September 2021 - hpc-announce - mailman3.cels.anl.gov

Final CFP Deadline Extended: MIR Labs Annual Events- Springer LNNS Series (Scopus Indexed)
by Anu Bajaj 30 Sep '21

30 Sep '21

** Deadline Extension: MIR Labs, USA Annual Events- Springer LNNS Series (Scopus Indexed) ** Final CFP- please circulate this CFP to your colleagues and networks ** ------------On multiple requests from several authors, we have extended the submission deadline till October 20, 2021.--------------- -- 21st International Conference on Intelligent Systems Design and Applications (ISDA’21) –- http://www.mirlabs.net/isda21 -- 21st International Conference on Hybrid Intelligent Systems (HIS'21) -- http://www.mirlabs.net/his21 -- 17th International Conference on Information Assurance and Security (IAS 2021) -- http://www.mirlabs.org/ias21 -- 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) -- http://www.mirlabs.org/socpar21 -- 13th World Congress on Nature and Biologically Inspired Computing (NaBIC 2021) -- http://www.mirlabs.net/nabic21 -- The 12th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA'21) -- http://www.mirlabs.net/ibica21 -- The 11th World Congress on Information and Communication Technologies (WICT'21) --http://www.mirlabs.org/wict21 **Important Dates** --------------------- Paper submission due (Extended deadline): September 30, 2021 (October 20, 2021) Notification of paper acceptance (Extended deadline): October 31, 2021 (November 05, 2021) Registration and Final manuscript due (Extended deadline): November 15, 2021 (November 20, 2021) Conferences: December 14-16, 2021 ** About MIR Labs, USA events 2021** ---------------------------------------------------------------------------------------------------- Machine Intelligence Research Labs (MIR Labs), USA provides an international forum to share the latest research results, ideas and experiences in intelligent systems design and applications; soft computing; information assurance and security; nature-inspired computing, pattern recognition; and information and communication technologies by bringing together the leading communities in this research space. MIR Labs events are built on a solid history, through ISDA to WICT, connecting young researchers with highly experienced peers to forge connections, which can last for many years. ** Topics (not limited to) ** --------------------------------------------------------------------------------------------------- Intelligent Systems and Applications Hybrid Intelligent Systems Soft Computing and Pattern Recognition Nature and Biologically Inspired Computing Innovations in Bio-Inspired Computing and Applications Information and Assurance Security Innovations in Information and Communication Technologies Wireless Networks Data Mining IoT, Cloud Computing Software Engineering Digital Learning Cybersecurity **Submission Guidelines** ------------------------- Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: https://www.springer.com/de/authors-editors/book-authors-editors/manuscript… **Plenary Talks** ---------------------------------------- You are welcome to attend 9 Keynote Talks offered by world-renowned professors and industry leaders. The detailed information is available on conference website. Speaker 1: Antônio de Padua Braga, Federal University of Minas Gerais, Brazil Title: Large margin classification with graph-based models Speaker 2: Juergen Branke, University of Warwick, Coventry, United Kingdom Title: Learning to optimise – optimal learning Speaker 3: Oscar Cordon, University of Granada, Spain Title: Hybrid Intelligent Systems for Forensic Anthropology and Human Identification Speaker 4: Kalyanmoy Deb, Michigan State University, USA Title: TBA Speaker 5: Andries Engelbrecht, University of Stellenbosch, South Africa Title: Set-based Particle Swarm Optimization Approach to Portfolio Optimization Speaker 6: Frédéric GUINAND, Le Havre Normandy University, France Title: Swarms of Unmanned Aerial Vehicles Speaker 7: Cengiz Toklu, Beykent University, Istanbul, Turkey Title: Hybrid Algorithms. Applications to Structural Mechanics Speaker 8: Günther Raidl, Technische Universität Wien, Austria Title: Combinatorial Optimization Meets (Reinforcement) Learning Speaker 9: Marco Dorigo, Université Libre de Bruxelles, Belgium Title: TBA **Technical Contact** --------------------- Dr. Ajith Abraham Email: ajith.abraham(a)ieee.org

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ACM Dependable, Adaptive, and Secure Distributed Systems
by Karl M. Goeschka 30 Sep '21

