computational.science September 2021

computational.science@lists.iccsa.org

8 participants
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2022 Luis W. Alvarez Postdoc Fellowship and Admiral Grace Hopper Postdoc Fellowship at Berkeley Lab
by Esmond G. Ng 26 Oct '21

26 Oct '21

Berkeley Lab is now accepting applications for the 2022 Luis W. Alvarez Postdoctoral Fellowship and the 2022 Admiral Grace Hopper Postdoctoral Fellowship in the Computing Sciences Area. Apply now for these two prestigious fellowships! Researchers in computer science, mathematics, or any computational science discipline who have received their Ph.D. within the last three years (i.e., no earlier than January 1, 2019) are encouraged to apply. The successful applicants will receive a competitive salary, professional travel allowance, relocation assistance, excellent benefits, and an opportunity to work in the San Francisco Bay Area. Since its founding in 2002, the Luis W. Alvarez Fellowship has cultivated exceptional young scientists who have gone on to make outstanding contributions to computational and computing sciences. The Admiral Grace Hopper Fellowship was established in 2015. Additional information on the Luis W. Alvarez Postdoctoral Fellowship and the Admiral Grace Hopper Postdoctoral Fellowship can be found at https://cs.lbl.gov/careers/computing-fellowships/. Berkeley Lab’s Computing Sciences Area researches, develops, and deploys new tools and technologies to meet these needs and to advance research in our core capabilities of computer science, mathematics, and computational science. In addition to fundamental advances in our core capabilities, we impact such areas as materials science, chemistry, biology, astrophysics, climate change, combustion, and fusion energy. Research areas in Computing Sciences include but are not limited to: developing scientific applications and software technologies for extreme-scale and energy-efficient computing; developing mathematical modeling for complex scientific problems; designing algorithms to improve the performance of scientific applications; researching digital and post-digital computer architectures for science; advancing extreme-scale scientific data management, analysis, and machine-learning; developing next-generation machine learning and AI approaches for science; advancing quantum computing technologies, software, algorithms and applications; evaluating or developing new and promising HPC systems and networking technologies researching methods to control and manage dynamic circuit networks; developing large-scale visualization and analytics technologies; and managing scientific data in distributed environments Application Process: For consideration applications are due November 22, 2021. Letters of Reference are due November 29, 2021. Details of the application process can be found by search for job 93892 at https://jobs.lbl.gov/.

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RAID 2021 (Research in Attacks, Intrusions, and Defenses): Call for Participation, Virtual and Donostia / San Sebastian, Spain on October 6-8, 2021
by Joaquin Garcia-Alfaro 30 Sep '21

30 Sep '21

** Apologies for Cross-postings -- please share ** The 24th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2021) Virtual & Donostia / San Sebastian, Spain -- 6-8 October 2021 https://raid2021.org/ Registration is due soon: https://raid2021.org/registration/ =========================================================================================== *** CALL FOR PARTICIPATION *** We invite you to attend RAID IN PERSON, the International Symposium on Research in Attacks, Intrusion and Defenses (RAID2021), one of the top information security conferences. The 24th edition of the conference will be held in a mixed mode, on site / online, preferably on site, at San Sebastian, Spain for three days October 6, 7 and 8, 2021. San Sebastian (Donostia in Basque language) is a beautiful city famous by its cuisine, boasting more Michelin stars per square metre than any other city on the planet. It is also listed among the World’s 20 Best Surf Towns by National Geographic. RAID organisation is composed of local and international recognised researchers in information Security. It aims at bringing together leading researchers and practitioners from academia, government, and industry to discuss novel research contributions related to computer and information security. The conference is known for the quality and thoroughness of the reviews of the papers submitted, the desire to build a bridge between research carried out in different communities, and the emphasis given on the need for sound experimental methods and measurement to improve the state of the art in cybersecurity. You can find all registration information and procedure at: http://raid2021.org/registration (*There are special discounts for students, and there will be a few student travel grants available (details being worked out) *) *** KEYNOTE *** - Mathias Payer (EPFL) "Riding the Fuzzing Hypetrain". More information at: https://raid2021.org/program/ *** SOCIAL ACTIVITIES *** Dinner in a traditional cider house, a boat trip around the bay of San Sebastian, and a fantastic Gala Dinner at a one Michelin star restaurant. More information at: https://raid2021.org/social-activities/ *** CONFERENCE PROGRAM *** The conference program includes different tracks presenting the latest state-of-the-art results in the topics of: Computer, network, and cloud computing security Malware and unwanted software Program analysis and reverse engineering Mobile Security Web security and privacy Vulnerability analysis techniques Usable security and privacy Intrusion detection and prevention Hardware security Cyber physical systems security and threats against critical infrastructures IoT security Statistical and adversarial learning for computer security Cyber crime and underground economies Denial-of-Service attacks and defenses Security measurement studies Digital forensics Program is now available at https://raid2021.org/program/ *** VENUE *** For travel arrangements, please check https://raid2021.org/venue-travel/

