April 2020 - computational.science

Call for Papers: ScalA@SC 2017 - Papers due August 28
by Engelmann, Christian 04 Nov '20

04 Nov '20

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA’17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with ACM SIGHPC November 13, 2017, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2017> Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems. Submission Guidelines Authors are invited to submit manuscripts in English structured as technical papers not exceeding 8 letter size (8.5in x 11in) pages including figures, tables, and references using the ACM format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.acm.org/sigs/publications/proceedings-templates>. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. 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. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop program chair for more information. Papers should be submitted electronically at: <https://easychair.org/conferences/?conf=scala17>. Full papers will be published with the SC'17 workshop proceedings in the ACM Digital Library and IEEE Xplore. Selected papers will be invited for an extended version in a special issue of the Journal of Computational Science (JoCS). Important Dates - Full paper submission: August 28, 2017 - Notification of acceptance: September 11, 2017 - Final paper submission (firm): October 9, 2017 - Workshop/conference early registration: TBD - Workshop: November 13, 2017 Topics of interest include, but are not limited to: - Novel scientific algorithms that improve performance, scalability, resilience, and power efficiency - Porting scientific algorithms and applications to many-core and heterogeneous architectures - Performance and resilience limitations of scientific algorithms and applications at scale - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - Zizhong Chen, University of California, Riverside, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Christian Engelmann, Oak Ridge National Laboratory, USA - Wilfried Gansterer, University of Vienna, Austria - Michael Heroux, Sandia National Laboratories, USA - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - Ron Perrot, University of Oxford, UK - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. R&D Staff Scientist Computer Science Research Group Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov / Home: www.christian-engelmann.info

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CFP and Workshops: 10th ICTH 2020 to be held in Madeira, Portugal - 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare
by MOHAMMED MOHAMMED FATTAH 30 Apr '20