30 Sep '21

FINAL CALL FOR PAPERS ===================== +----------------------------------------------------------------------------+ | 17th Track on Dependable, Adaptive, and Secure Distributed Systems (DADS) | | of the 37th ACM Symposium on Applied Computing (SAC'22) | +----------------------------------------------------------------------------+ April 25 - 29, 2022 Brno, Czech Republic http://www.dedisys.org/sac22/ https://www.sigapp.org/sac/sac2022/ Accepted papers will be published in the ACM conference proceedings and will be included in the ACM digital library. Important Dates: Paper submission: October 15, 2021 Author notification: December 10, 2021 Camera-ready copies: December 21, 2021 Authors are invited to submit original work not previously published, nor currently submitted elsewhere. Authors submit full papers in pdf format using the link to the submission site at http://www.dedisys.org/sac22/. Authors are allowed up to 10 pages, but with more than 8 pages in the final camera ready, there will be a charge of 80USD per extra page. Call details ============ While computing is provided by the cloud and services increasingly pervade our daily lives, dependability, adaptiveness and security become a cornerstone of the information society. Unfortunately, most innovative systems and applications (Internet of Things, Industrial IoT, Smart Environments, Mashups, NewSQL) suffer from a lack of dependability and security, which is fueled by global scale, mobility and heterogeneity, as well as the demand for resource awareness, green computing, and increasing cost pressure. Among technical factors, software development methods, tools, and techniques contribute to dependability and security, as defects in software products and services may lead to failure and also provide typical access for malicious attacks. In addition, there is a wide variety of fault and intrusion tolerance techniques available, including persistence provided by databases, redundancy and replication, group communication, transaction monitors, reliable middleware, cloud infrastructures, light-weight virtualization (docker), fragmentation-redundancy-scattering, and trustworthy service-oriented and microservice architectures with explicit control of quality of service properties and monitoring of service level agreements. Furthermore, adaptiveness is envisaged in order to react to observed, or act upon expected changes of the system itself, the context/environment (e.g., resource variability or failure/threat scenarios) or users' needs and expectations. Provided without explicit user intervention, this is also termed autonomous behavior or self-properties, and often involves monitoring, diagnosis (analysis, interpretation), and reconfiguration (repair). In particular, adaptation is also a means to achieve dependability and security in a computing infrastructure with dynamically varying structure and properties and can itself be provided as a service (Control-as-a-service). Topics of interest ================== * Dependable, Adaptive, and Secure Distributed Systems (DADS) * Architectures, architectural styles, and middleware for DADS * Protocols for DADS * Modeling, design, and engineering of DADS * Foundations and formal methods for DADS * Applications of DADS * Evaluations, testing, benchmarking, and case studies of DADS * Holistic aspects of DADS Track program co-chairs ======================= Karl M. Goeschka, Vienna University of Technology (Austria) (main contact: dads(a)dedisys.org) Matti Hiltunen, AT&T Labs (USA) Rui Oliveira, Universidade do Minho (Portugal) Program committee ================= Filipe Araujo, University of Coimbra (Portugal) Claudio Agostino Ardagna, University of Milan (Italy) Mikael Asplund , Linköping University (Sweden) Jean Bacon, University of Cambridge (UK) Harun Baraki, Universität Kassel (Germany) Alberto Bartoli, University of Trieste (Italy) Alysson Bessani, Universidade de Lisboa (Portugal) Stefan Beyer, Oak Security (Germany) Andrea Bondavalli, University of Florence (Italy) Antonio Casimiro, Universidade de Lisboa (Portugal) Paulo Coelho, Federal University of Uberlandia (Brazil) Mauro Conti, Universita di Padova (Italy) Gianpaolo Cugola, Politecnico di Milano (Italy) Shujie Cui, Imperial College (New Zealand) Rogerio De Lemos, University of Kent (UK) Antonella Del Pozzo, CEA - LIST, Saclay (France) Felicita Di Giandomenico, ISTI-CNR, Pisa (Italy) Naranker Dulay, Imperial College London (UK) Nikolaos Georgantas, INRIA (France) Vincenzo Gulisano, Chalmers University (Sweden) Zhe Huang, AT&T (USA) Alexandre Huff, Federal Technological University of Parana (Brazil) Shanshan Jiang, SINTEF (Norway) Nesrine Kaaniche, Polytechnic Institute of Paris (France) Ferhat Khendek, Concordia University (Canada) Mikel Larrea, Euskal Herriko Unibersitatea (Spain) Michaël Lauer, LAAS-CNRS, Toulouse (France) Mark Little, JBoss (UK) István Majzik, Budapest UTE. (Hungary) Odorico Mendizabal, Federal University of Santa Catarina (Brazil) Matteo Migliavacca, University of Kent (UK) Shivakant Mishra, University of Colorado (USA) Gero Mühl, University of Rostock (Germany) Francesc Daniel Muñoz-Escoí, UP Valencia (Spain) Jose Pereira, Universidade do Minho (Portugal) Barry Porter, Lancaster University (UK) Luís Rodrigues, INESC-ID/IST (Portugal) Luigi Romano, University of Naples (Italy) Romain Rouvoy, INRIA (France) Alirio Sá, Federal University of Bahia (Brazil) Valerio Schiavoni, Université de Neuchâtel (Switzerland) Elad Schiller, Chalmers University (Sweden) Marjan Sirjani, Malardalen University (Sweden) Stefan Tai, Information Systems Engineering, TU Berlin (Germany) Matheus Torquato, University of Coimbra (Portugal) Elena Troubitsyna, Åbo Akademi University (Finland) Eddy Truyen, Katholieke Universiteit Leuven (Belgium) Luis Veiga, Technical University of Lisbon (Portugal) Ricardo Vilaça, Universidade do Minho (Portugal) Roman Vitenberg, University of Oslo (Norway) Nicola Zannone, Technical University of Eindhoven (Netherlands)