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CFP OLA'2022 Optimization & Learning @Sicilia Italy
by El-ghazali Talbi 30 Sep '21

30 Sep '21

Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** OLA'2022 International Conference on Optimization and Learning 18-20 July 2022 Syracuse (Sicilia), Italy http://ola2022.sciencesconf.org/ SCOPUS Springer Proceedings **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and learning methods and their applications. The conference OLA'2022 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2022 welcomes presentations that cover any aspects of optimization and learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 10 pages Important dates: =============== Invited session organization Dec 20, 2021 Paper submission deadline Jan 28, 2022 Notification of acceptance March 25, 2022 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. Proceedings will be available at the conference. -- ********************************************************************** OLA'2022 International Conference on Optimization and Learning 18-20 July 2022, Syracuse, Sicilia, Italy http://ola2022.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS guide2research.com

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CFP: Resilient Bio-Inspired Algorithms @ Evostar 2022
by ccottap＠lcc.uma.es 28 Sep '21

28 Sep '21

Resilient Bioinspired Algorithms Special Session of the EvoApps 2022 conference Part of EvoStar 2022 -- http://www.evostar.org/2022/ 20-22 April 2022 Aims and Scope -------------- The Special Session on Resilient Bio-Inspired Algorithms (RBA) of EvoApps will provide a specialized forum of discussion and exchange of information for researchers interested in exploring bio-inspired approaches (swarm intelligence, evolutionary computing) to attain resilient systems and processes. Resiliency is a major topic after major disruptions like COVID-19 where many organizations/systems were too brittle to quickly adapt and they simply broke. Designers of bio-inspired techniques should focus on such systems and help in their design and/or operation, in order to make them more adaptable and capable of withstanding such disruptions. This is for example the case of many organization/industrial processes that work as goal-oriented complex systems, often using AI tools. It is not uncommon that AI-enhanced complex projects face difficulties due to maintenance issues, scalability problems, or disrupted operation in the presence of major external disturbances. Resilience is thus not only a desired property of the system to which AI is applied, but also a sought property for AI methods themselves. Topics of Interest ------------------ Topics of interest include, but are not limited to: Resilience and fault-tolerance in computational intelligence Resilience on AI engineering using bio-inspired computing Resilience on hyper-automation including evolutionary machine learning, evolutionary machine vision, and evolutionary robotics. Resilience on complex systems Resilience on evolutionary software engineering Real-world situations where robustness and trustworthiness of solutions are mandatory Emerging topics not traditionally discussed within the swarm and evolutionary computation where resiliency is of significant applicability Important Dates --------------- Submision: 1 November 2021 Notification: 8 January 2022 Conference: 20-22 April 2022 Organizers ---------- Carlos Cotta Universidad de Málaga, Spain ccottap(at)lcc.uma.es Gustavo Olague CICESE, Mexico olague(at)cicese.mx

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Call for Papers - 1st WORKSHOP ON PARALLEL PROGRAMMING IN THE EXASCALE ERA
by Sanmukh Kuppannagari 23 Sep '21

23 Sep '21

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13th HiPC Student Research Symposium (SRS)
by Sanmukh Kuppannagari 23 Sep '21