30 Apr '20

[Please accept our apologies if you receive multiple copies of this CFP] *The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH)* *Date*: November 2-5, 2020 *Location*: Madeira, Portugal *Website*: http://cs-conferences.acadiau.ca/icth-20/ *Important Dates*--------------- - *Workshop Proposals*: May 30, 2020 - *Paper Submission Due*: June 15, 2020 - *Author Notification*: August 2, 2020 - *Final Manuscript Due*: August 30, 2020 *Publication* ----------- All ICTH 2020 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) and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (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) and Engineering Village (Ei) (www.engineeringvillage.com) This includes EI Compendex (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. Selected papers will be invited for publication, in the special issues of: - International Journal of Ambient Intelligence and Humanized Computing (IF: 1.901), by Springer ( http://www.springer.com/engineering/journal/12652) - International Journal of Computing and Informatics (IF: 0.524), ( http://www.cai.sk/ojs/index.php/cai/index) - International Journal of E-Health and Medical Communications, by IGI Global: ( http://www.igi-global.com/journal/international-journal-health-medical-comm… ) ICTH 2020 will be held in conjunction with the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSN: http://cs-conferences.acadiau.ca/euspn-20/) Papers on either completed or ongoing research are invited: http://cs-conferences.acadiau.ca/icth-20/call-for-papers.html ICTH 2020 will be held in Madeira, a Portuguese archipelago. Madeira is a popular year-round tourist destination, known for its remarkable mountainous scenery and mild year-long climate. Although, Madeira is part of Europe it is approximately 1,000 km from the continent while being only 520 km from the coast of Africa. It is about an hour and a half flight from the capital of Portugal, Lisbon. Funchal, the picturesque capital of Madeira, is situated on the south coast of the island and one of Atlantic Oceans most popular cruise ship ports. Madeira is a scenic island with many unique destinations such as the Laurisilva forest, a UNESCO World Heritage site. *Topics of interest include, but are not limited to*: ------------------------------------------- - Ambient Assisted Living for Elderly Care - Ambient Intelligence and Intelligent Service Systems - Analysis and Evaluation of Healthcare Systems - Clinical Data and Knowledge Management - Cloud Computing for Healthcare - Collaboration Technologies for Healthcare - Context-aware Applications for Patient Monitoring and Care - Data mining Techniques and Data Warehouses in Healthcare - Data Visualization - Decision Support Systems in Healthcare - Design and Development Methodologies for Healthcare Systems - Diagnostic and Therapeutic Technologies in Healthcare - Digital Hospitals - Drug Information Systems - E-health & m-health - Electronic Health Records (EHR) & Personal Health Records (PHR) - Evidence Based Medicine (EBM) - Healthgrids - Health Portals - Information and Knowledge Processing in Healthcare Environments - Middleware Support for Smart Homes and Intelligent Applications - Quantified Self for Pervasive Healthcare - Privacy, Confidentiality and Security Issues in Healthcare Systems - Related Real World Experimentations and Case Studies in Healthcare - RFID Solutions for Healthcare - Smart Homes and Home Care Intelligent Environments - Telemedicine and Health Telematics - Ubiquitous and Pervasive Computing in Healthcare - Usability & Socio Technical studies - User Interface Design for Healthcare Applications - Virtual and Augmented Reality in Healthcare - Virtual Environments for Healthcare *Committees* ---------- General Chairs Heiko Gewald, The Neu-Ulm University of Applied, Germany Joel J. P. C. Rodrigues, National Institute of Telecommunications (Inatel), Brazil Program Chairs Stéphane Galland, Université de Technologie de Belfort-Montbéliard, France Nuno Varandas, F6S (Where Founders Grow Together), Portugal Local Arrangements Chairs Rui Neves Madeira, Polytechnic Institute of Setúbal, Portugal Nelson Rocha, University of Aveiro, Portugal Workshops Chair Haroon Malik, Marshall University, USA International Journals Chair Bin Guo, Northwestern Polytechnical University, China Publicity Chairs Sony Guntuka, Acadia University, Canada Mohammed Fattah, Moulay Ismail University, Morocco Technical Program Committee http://cs-conferences.acadiau.ca/icth-20/program-committees.html Steering Committee Chair Elhadi Shakshuki, Acadia University, Canada Advisory Committee Abdullah Ali Al-Maniri, Oman Medical Specialty Board, Oman Sergio Camorlinga, Head eHealth Research, TRLabs, Canada Kevin Daimi, University of Detroit Mercy, USA Finn Kensing, University of Copenhagen, Denmark Francesco Princiroli, Politecnico di Milano, Italy Abdul Roudsari, University of Victoria, Canada

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CFP: Resilience@Euro-Par 2020 - Papers due May 29
by Thomas Naughton 30 Apr '20