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[MiM Free Webinars] In-memory computing talks - Rest of 2021 plan
by Nima TaheriNejad 30 Sep '21

30 Sep '21

Dear colleagues, After a summer break, we resume our biweekly Mondays in Memory (MiM)* free webinars on October 18th with a talk by Prof. Shanbhag from the University of Illinois, Urbana-Champaign on "In-memory computing - A Shannon-inspired Perspective". We have two more talks planned for this year; +++ 15/November by Prof. Roy from Purdue University on opportunities and challenges of IMC-based machine learning, and +++ 6/December by Prof. Jeronimo Castrillon from TU Dresden on fundamentals and code optimization for IMC using Racetrack memories. For more information please visit https://www.ict.tuwien.ac.at/staff/taherinejad/MiM/next.html The link to webinars are always posted there shortly before the actual webinar starts. Feel free to forward this information to your students and other interested colleagues. We look forward to welcoming you all in our next webinars! and stay tuned for more talks next year! Best regards, Nima TaheriNejad *MiM is a biweekly webinar series dedicated to all aspects and technologies for in-memory computing and in a broader sense near memory computing. MiM is free and open to everyone around the world (no registration is required), held on the first and third Monday of each month. -- ----------------------------------------------- Nima TaheriNejad, PhD Assisstant Professor, TU Wien, Institute of Computer Technology, http://www.ict.tuwien.ac.at/staff/taherinejad/ Gusshausstrasse 27-29, Room CA0229 1040 Vienna, Austria, +43-1-58801-384-52 My latest publications (selected short list): Efficient Respiratory Rate Extraction on Smartwatch @ IEEE EMBC 2020 RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems @ IEEE ACCESS 2020 Autonomous Systems, Trust and Guarantees @ IEEE Design & Test 2020 UBAR: User and Battery Aware Resource Management for Smartphones @ ACM TECS 2021 Exact Stochastic Computing Multiplication in Memristive Memory @ IEEE Design & Test 2021 SIXOR: Single-cycle In-memristor XOR @ IEEE TVLSI 2021

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CFP: LDMS User's Group Conference (LDMSCON2021)
by Surjadidjaja, Vanessa 29 Sep '21

29 Sep '21

======================================== LDMS User's Group Conference (LDMSCON2021) ======================================== Oct 26-28 2021, Virtual https://sites.google.com/view/ldmscon2021 The LDMS Users Group Conference is a forum for users to share experiences, including successes and failures, with the Lightweight Distributed Metric Service (LDMS) system software. It also provides the opportunity for users to provide feedback about ways in which the product could be enhanced to meet currently unmet needs and developers to present the future roadmap of the software. The conference brings together researchers, developers, and users from academia, industry, and laboratories to advance the fields of: * Scalable low-overhead monitoring * Data-driven automated workflow and resource orchestration * Run time data analysis and visualization SUBMISSION CATEGORIES: 1) 30 minute presentations - site experiences, installation and configuration, data analysis and visualization, data management for facilitating analysis, use of analysis for performance and diagnostic insights, data-driven automated workflow, etc. with LDMS 2) 10 minute lightning talks - on desired capabilities or challenges in monitoring and analysis. These presentations are intended to drive discussions and possible development for LDMS For more information: https://easychair.org/cfp/LDMSCON2021 IMPORTANT DATES: * Abstracts -- Rolling submissions and notifications through Oct 8, 2021 * Presentation materials will be due 24hr in advance of the presentation * Early Registration: Sept. 22 - Oct. 8 2021, 23:59 MT (GMT-0600) * Regular Registration: Oct. 9 - Oct. 28 2021, 16:00 MT (GMT-0600) For Registration: https://www.eventbrite.com/e/ldmscon-2021-tickets-177531911727 Full Details (program, submissions, tutorials, registration) at https://sites.google.com/view/ldmscon2021 Thank you, Vanessa Surjadidjaja Sandia National Laboratories HPC Development

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[Deadline for Proceedings Papers extended] SIAM Parallel Processing Conference 2022 at Seattle
by Teranishi, Keita 28 Sep '21

