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[CFP] ExSAIS 2022: Workshop on Extreme Scaling of AI for Science
by Tumeo, Antonino 04 Dec '21

04 Dec '21

[Please accept our apologies for multiple postings.] CALL FOR PAPERS ******************************************************************************* ExSAIS 2022: Workshop on Extreme Scaling of AI for Science https://hpc.pnl.gov/exsais/ June 3, 2022 Co-Located with IPDPS 2022 Lyon, France ****************************************************************************** Call for Papers --------------- The evolution of machine perception to machine learning and reasoning, and ultimately machine intelligence, has a potential to significantly impact acceleration and advancement of autonomous scientic discovery and the operation of scientic instruments. While machine reasoning will enable intelligent systems to better understand and interact with their physical world, machine intelligence through modeling, simulation and automation, closes the gap between experiments, extreme computing, and scientic discovery. In order to usher in this new era of autonomous science, advances in several areas of artificial intelligence and other disciplines e.g., high-performance computing, data engineering need to come together. Therefore, the goal of this workshop is to bring together researchers from diverse backgrounds to enable extreme scaling of AI for science. This workshop will address the overarching goal of enabling semi-autonomous and autonomous AI-driven predictive and prescriptive scientic discovery at scale by integrating extreme-scale heterogeneous and reconfigurable computing paradigms, multiscale mathematics, physics-based simulation, data sciences and engineering to address challenges across science, scientic instruments, and security domains e.g., biology, chemistry, and material science. Specic areas of interest include: * Algorithms: Advance extreme-scale Artificial Intelligence through algorithmic development in the areas of probabilistic reasoning, multimodal representation learning, natural language processing, robotics, decision making, combinatorial optimization and human-machine interaction. * Implementation and deployment: Enable scalable Artificial Intelligence through advances in distributed and parallel AI algorithms and tools, heterogeneous and reconfigurable computing platforms and paradigms, Exascale systems, and compilers and system software for extreme-scale AI/ML algorithms. * Applications: Discuss application use cases in science domains of importance including computational biology, molecular chemistry, material science, epidemiology, energy and physics. The workshop seeks short and long papers spanning all areas of scaling AI for science, engineering and security domains including but not limited to: * Parallel and distributed algorithms for machine learning, machine reasoning, and machine intelligence at scale. Specic examples include: probabilistic reasoning, data analytics, knowledge representation learning, multi-modal analysis, natural language processing, robotics, decision making, combinatorial optimization and human-machine interaction * Software tools, compilers and system software to enable AI for machine perception and reasoning at scale. Specic examples include PyTorch (and Glow), TensorFlow (and XLA), CNTK, TVM, and the MLIR framework. * Application case studies in all areas of science and engineering such as biology, chemistry, material science, high energy physics, and climate security . IMPORTANT DATES --------------- Position or full paper submission: February 1, 2022 AoE Notification: February 28, 2022 AoE Camera-ready: March 15, 2022 Workshop: June 3, 2022 PAPER SUBMISSIONS --------------- Submission site: https://ssl.linklings.net/conferences/ipdps Authors can submit two types of papers: Short papers (up to 4 pages) and long papers (up to 10 pages). All submissions must be single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. The templates are available at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html. ORGANIZATION --------------- * General co-Chairs Antonino Tumeo (PNNL), antonino.tumeo(a)pnnl.gov Mahantesh Halappanavar (PNNL), hala(a)pnnl.gov * Program co-Chairs Svitlana Volkova (PNNL), svitlana.volkova(a)pnnl.gov Robert Rallo (PNNL), robert.rallo(a)pnnl.gov * Technical Program Committee Nesreen Ahmed, Intel, US Sadaf Alam, CSCS & ETH Zurich, CH Frank Alexander, Brookhaven National Laboratory, US Sanjukta Bhowmick, University of North Texas, US Auroop Ganguly, Northeastern University, US Gauri Joshi, Carnegie Mellon University, US Vipin Kumar, University of Minnesota, US Johannes Langguth, Simula, NO Maxim Naumov, Facebook, US Israt Nisa, Amazon, US Jim Pfaendtner, University of Washington, US Bruno Ribeiro, Purdue University, US Prabhat Ram, Lawrence Berkeley National Laboratory, US Edoardo Serra, Boise State University, US Shaden Smith, Microsoft, US Jordi Torres, Barçelona Supercomputing Center, ES Gina Tourassi, Oak Ridge National Laboratory, US Oriol Vinyals, DeepMind, US Draguna Vrabie, Pacific Northwest National Laboratory, US David Womble, Oak Ridge National Laboratory, US