30 Apr '20

We apologize if you receive multiple copies of this call for papers. -------------------------------------------------------------------------------- 13th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <https://www.csm.ornl.gov/srt/conferences/Resilience/2020> in conjunction with the 26th International European Conference on Parallel and Distributed Computing (Euro-Par), Warsaw, Poland August 24 - 28, 2020 <http://2020.euro-par.org> 2020 Workshop Format: Due to the exceptional situation of COVID-19, this year Euro-Par and its workshops will be organized as an all-virtual event. This includes the main conference and workshops. The accepted workshop papers must be presented by one of the authors in order to be included in the proceedings. There will be a single minimal registration fee for each accepted paper in order to cover expenses associated with organization and proceedings publication. Lastly, the preferred presentation format for the workshop will be via a streaming presentation, with slides and pre-recorded video presentations used in exceptional situations. Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), hardware complexity increases (such as due to heterogeneous computing) and software complexity increases (such as due to complex data- and workflows, real-time requirements and integration of artificial intelligence (AI) technologies with traditional applications). Correctness and execution efficiency, in spite of faults, errors, and failures, is essential to ensure the success of the HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. The impact of faults, errors, and failures in such HPC systems can range from financial losses due to system downtime (sometimes several tens-of-thousands of Dollars per lost system-hour), to financial losses due to unnecessary overprovision (acquisition and operating costs), to financial losses and legal liabilities due to erroneous or delayed output. The emergence of AI technology opens up new possibilities, but also new problems. Using AI technology for operational intelligence that enables resilience in HPC systems and centers is a complex control problem, while designing resilient AI technology for HPC applications is a difficult algorithmic problem. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, error/failure and anomaly detection, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient algorithms. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and BETWEEN 10 AND 12 PAGES, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with less than 10 or more than 12 pages will not be accepted due to publisher guidelines. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. 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 or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2020 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2020> - Resilience 2020 Submissions: <https://easychair.org/conferences/?conf=europar2020workshop> - Euro-Par 2020 website: <http://2020.euro-par.org> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Experience reports - Error/failure/anomaly detection and reliability/dependability modeling: - Statistical analyses - Machine learning and artificial intelligence - Digital twins - Data collection and aggregation - Information visualization - Monitoring and control for resilience: - Center, system and application monitoring and control - Reliability, availability, serviceability and performability - Tunable fidelity and quality of service - Automated response and recovery - Operational intelligence to enable resilience - End-to-end integrity: - Fault tolerant design of centers, systems and applications - Forward migration and verification - Degraded operation - Error propagation, failure cascades, and error/failure containment - Testing and evaluation, including fault/error/failure injection - Enabling infrastructure for resilience: - Reliability, availability, serviceability systems - System software and middleware - Resilience extensions for programming models - Tools and frameworks - Support for resilience in heterogeneous architectures - Resilient algorithms: - Algorithmic detection and correction - Resilient solvers and algorithm-based fault tolerance - Fault tolerant numerical methods - Robust iterative algorithms - Resilient artificial intelligence Important Dates: - Workshop papers due: May 29, 2020 - Workshop author notification: July 3, 2020 - Workshop author registration: TBA - Workshop paper (for informal workshop proceedings): July 10, 2020 - Workshop date: August 24 or 25, 2020 - Workshop camera-ready papers: September 11, 2020 (after the conference) General Co-Chairs: - Stephen L. Scott Tennessee Tech University, USA scottsl(a)ornl.gov - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc(a)ornl.gov Program Co-Chairs: - Ferrol Aderholdt Middle Tennessee State University, USA ferrol.aderholdt(a)mtsu.edu - Thomas Naughton Oak Ridge National Laboratory , USA naughtont(a)ornl.gov Workshop Chair Emeritus - Chokchai (Box) Leangsuksun Louisiana Tech University, USA box(a)latech.edu _________________________________________________________________________ Thomas Naughton naughtont(a)ornl.gov Research Associate (865) 576-4184

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Graphical Models for Security (GraMSec 2020) - Deadline extended until May 4
by Barbara Fila (Kordy) 22 Apr '20

22 Apr '20

*The GraMSec submission deadline is extended to Monday, May 4.* Please find below the full CFP. ====================================================================== 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: Monday, May 4, 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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[KDD Mining and Learning from Time Series 2020]: Call for papers
by Sanjay Purushotham 19 Apr '20

