associated workshops, including GraMSec, will be held online this year. Details about registration and participation will be soon made available. IMPORTANT DATES Given the situation and the fact that the workshop will be held online, we will keep only one submission deadline. - Paper submissions due: Friday, April 24, 2020 - Notifications: Friday, May 29, 2020 - Workshop: Monday, June 22, 2020 - Camera ready versions due: Friday, August 7, 2020 PROGRAM CHAIRS Harley Eades III, Augusta University, United States of America Olga Gadyatskaya, Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands STEERING COMMITTEE Sushil Jajodia, George Mason University, United States of America Barbara Fila, INSA Rennes, IRISA, France Sjouke Mauw, University of Luxembourg, Luxembourg Christian W. Probst, Unitec, New Zealand Ketil Stølen, SINTEF Digital and University of Oslo, Norway PUBLICITY CHAIR Barbara Fila, INSA Rennes, IRISA, France WEB CHAIR Reynaldo Gil Pons, University of Luxembourg, Luxembourg

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