23 Sep '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** 13th HiPC Student Research Symposium (SRS) https://hipc.org/srs/ in conjunction with the 28th INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, and ANALYTICS (HIPC 2021) December 17-18, 2021 | Virtual Event, INDIA | www.hipc.org OVERVIEW HiPC 2021 will feature the 13th Student Research Symposium on High Performance Computing, Data, and Analytics (HPC) aimed at stimulating and fostering student research, and providing an international forum to highlight student research accomplishments. The symposium will also provide exposure to students in the best practices in HPC in academia and industry. The symposium will feature student posters and provide students with other enriching experiences, such as workshops, industry exhibits, and demos. The Conference Reception and multiple Student Symposium Poster Exhibit sessions will provide an opportunity for students to interact with HPC researchers and practitioners (and recruiters) from academia and industry. Awards for Best Poster, sponsored by IEEE Computer Society – Technical Committee on Parallel Processing (TCPP) – will be presented at the symposium. An online book containing the resumes of the students participating in the symposium will be compiled and made available to the sponsors of the HiPC 2021 conference. TOPICS Papers are solicited in all areas of high-performance computing, data, and analytics, including but not limited to topics mentioned below. 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); * Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models); * Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); and * Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management). Architectures: This track invites papers that describe original research on the design and evaluation of high-performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): * Design and evaluation of high-performance processing architectures (e.g., reconfigurable, system-on-chip, many cores, vector processors); * Design and evaluation of networks for high-performance computing platforms (e.g., interconnect topologies, network-on-chip); * Design and evaluation of memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); * Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); and * Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications: This track invites papers that describe original research on the design and implementation of scalable applications for execution on parallel and distributed platforms, and related advances. Examples of topics of interest include (but not limited to): * Design and implementation of shared and distributed memory parallel applications (e.g., scientific computing and industry applications, emerging applications in IoT and life sciences – biology, medicine, chemistry, etc.); * Design and simulation methodologies for scaling applications on peta and exascale platforms (e.g., co-design approaches, hardware/software co-design, heterogeneous and hybrid programming); * Hardware acceleration of parallel applications (e.g., CPU/GPUs, multi-GPU clusters, FPGA, vector processors, manycore); and * Design of application benchmarks for parallel and distributed platforms. Systems Software: This track invites papers that describe original research on the design, implementation, and evaluation of systems software for high-performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): * Scalable systems and software architectures for high-performance computing (e.g., middleware, operating systems, I/O services); * Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); * Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); * Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; Software for the cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); and * Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms). Data Science 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 the complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); * Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); and * Scalable algorithms that ensure the transparency and fairness of the analysis. Scalable Systems and Software: This track invites papers that describe original research on developing scalable systems and software for handling data at scale, and related advances. Examples of topics of interest include (but not limited to): * Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications); * Design of scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs); * Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); * Design and implementation of systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); and * Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy-preserving, and secure schemes). IMPORTANT DATES Submission Opens: August 19, 2021 Submission Deadline: October 01, 2021 Accept/Reject Decision Notification: November 01, 2021 Symposium: December 17-18, 2021 ELIGIBILITY Submissions should have at least one author who is a student during any part of the calendar year 2021. Submissions may have multiple student or non-student co-authors. Submissions must mark student authors with an asterisk (*). SUBMISSION INSTRUCTIONS In order to be considered for a poster at the Student Research Symposium, authors must submit papers/extended abstracts, not exceeding five (5) letter size (8.5in x 11in) pages, in 11 or 12 point font, single-spaced, with 1” margins on all sides. Papers are to be submitted online in PDF format through Easychair at: https://easychair.org/conferences/?conf=hipc2021 The papers will be used to select posters, but will NOT be published in the conference proceedings. This will provide students the flexibility to publish an extended version of their paper at other venues, after benefiting from reviewer feedback from the symposium. Papers submitted to the symposium are expected to be reviewed by at least three independent reviewers. Papers will be judged on technical merit, quality, relevance to the symposium, and related parameters. Plagiarism, in any form, especially verbatim reproduction from other published works, is prohibited. Papers that are plagiarized will be rejected, and the corresponding department and institution will be notified. Facilities for displaying posters will be made available, and the exact specifications of the poster size will be provided later. At least one student author of each paper that is accepted must register and attend the conference to present their work. Papers with no-shows will be retroactively rejected. SYMPOSIUM CHAIRS Ashok Srinivasan, University of West Florida, USA Dip Sankar Banerjee, Indian Institute of Technology Jodhpur, India TECHNICAL PROGRAM COMMITTEE Ashok Srinivasan (Co-chair), University of West Florida Dip Banerjee (Co-chair), Indian Institute of Technology Jodhpur Mainak Adhikari, Indian Institute of Information Technology Lucknow Vikram Aggarwal, Google Ashish Anand, Indian Institute of Technology Guwahati Jayvant Anantpur, Mentor Graphics India Pvt Ltd Manu Awasthi, Ashoka University Suren Byna, Lawrence Berkeley National Laboratory Venkatachalam Chandrasekaran, Sri Sathya Sai Institute of Higher Learning Mainak Chaudhuri, Indian Institute of Technology Kanpur Meysam Ghaffari, Memorial Sloan Kettering Cancer Center Subramaniam KV, PES University Dumitrel Loghin, National University of Singapore Arash Mahyari, Florida Institute for Human and Machine Cognition Amit Majumdar, University of California San Diego, San Diego Supercomputer Center Sreepathi Pai, University of Rochester Madhura Purnaprajna, PES University Ponnuswamy Sadayappan, University of Utah Fahad Saeed, Florida International University Subodh Sharma, Indian Institute of Technology Delhi Jaya Sreevalsan-Nair, International Institute of Information Technology Bangalore Parimala Thulasiraman, University of Manitoba Hemanth Venkateswara, Arizona State University CONTACT Write to us at student_symposium [AT] hipc [DOT] org for more details.