28 Sep '21

The submission deadline for Proceeding Paper for the SIAM Conference on Parallel Processing (PP22) is October 8st. Submit now! https://easychair.org/account/signin?l=rhKIidiOWiTHE4aFgJ0d7J# This meeting is currently scheduled to take place at the Hyatt Regency Seattle in Seattle, Washington, U.S. SIAM is continuously monitoring the progress of the COVID-19 pandemic and is now working on a hybrid plan that will accommodate all contingencies. The conference website and participants will be updated when additional information is available. Submission Deadline: October 8th 11:59 PM AoE (Anywhere on Earth) Please visit www.siam.org/conferences/cm/submissions-and-deadlines/...<https://www.siam.org/conferences/cm/submissions-and-deadlines/pp22-submissi…> for detailed submission information. The SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP22) and the SIAM Activity Group on Supercomputing (SIAG-SC) invite research paper submissions on parallel algorithms, scalable scientific computing, simulation, visualization, and machine learning. The SIAM PP conference series focuses on the design of numerical and discrete algorithms in the context of modern parallel computer architectures, covering both theory and practice. Included Themes * Compilers and programming systems * Data analysis and visualization * Education in HPC * Fault-tolerance * Large-scale parallel applications * Parallel computer systems * Performance analysis, tuning, and debugging * Reproducibility * Scalable parallel algorithms * Scientific workflows Special Themes * Algorithms and applications on multiphysics and multiscale computing * Frontiers of scientific computing * Integration of scientific computing and machine learning methods * Post Moore systems and algorithms * Verification, validation, and uncertainty quantification The research papers will be peer-reviewed. We will use a rigorous academic peer-review process and single-blind reviewing. The reviewers will also nominate papers for best paper and best student paper, and the winners will be finalized during the conference. Accepted papers will be published in the Proceedings of the SIAM Conference on Parallel Processing for Scientific Computing Conference, will be DOI indexed, and will be accessible through the SIAM proceedings web site. Integration of these papers into the SIAM PP series conference program would be in addition to the standard minisymposia and contributed talks. Submission format: 10 pages without references. Supplementary material will be allowed. Deadlines: Papers due: October 8, 2021 Decisions: Mid November, 2021 Camera-ready copy due: Mid December, 2021 Steering Committee: George Biros, University of Texas, Austin, U.S. Matthias Bolten, Universität Wuppertal, Germany Olaf Schenk, Università della Svizzera italiana, Switzerland Richard Vuduc, Georgia Institute of Technology, U.S. Ulrike M. Yang, Lawrence Livermore National Laboratory, U.S. Proceedings Paper Committee: Hartwig Anzt, Karlsruhe Institute of Technology, Germany Prasana Balaprakash, Argonne National Laboratory, U.S. Grey Ballard, Wake Forest University, U.S. Costas Bekas, Citadel Securities, Switzerland Luc Berger-Vergiat, Sandia National Laboratories, U.S. Paolo Bientinesi, Umeå University, Sweden George Bosilca, University of Tennessee, Knoxville, U.S. Eric de Sturler, Virginia Tech, U.S. Edoardo Di Napoli, Jülich Supercomputing Center, Germany Anshu Dubey, Argonne National Laboratory, U.S. David Gardner, Lawrence Livermore National Laboratory, U.S. Laura Grigori, INRIA Paris, France Jeff Hammond, NVIDIA, U.S. Hartmut Kaiser, Louisiana State University, U.S. Scott Klasky, Oak Ridge National Laboratory, U.S. Alicia Klinvex, Naval Nuclear Laboratory, U.S. Jiajia Li, College of William and Mary, U.S. Weifeng Liu, The China University of Petroleum, China Yang Liu, Lawrence Berkeley National Laboratory, U.S. Hatem Ltaief, KAUST, Saudi Arabia Karla Morris, Sandia National Laboratories, U.S. Sivasankaran Rajamanickam, Sandia National Laboratories, U.S. Amanda Randles, Duke University, U.S. Damian Rouson, Lawrence Berkeley National Laboratory, U.S. Tetsuya Sakurai, University of Tsukuba, Japan John Shalf, Lawrence Berkeley National Laboratory, U.S. Stanmire Tomov, University of Tennessee, Knoxville, U.S. Bora Uçar, ENS Lyon, France Rich Vuduc, Georgia Institute of Technology, U.S. Chao Yang, Peking University, China Stefano Zampini, KAUST, Saudi Arabia #SIAMPP22 For additional information, contact the SIAM Conference Department (meetings(a)siam.org<mailto:[email protected]>).

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DSEA 2021 CFP: The 5th International Workshop on Data Science Engineering and its Applications, Gandia, Spain. December 6-9, 2021
by Stanley Ewenike 27 Sep '21