19 Apr '20

[KDD Mining and Learning from Time Series 2020]: Call for papers CFP Webpage: https://kdd-milets.github.io/milets2020/#call -------------------------------------------------------------- KDD Mining and Learning from Time Series (MiLeTS) 2020 Aug 24th, 2020 - San Diego, California, USA https://kdd-milets.github.io/milets2020/ -------------------------------------------------------------- ---------------- KEY DATES ---------------- Paper Submission Deadline: May 20th, 2020, 11:59PM Alofi Time Author Notification: June 15th, 2020 Camera Ready Version: July 2nd, 2020 Workshop: August 24th, 2020 -------------------------------------------------------------- MiLETS is the premier KDD workshop on Mining and Learning from Time Series. Time series data are ubiquitous. In domains as diverse as finance, entertainment, transportation, and health care, we observe a fundamental shift away from parsimonious, infrequent measurement to nearly continuous monitoring and recording. Rapid advances in diverse sensing technologies, ranging from remote sensors to wearables and social sensing, are generating rapid growth in the size and complexity of time series archives. Thus, although time series analysis has been studied extensively, its importance only continues to grow. What is more, modern time series data pose significant challenges to existing techniques (e.g., irregular sampling in hospital records and spatiotemporal structure in climate data). Finally, time series mining research is challenging and rewarding because it bridges a variety of disciplines and demands interdisciplinary solutions. Now is the time to discuss the next generation of temporal mining algorithms. The focus of MiLeTS workshop is to synergize the research in this area and discuss both new and open problems in time series analysis and mining. The solutions to these problems may be algorithmic, theoretical, statistical, or systems-based in nature. Further, MiLeTS emphasizes applications to high impact or relatively new domains, including but not limited to biology, health and medicine, climate and weather, road traffic, astronomy, and energy. The MiLeTS workshop will discuss a broad variety of topics related to time series, including: · Time series pattern mining and detection, representation, searching and indexing, classification, clustering, prediction, forecasting, and rule mining. · BIG time series data. · Hardware acceleration techniques using GPUs, FPGAs and special processors. · Online, high-speed learning and mining from streaming time series. · Uncertain time series mining. · Privacy preserving time series mining and learning. · Time series that are multivariate, high-dimensional, heterogeneous, etc., or that possess other atypical properties. · Time series with special structure: spatiotemporal (e.g., wind patterns at different locations), relational (e.g., patients with similar diseases), hierarchical, etc. · Time series with sparse or irregular sampling, non-random missing values, and special types of measurement noise or bias. · Time series analysis using less traditional approaches, such as deep learning and subspace clustering. · Applications to high impact or relatively new time series domains, such as health and medicine, road traffic, and air quality. · New, open, or unsolved problems in time series analysis and mining. ------------------------------ Submission Guidelines ------------------------------ Submissions should follow the SIGKDD formatting requirements and will be evaluated using the SIGKDD Research Track evaluation criteria. Preference will be given to papers that are reproducible, and authors are encouraged to share their data and code publicly whenever possible. Submissions are strongly recommended to be no more than 4 pages, excluding references or supplementary materials (all in a single pdf). The appropriateness of using additional pages over the recommended length will be judged by reviewers. All submissions must be in pdf format using the workshop template (latex, word). Submissions will be managed via the MiLeTS 2020 EasyChair website. *Note on open problem submissions:* To promote new and innovative research on time series, we plan to accept a small number of high-quality manuscripts describing open problems in time series analysis and mining. Such papers should provide a clear, detailed description and analysis of a new or open problem that poses a significant challenge to existing techniques, as well as a thorough empirical investigation demonstrating that current methods are insufficient. *COVID-19 Time Series Analysis Special Track:* The COVID-19 pandemic is impacting almost everyone worldwide and is expected to have life-altering short and long-term effects. There are many potential applications of time series analysis and mining that can contribute to the understanding of this pandemic. We encourage the submission of high-quality manuscripts describing original problems, time-series datasets, and novel solutions for time series analysis and forecasting of COVID-19. The review process is single-round and double-blind (submission files have to be anonymized). Concurrent submissions to other journals and conferences are acceptable. Accepted papers will be presented as posters during the workshop and list on the website. Besides, a small number of accepted papers will be selected to be presented as contributed talks. Any questions may be directed to the workshop e-mail address: kdd.milets(a)gmail.com. ----------------- KEY DATES ----------------- Paper Submission Deadline: May 20th, 2020, 11:59PM Alofi Time Author Notification: June 15th, 2020 Camera Ready Version: July 2nd, 2020 Workshop: August 24th, 2020 ------------------------------- Organizing Committee ------------------------------- Sanjay Purushotham University of Maryland, Baltimore County Yaguang Li Google -------------------------- Steering Committee -------------------------- Eamonn Keogh University of California Riverside Yan Liu University of Southern California Abdullah Mueen University of New Mexico ------------- Contact: -------------- Any questions may be directed to the workshop e-mail address: kdd.milets(a)gmail.com.

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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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