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Live e-Lecture by Mihaela van der Schaar: “Machine learning for medicine and healthcare”, 21st September 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures
by Ioanna Koroni 15 Sep '21

15 Sep '21

Dear AI scientist/engineer/student/enthusiast, Prof. Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge, a Fellow at The Alan Turing Institute in London, and a Chancellor’s Professor at UCLA. This prominent AI researcher internationally, will deliver the e-lecture: ‘Machine learning for medicine and healthcare’, on Tuesday 21st September 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: <http://www.i-aida.org/event_cat/ai-lectures/> http://www.i-aida.org/event_cat/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/95489189852 & Password: 148148 The <http://www.i-aida.org/> International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects <https://ai4media.eu/> AI4Media, <https://www.elise-ai.eu/> ELISE, <https://www.humane-ai.eu/> Humane AI Net, <https://tailor-network.eu/> TAILOR, <https://www.vision4ai.eu/> VISION, currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) The lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists <https://lists.auth.gr/sympa/info/aida> AIDA email list and <https://lists.auth.gr/sympa/info/cvml> CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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CFP: Parallel Computational Technologies 2022 (Dubna, Russia, March 29–31, 2022)
by Цымблер Михаил Леонидов ич 08 Sep '21

08 Sep '21

FIRST ANNOUNCEMENT AND CALL FOR PAPERS Parallel Computational Technologies (PCT’2022), 16th International Scientific Conference, March 29–31, 2022, Dubna, Russia http://agora.guru.ru/pavt/eng https://link.springer.com/conference/pct Conference founders: Russian Academy of Sciences (http://www.ras.ru) HPC Consortium of Russian Universities (http://hpc-russia.ru) WELCOME Russian Academy of Sciences, High-Performance Computing Consortium of Russian Universities, Moscow State University, Joint Institute for Nuclear Research, and South Ural State University are jointly organizing the 16th International Scientific Conference on Parallel Computational Technologies (PCT’2022) to be held in Dubna, Russia, March 29–31, 2022. The main purpose of the PCT’2022 conference is to provide an opportunity to report and discuss the results achieved by leading research groups in solving practical issues using supercomputer and neural network technologies. The scope of the conference covers all aspects of the application of cloud, supercomputer and neural network technologies in science and technology such as applications, hardware and software, specific languages and packages. The 36th edition of Top50 of the CIS's most powerful computers will be announced on the first day of the conference. On working days of the conference, a supercomputer exhibition will be organized, where leading manufacturers of hardware and software present their latest products in the field of high performance computing. LANGUAGE The official languages of the Conference are Russian and English. SCOPE The scope of the conference includes, but not limited to, the following topics: * Parallel and distributed computing technologies * Cloud computing * Prospective multiprocessor architectures * Parallel and distributed database systems * High performance data mining * Artificial neural networks and deep learning * Management, administration, monitoring and testing of multiprocessor systems * Computational Mathematics * Computational Physics * Computational Chemistry * Gas hydrodynamics and heat transfer * High nonlinear and rapid processes in mechanics * Bioinformatics and medicine * Nanotechnology * Geoinformatics * Cryptography * Image processing and visualization * Computer algebra * Supercomputer education. CALL FOR PAPERS PCT’2022 admits papers presenting original contribution that have not been previously published and are not being submitted to another conference or journal. There are three categories of submissions: * Full paper describes the results of completed scientific research (12 to 15 pages in the LNCS one-column page format). * Short paper reports preliminary results of uncompleted scientific research (up to 12 pages in the LNCS one-column page format). * Abstract of the poster contains information about plans and initial results of recently started scientific research (one standard A4 page). Papers may be prepared in LaTeX or MS Word according to the