27 Sep '21

*The 5th International Workshop on Data Science Engineering and its Applications (DSEA 2021)* http://emergingtechnet.org/DSEA2021/ *In conjunction with **The 8th International Conference on Social Networks Analysis, Management and Security(SNAMS-2021)* <http://emergingtechnet.org/SNAMS2021/index.php> * Gandia, Spain. December 6-9, 2021* *DSEA 2021 CFP* Today, Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. It involves many domains, such as signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytic, data warehousing, data compression, computer programming, etc. High Performance Computing typically deals with smaller, highly structured data sets and huge amounts of computation. Data Science has emerged to tackle the problem of creating processes and approaches to extracting knowledge or insights from gigantic, unstructured data sets. The 5th International Workshop for Data Science Engineering and Applications (DSEA 2021) aims to provide a forum that brings together researchers, industry practitioners and domain experts for discussion and exchange of ideas on the latest theoretical developments in Data Science and Computing as well as on the best practices for a wide range of applications. The topics of interest for this workshop include, but are not limited to: - Architecture, management and process for Data Science - Big Data Mining and Knowledge Management - Evaluation and Measurement in Data Science - Privacy and protection standards and policies for Data Science - Data Quality - Data science for the internet of things (IoT) - Management Issues of Social Network Big Data - Big Data Computing for Data science - Social Network and Big Data Analytics - Open Source tools for Data Science and Big Data - Data Mining for Data science - High performance computing for data analytic *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format (IEEE Templates <https://www.ieee.org/conferences_events/conferences/publishing/templates.ht…>). All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper must not exceed the stated length (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the SNAMS Proceeding and to be submitted to IEEE Xplore for inclusion. The proceedings are also submitted for indexing to EI (Compendex), Scopus and other indexing services like DBLP. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers must not exceed 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers *Important Dates* Submission Date: 5 Oct, 2021 Notification to Authors: 21 Oct, 2021 Camera Ready Submission: 30th Oct, 2021 Please send any inquiry to Emerging Tech. Network Team at: emergingtechnetwork(a)gmail.com

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ANLP 2021 CFP: The 5th International Workshop on Advances in Natural Language Processing, Gandia, Spain. December 6-9, 2021.
by Yufei Sun 27 Sep '21

27 Sep '21

*The 5th International Workshop on Advances in Natural Language Processing (ANLP 2021)* *Gandia, Spain. December 6-9, 2021. * *http://emergingtechnet.org/ANLP2021/* <http://emergingtechnet.org/ANLP2021/> *In Conjunction With* *The Eighth International Conference on Social Networks Analysis, Management and Security (SNAMS-2021)* <http://emergingtechnet.org/SNAMS2021/index.php> *ANLP 2021 CFP:* The workshop aims at demonstrating recent Advances in Natural Language Processing (ANLP) by bringing together leading academicians, scientists, researchers and practitioners to discuss their findings in NLP. This area of research has been constantly gaining momentum and attention over the past few years as textual material become available in abundance (social networks and web content) and advanced computational power become accessible. This resulted in an interesting array of practical applications. This is evident in the number of conferences, conference tracks, workshops, special issues of journals dedicated to or issues related to ANLP. Another indication of this growing interest is the surge of papers, books, and other forms of publications related to NLP. Noticeably, deep learning is dominating NLP as it did to other areas of artificial intelligence. Deep learning is the modern application of earlier neural network technology but with multiple layers that made possible with modern computing technology. The application of deep learning technology to NLP is progressing at a fast pace, and it is anticipated that we will see many exciting new discoveries here in the next few years. Therefore, the objective of this workshop is to present current and future advances in NLP. Authors are encouraged to submit their original work, which is not submitted elsewhere, to this workshop. Proceedings of the workshops will be published by the IEEE Conference Publishing Services (CPS) and will be submitted for inclusion in the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. Authors are encouraged to submit their original work, which is not submitted elsewhere, to this workshop. The topics of the workshop include but not limited to: * Morphological analysis. * Stemming, Tokenization, segmentation, chunking, parsing, POS. * Information retrieval and extraction. * Named Entity Recognition and Keyword extraction. * Word embedding models. * Text summarization and compression. * Event extraction and semantic role labeling. * Sentiment analysis and classification. * Dialectal modeling. * Machine translation. * Deep learning applications. * Speech recognition, synthesis, and speaker identification. * NLP (annotated) resources such as dictionaries, thesauri, lexicons, ontologies, datasets, etc. * Applications and technologies of NLP. *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format (IEEE Templates <https://www.ieee.org/conferences_events/conferences/publishing/templates.ht…>). All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper must not exceed the stated length (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the SNAMS Proceeding and to be submitted to IEEE Xplore for inclusion. The proceedings are also submitted for indexing to EI (Compendex), Scopus and other indexing services like DBLP. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers must not exceed 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers *Important Dates:* Submission Date: 5 Oct, 2021 Notification to Authors: 21 Oct, 2021 Camera Ready Submission: 30th Oct, 2021 Please send any inquiry to the Emerging Tech. Network Team at: emergingtechnetwork(a)gmail.com

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ESWEEK 2021 Participation: Papers and lightning talks are available
by Lars Bauer 27 Sep '21