LNCS one-column page format (see guidelines at the conference website http://agora.guru.ru/pavt2022/, "For Authors" section). Papers should be submitted electronically in PDF format through EasyChair system https://easychair.org/conferences/?conf=pct2022 by December 15, 2021. Each paper will be reviewed by three Program Committee members and/or invited experts to ensure high quality and relevance to the conference. At least one author of the accepted paper must attend the conference and present the paper. PROCEEDINGS All accepted full papers will be published in Springer’s Communications in Computer and Information Science series (https://link.springer.com/conference/pct, indexed in Web of Science and Scopus), final approval pending. All accepted short papers and posters will be published electronically and indexed in Russian Science Index. The best short papers in English will be recommended for publication in Supercomputing Frontiers and Innovations (http://superfri.org, indexed in Scopus, Q2). The best short papers in Russian will be published (after further revision) in Computational Mathematics and Software Engineering series of the Bulletin of the South Ural State University (http://vestnikvmi.susu.ru, indexed in Russian Science Citation Index on the Web of Science platform). IMPORTANT DATES * Submission of abstracts: December 1, 2021 * Submission of the papers: December 15, 2021 * Notification of acceptance: February 1, 2022 * Camera-ready version: February 15, 2022 * Registration for participation in supercomputer exhibition: March 1, 2022 * Registration of participants (non-speakers): March 21, 2022 * Conference: March 28, 2022: arrival date March 29–31, 2022: conference work dates April 1, 2022: departure date CONTACT INFORMATION WEB PAGES Conference web site: http://agora.guru.ru/pavt/eng Submission web site: https://easychair.org/conferences/?conf=pct2022. Leonid Sokolinsky, DSc., Prof. (SUSU, Chelyabinsk) Co-chair of the PCT Program Committee E-mail: Leonid.Sokolinsky(a)susu.ru Tel.: (+7-351) 272 35 00 Mikhail Zymbler, DSc., Assoc. Prof. (SUSU, Chelyabinsk) Academic secretary of the PCT Program Committee E-mail: mzym(a)susu.ru Tel.: (+7-351) 267 90 06, ext. 112 PROGRAM COMMITTEE Chairman of the Program Committee: Viktor Sadovnichiy, academician of RAS, Moscow State University (Russia) Co-chairs of the Program Committee: Jack Dongarra, University of Tennessee (USA) Leonid Sokolinsky, South Ural State University (Russia) Vladimir Voevodin, corresponding member of RAS, Moscow State University (Russia) Academic secretary of the Program Committee: Mikhail Zymbler, South Ural State University (Russia) Members of the Program Committee: S.V. Ablameyko, Belarusian State University (Republic of Belarus) A.P. Afanasiev, Institute for Systems Analysis RAS (Russia) E.N. Akimova, Institute of Mathematics and Mechanics UrB RAS (Russia) A. Andrzejak, Heidelberg University (Germany) P. Balaji, Argonne National Laboratory (USA) Y.Ya. Boldyrev, Saint-Petersburg Polytechnic University (Russia) J. Carretero, Carlos III University of Madrid (Spain) R.K. Gazizov, Ufa State Aviation Technical University (Russia) B.M. Glinsky, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) V.D. Goryachev, Tver State Technical University (Russia) V.P. Il'in, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) H. Kobayashi, Tohoku University (Japan) J. Kunkel, University of Hamburg (Germany) S. Kumar, Rudrapur (India) J. Labarta, Barcelona Supercomputing Center (Spain) A. Lastovetsky, University College Dublin (Ireland) T. Ludwig, German Climate Computing Center (Germany) V.N. Lykosov, Institute of Numerical Mathematics RAS (Russia) D. Mallmann, Julich Supercomputing Centre (Germany) M. Michalewicz, A*STAR Computational Resource Centre (Singapore) V.E. Malyshkin, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) V.Ya. Modorsky, Perm Polytechnic University (Russia) R. Prodan, Alpen-Adria-Universität Klagenfurt (Austria) A.V. Shamakina, High Performance Computing Center in Stuttgart (Germany) P. Shumyatsky, University of Brasilia (Brazil) H. Sithole, Centre for High Performance Computing (Republic of South Africa) A.V. Starchenko, Tomsk State University (Russia) T. Sterling, Indiana University (USA) M. Taufer, University of Delaware (USA) V.E. Turlapov, State University of Nizhny Novgorod (Russia) R. Wyrzykowski, Czestochowa University of Technology (Poland) M.V. Yakobovsky, Institute for Mathematical Modelling RAS (Russia) Y. Yamazaki, Federal University of Pelotas (Brazil)