27 Sep '21

========================================================================= EMBEDDED SYSTEMS WEEK Call for Participation * CASES * CODES+ISSS * EMSOFT * NOCS * Keynotes * Workshops * Tutorials * Virtual Conference, October 8 - 15, 2021 https://esweek.org ========================================================================= ------------------------------------------------------------------------- UPDATES ------------------------------------------------------------------------- * Pre-recorded lightning talks and PDFs of each paper are online in Whova: https://esweek.org/whova-guide/ * ESWEEK 2021 attendee registration is only USD 10 for IEEE/ACM members and USD 20 for others, and a limited number of free registrations are available (via a fee waiver) for attendees with demonstrated need: https://esweek.org/registration/ * ESWEEK 2021 features a new Education Track, which comprises of classes aimed at background knowledge of various topics in "embedded learning”: https://esweek.org/education/ * Technical program: https://esweek.org/program/ ------------------------------------------------------------------------- About Embedded Systems Week (ESWEEK) ------------------------------------------------------------------------- Embedded Systems Week (ESWEEK) is the premier event covering all aspects of hardware and software design for smart, intelligent and connected computing systems. By bringing together three leading conferences (CASES, CODES+ISSS, EMSOFT), one symposium (NOCS), and several workshops and tutorials, ESWEEK allows attendees to benefit from a wide range of topics covering the state of the art in embedded systems research and development. The registration covers all events at ESWEEK including CASES, CODES+ISSS, EMSOFT, NOCS, keynote, panel, workshops, tutorials, and educational classes. There will be pre-recorded 2-3min lightning talks and papers available through Whova before the conference for participants to comment and post questions. During the conference, Gather.town will be used as main platform to access all live and interactive content throughout the conference week. You will be able to interact with other attendees, network, attend all talks or join poster sessions in the ESWEEK 2021 Gather space. More details: https://esweek.org/logistics/ ------------------------------------------------------------------------- Timeline ------------------------------------------------------------------------- * September 24, 2021: Papers and pre-recorded lightning videos will be online. Questions about papers can be asked through the Whova platform. * October 8–15, 2021: ESWEEK Virtual Conference with live sessions and interactive posters through Gather.town. ------------------------------------------------------------------------- Keynotes: https://esweek.org/keynote/ ------------------------------------------------------------------------- * Monday Keynote: "Advances in Neuromorphic Computing for Fast, Efficient, and Intelligent Processing", by Mike Davies, Intel Labs * Tuesday Keynote: "Safe Learning in Robotics", by Claire Tomlin, University of California at Berkeley * Wednesday Keynote: "Why is Machine Learning on Embedded Systems so Important?", by Pete Warden, Google ------------------------------------------------------------------------- Special Interest Days: ------------------------------------------------------------------------- Tuesday, October 12: "Special Industry Day": https://esweek.org/special-industry-day/ * Two special sessions on collaborative industry-academia European research projects * An industry pitch and poster session Wednesday, October 13: "Special Edge AI Day": https://esweek.org/special-edge-ai-day/ * Keynote "Why is Machine Learning on Embedded Systems so Important?" * Topic-related journal-track papers * Two special sessions on "Automated Edge AI Design" and "New Applications, Systems, and Challenges toward Designing New 'Things' at the Edge" * A panel about "Machine Learning on the Edge: How deep can we 'embed' it into the Cloud-Edge continuum?" ------------------------------------------------------------------------- Conferences ------------------------------------------------------------------------- * CASES: International Conference on Compilers, Architecture, and Synthesis for Embedded Systems https://esweek.org/cases/ Program Chairs: Umit Ogras, University of Wisconsin-Madison, US Preeti Panda, IIT Delhi, IN * CODES+ISSS: International Conference on Hardware/Software Codesign and System Synthesis https://esweek.org/codes-isss/ Program Chairs: Jason Xue, City University of Hong Kong, HK Chengmo Yang, University of Delaware, US * EMSOFT: International Conference on Embedded Software https://esweek.org/emsoft/ Program Chairs: Linh Thi Xuan Phan, University of Pennsylvania, US David Broman, KTH Royal Institute of Technology, SE ------------------------------------------------------------------------- Symposium ------------------------------------------------------------------------- * NOCS: International Symposium on Networks-on-Chip https://esweek.org/nocs/ ------------------------------------------------------------------------- Tutorials (T) and Industrial Tutorials (IT): https://esweek.org/tutorials/ ------------------------------------------------------------------------- * T1. QuantumFlow: A Co-Design Framework of Neural Network and Quantum Circuit towards Quantum Advantage * T2. Fog Computing for Industrial IoT * T3. Deterministic Reactive Programming for Cyber-Physical Systems Using Lingua Franca * IT1. Scalable SoC Architecture for Edge AI Products, Intel * IT2. Integrating Compute Acceleration Into Embedded System Design Using Vitis, Xilinx * IT3. GPU Code Generation from MATLAB and Simulink, Mathworks Inc. ------------------------------------------------------------------------- Workshops: https://esweek.org/workshops/ ------------------------------------------------------------------------- * International Workshop on Memory and Storage Computing (MSC) * International Workshop on Rapid System Prototyping (RSP) * Trustworthy and Reliable AI accelerator desigN (TRAIN) ------------------------------------------------------------------------- Education Track: https://esweek.org/education/ ------------------------------------------------------------------------- * "Edge AI Systems", Lin Wang, VU Amsterdam * "Memory-Centric Computing", Onur Mutlu, ETH Zurich and CMU * "Learn to Drive (and Race!) Autonomous Vehicles", Rahul Mangharam and Johannes Betz, University of Pennsylvania * "TinyML on Edge", Vijay Janapa Reddi, Harvard University * "Binarized Neural Network Inference", Nicolas J Fraser, Xilinx * "Research Reproducibility in Embedded Learning", Romain Jacob, ETH Zurich * "Spiking Neural Networks", Priyadarshini Panda, Yale * "Neural Network Accelerator Design", Yu Wang, Tsinghua University * "Introduction to Neuromorphic Computing", Helen Li, Duke University * "DNNs on FPGAs", Jaesun Seo, Arizona State University * "Machine Learning-Driven Manycore Systems", Biresh Kumar, Duke University, Jana Doppa, Washington State University ------------------------------------------------------------------------- Organization: https://esweek.org/organizing-committee/ ------------------------------------------------------------------------- Andreas Gerstlauer, University of Texas at Austin, US (General Chair) Aviral Shrivastava, Arizona State University, US (Vice General Chair) Tulika Mitra, National University of Singapore, SG (Past Chair) Virtual Conference Chairs: Sudeep Pasricha, Colorado Statue University, US (Chair) Hoeseok Yang, Ajou University, KR (Co-Chair) https://esweek.org

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SAMSN 2021 CFP:The International Workshop on Sentiment Analysis and Mining of Social Networks , Gandia, Spain. December 6-9, 2021.
by Stanley Ewenike 26 Sep '21

26 Sep '21

*The International Workshop on Sentiment Analysis and Mining of Social Networks (SAMSN 2021) * *Gandia, Spain. December 6-9, 2021. * *http://emergingtechnet.org/SAMSN2021/ <http://emergingtechnet.org/SAMSN2021/>* *In Conjunction With* *The Eighth International Conference on Social Networks Analysis, Management and Security (SNAMS-2021)* <http://emergingtechnet.org/SNAMS2021/index.php> *SAMSN 2021 CFP:* When the first Social Networks were introduced in the beginning of this century, they were able to gain the attention of the whole world, and since then, more and more social networks have risen and have become increasingly popular and significantly effective. They have been able to change the way we live forever and how we interact with each other and with the environment. The world has become more and more connected. Nowadays, social networks are everywhere, and they play an important role in various aspects of our lives. With the rise of the era of social networks, many opportunities and challenges have appeared on the scene including but not limited to big data handling, security and privacy issues in social networks, the use of sentiment analysis and opinion mining in these rich environments, data analytics, recommender systems, and legal and ethical issues related to the offensive use of these environments. The objective of this workshop is to shed light upon all the issues, opportunities, challenges, and future trends that are related to online social networks. Authors are invited to submit their original work, which is not submitted elsewhere, to this workshop. The accepted papers of the workshop will be published by the IEEE Conference Publishing Services (CPS) and will be submitted for inclusion in the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The International Workshop on Sentiment Analysis and Mining of Social Networks (SAMSN 2021) aims to provide a forum that brings together researchers, industry practitioners and domain experts for discussion and exchange of ideas on the latest theoretical developments in Data Science and Computing as well as on the best practices for a wide range of applications. Proceedings of the workshops will be published by the IEEE Conference Publishing Services (CPS) and will be submitted for inclusion in the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. Authors are encouraged to submit their original work, which is not submitted elsewhere, to this workshop. The topics of the workshop include but not limited to: · Social Networks Mining and Analysis · Social Networks Architecture · Social networks Data Representation and Visualization · Big Data and Social Networks · IOT and Social Networks · Cloud Mining tools and Services for Social Networks Data · Geolocation aspects of Social networks · Impact of Social Networks on Society · Social Networks Sentiment Analysis and Opinion Minings · Information Retrieval for Social Networks · Multilingual Natural Language Processing Tools for Social Networks · Machine Learning with Social Networks · Recommender systems Applications in Social Networks · Artificial Intelligence-based Emerging technologies · Privacy challenges in Social networks · Social Network and Data Analytics · Legal and Ethical issues for Textual Online Data · Online Hate-Speech detection · Case studies *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format (IEEE Templates <https://www.ieee.org/conferences_events/conferences/publishing/templates.ht…>). All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper must not exceed the stated length (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the SNAMS Proceeding and to be submitted to IEEE Xplore for inclusion. The proceedings are also submitted for indexing to EI (Compendex), Scopus and other indexing services like DBLP. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers must not exceed 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers *Important Dates:* Submission Date: 5 Oct, 2021 Notification to Authors: 21 Oct, 2021 Camera Ready Submission: 30th Oct, 2021 Please send any inquiry to the Emerging Tech. Network Team at: emergingtechnetwork(a)gmail.com