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Invitation to join Short Course 'Deep Learning and Computer Vision', 6-7th October 2021
by Ioanna Koroni 08 Sep '21

08 Sep '21

Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in the CVML Short e-course on 'Deep Learning and Computer Vision', 6-7th October 2021: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform (Zoom). They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming to improve your programming skills. You will also have accesses to tutorial exercises to better your theoretical understanding of selected CVML topics. This 6th edition of this course is part of the very successful CVML short course series that took place in the last four years. Course description 'Deep Learning and Computer Vision' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (8 hours) provide an in-depth presentation to autonomous systems imaging and the relevant architectures as well as a solid background on the necessary topics of computer vision (Image acquisition, camera geometry, Stereo and Multiview imaging, Mapping and Localization) and machine learning (Introduction to neural networks, Perceptron, backpropagation, Deep neural networks, Convolutional NNs). Part B lectures (8 hours) provide in-depth views of the various topics encountered in autonomous systems perception, ranging from vehicle localization and mapping, to Neural SLAM, target detection and tracking. Part B also contains application-oriented lectures on autonomous drones, cars and marine vessels, e.g., drone mission planning for cinematography and related applications (marine surveillance, infrastructure/building inspection, car vision). Course lectures Part A: (first day, 8 lectures) 1. Introduction to autonomous systems imaging 2. <http://icarus.csd.auth.gr/digital-image-and-videos> Digital Image and Videos 3. <http://icarus.csd.auth.gr/camera-geometry/> Camera geometry 4. <http://icarus.csd.auth.gr/stereo-and-multiview-imaging-lecture> Stereo and Multiview imaging 5. <http://icarus.csd.auth.gr/artificial-neural-networks-perceptron-lecture> Introduction to Artificial Neural Networks. Perceptron 6. <http://icarus.csd.auth.gr/multilayer-perceptron-backpropagation-lecture> Multilayer perceptron. Backpropagation 7. Deep neural networks. <http://icarus.csd.auth.gr/convolutional-neural-networks-lecture> Convolutional NNs 8. Introduction to multiple drone imaging Part B: (second day, 8 lectures) 1. <http://icarus.csd.auth.gr/3d-robot-localization-and-mapping-lecture> Simultaneous Localization and Mapping 2. <http://icarus.csd.auth.gr/neural-slam-lecture/> Neural Slam 3. <http://icarus.csd.auth.gr/deep-object-detection-lecture> Deep Object Detection 4. 2D Visual Object Tracking 5. Drone mission planning and control 6. Introduction to car vision 7. Introduction to autonomous marine vehicles 8. CVML Software Development Tools You can use the following link for course registration: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires, programming exercises and tutorial exercises can be found therein. For questions, please contact: Ioanna Koroni <koroniioanna(a)csd.auth.gr <mailto:koroniioanna@csd.auth.gr> > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 33800+ citations to his work and h-index 86+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) International AI Doctoral Academy (AIDA): http://www.i-aida.org/ 5) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 6) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai gn=sig-email&utm_content=emailclient&utm_term=icon> Virus-free. <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai gn=sig-email&utm_content=emailclient&utm_term=link> www.avast.com -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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Call for Papers - 3rd EduHiPC workshop in conjunction with HiPC-2021
by Sanmukh Kuppannagari 06 Sep '21

06 Sep '21

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computational.science September 2021