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[Final CFP] 21st International Conference on Hybrid Intelligent Systems, Springer LNNS Series (Scopus Indexed)
by Anu Bajaj 26 Sep '21

26 Sep '21

** Final Call for Papers - please circulate this CFP to your colleagues and networks ** -- The 21st International Conference on Hybrid Intelligent Systems (HIS'21) -- http://www.mirlabs.net/his21 http://www.mirlabs.org/his21 On the World Wide Web December 14-16, 2021 Proceedings of HIS'21 will be published in Lecture Notes in Networks and Systems, Springer (Indexed in SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago). <https://www.springer.com/series/15179> Proceedings of HIS'2020: https://www.springer.com/gp/book/9783030730499 History of HIS series: http://www.mirlabs.net/his21/previous.php **Important Dates** --------------------- Paper submission due: September 30, 2021 Notification of paper acceptance: October 31, 2021 Registration and Final manuscript due: November 15, 2021 Conference: December 14-16, 2021 **About HIS 2021** ------------------ Hybridization of intelligent systems is a promising research field of modern artificial/computational intelligence concerned with the development of the next generations of intelligent systems. A fundamental stimulus to Hybrid Intelligent Systems (HIS) investigations is the awareness in the academic communities about the necessity of the combined approaches to solving the remaining challenging problems in artificial/computational intelligence. Hybrid Intelligent Systems are recently getting popular due to their capabilities in handling several real-world complexities involving imprecision, uncertainty, and vagueness. HIS'21 built on the success of the previous HIS conferences. HIS'21 is the 21st International conference that brings together researchers, developers, practitioners, and users of soft computing, computational intelligence, agents, logic programming, and several other intelligent computing techniques. It aims to increase the awareness of the research community about the broad spectrum of hybrid approaches. It brings together worldwide AI researchers to present their cutting-edge results, discuss the current trends in HIS research, and develop a collective vision of future opportunities. Thereby helping the researchers and practitioners establish international collaborative opportunities, and as a result, advancing the state-of-the-art of the field. **Topics (not limited to)** --------------------------- Interactions between neural networks and fuzzy inference systems. Artificial neural network optimization using global optimization techniques. Fuzzy clustering algorithms and optimization techniques. Fuzzy inference system optimization using global optimization algorithms. Hybrid computing using neural networks - fuzzy systems - evolutionary algorithms. Hybrid optimization techniques (evolutionary algorithms, simulated annealing, tabu search, GRASP etc.). Hybrid of soft computing and statistical learning techniques. Models using inductive logic programming, logic synthesis, grammatical inference, case-based reasoning etc. Autonomic computing. Hybridizatiion with novel computing paradigms: Qantum computing, DNA computing, membrane computing etc. Hybrid Intelligent Systems: Applications **Submission Guidelines** ------------------------- Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: https://www.springer.com/de/authors-editors/book-authors-editors/manuscript… HIS’21 Submission Link: https://easychair.org/conferences/?conf=his20210 **Plenary Talks** ---------------------------------------- You are welcome to attend 8 Keynote Talks offered by world-renowned professors and industry leaders. The detailed information is available on conference website. Speaker 1: Antônio de Padua Braga, Federal University of Minas Gerais, Brazil Title: Large margin classification with graph-based models Speaker 2: Juergen Branke, University of Warwick, Coventry, United Kingdom Title: Learning to optimise – optimal learning Speaker 3: Oscar Cordon, University of Granada, Spain Title: Hybrid Intelligent Systems for Forensic Anthropology and Human Identification Speaker 4: Kalyanmoy Deb, Michigan State University, USA Title: TBA Speaker 5: Andries Engelbrecht, University of Stellenbosch, South Africa Title: Set-based Particle Swarm Optimization Approach to Portfolio Optimization Speaker 6: Frédéric GUINAND, Le Havre Normandy University, France Title: Swarms of Unmanned Aerial Vehicles Speaker 7: Cengiz Toklu, Beykent University, Istanbul, Turkey Title: Hybrid Algorithms. Applications to Structural Mechanics Speaker 8: Günther Raidl, Technische Universität Wien, Austria Title: Combinatorial Optimization Meets (Reinforcement) Learning **HIS 2021 Organization** ------------------------- General Chairs Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), USA Vincenzo Piuri, University of Milan, Italy Patrick Siarry, Université Paris-Est Créteil, France Program Chairs Oscar Castillo, Tijuana Institute of Technology, Mexico Patrick Hung, Ontario Tech University, Canada **Technical Contact** --------------------- Dr. Ajith Abraham Email: ajith.abraham(a)ieee.org Publicity Chair MIR Labs, USA events 2021 Dr. Anu Bajaj Research Associate Machine Intelligence Research Labs, USA

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