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Three Deep learning and Computer Vision Postdoc Positions Jointly Supervised in Aristotle University of Thessaloniki, Greece and Henan University, China
by Ioanna Koroni 03 Dec '21

03 Dec '21

Three Deep learning and Computer Vision Postdoc Positions Jointly Supervised in Aristotle University of Thessaloniki, Greece and Henan University, China Position Description Three postdoctoral positions are immediately available at the Data Science and Artificial Intelligence Team/Lab, Henan University; the postdoc fellows will be co-supervised by Prof. Ioannis Pitas from Aristotle University of Thessaloniki, Greece. The postdoc fellows can stay 4-5 months with Prof. Ioannis Pitas at Aristotle University of Thessaloniki, Greece; but they should stay in China for at least 7-8 months per year. Position Location The postdocs will be paid by Henan University, China. They will stay in Aristotle University of Thessaloniki (4-5 months), Thessaloniki, Greece, and Henan University (7-8 months), Kaifeng, China Subject Areas Deep learning and Computer Vision, including but not limited to Object Detection/Recognition, Region Segmentation and related topics. Salary 1800~2200 EUR net per month. Application Deadline December 31st, 2022 Duration of the contract The duration of the contract is 24~36 months, and can be extended up to 48 months. Salary a) The monthly net income of the Postdoctoral researcher is around 1800~2200 EUR (after taxes being deducted), paid by Henan University. b) Additionally, the University will provide a total amount of 100,000 RMB as the candidate's research funding, which can be used for research purposes such as conferences, traveling, meetings, etc. Note: This research funding is once for all, not per year. Note: The Living expenses in Kaifeng is relatively low. For instance, Accommodation cost (two bedrooms, one living room) in Kaifeng is about 150~200 EUR per month. Food cost in KaiFeng is about 100-150 EUR per month. Requirements/Qualifications 1. The successful candidates should hold a PhD degree in machine learning, or computer vision/pattern recognition, or other related fields. 2. At the time of appointment, the applicants must be no more than 35 years old in age. 3. The applicants should have good publication records in the above-mentioned fields. About Aristotle University of Thessaloniki, Greece Artificial Intelligence and Information Analysis Lab ( <https://aiia.csd.auth.gr/> https://aiia.csd.auth.gr/) Aristotle at University of Thessaloniki (AUTH) has one the best R&D records in Europe (72+R&D projects, mostly EC funded). The Department of Informatics at AUTH is ranked 1st among the Greek Universities and 106th internationally in the field of Mathematics & Computer Science for 2019 in the Leiden Ranking list, which mainly depends on the scientific impact and staff publications. It is also ranked 1st among the Greek Universities in the international ranking list Guide2Research, for 2021, having 5 faculty members in the list of top scientists in the scientific area of Computer Science and Electronics. Aristotle University of Thessaloniki (AUTH), established in 1925, is among the most prestigious universities in Greece. Its computer science discipline is ranked #335 in the world in the US News University Ranking 2021. Prof. Ioannis Pitas (34100+ citations, h-index 87) is an IEEE Fellow, EURASIP fellow and a world-renowned professor in multimedia systems and computer vision. Homepage: <https://aiia.csd.auth.gr/computer-vision-machine-learning/#people> https://aiia.csd.auth.gr/computer-vision-machine-learning/#people <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en> https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en About Henan University and KaiFeng, China Henan University has a history of 109 years, and has been selected as the ''Double First Class'' University by the Ministry of Education of China, see http://en.henu.edu.cn/. KaiFeng is a historical city (capital of Song Dynasty) and a famous tourist destination, see https://en.wikipedia.org/wiki/Kaifeng. How to apply Applications are only accepted via Email. All the following documents should be sent to Prof. Ioannis Pitas and Prof. Chongsheng Zhang simultaneously, at pitas(a)csd.auth.gr <mailto:pitas@csd.auth.gr> and chongsheng.zhang(a)yahoo.com, with the email subject ''Postdoc application'': - 1. A cover letter - 2. Full CV and list of publications - 3. Two reference letters. If you have any questions, do not hesitate to contact Prof. Ioannis Pitas and Prof. Chongsheng Zhang via Email. -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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Call for Nominations - IEEE TCSC Award for Excellence for Early Career Researchers - 2021
by Jun Feng 28 Nov '21

28 Nov '21

Call for Nominations - IEEE TCSC Award for Excellence for Early Career Researchers - 2021 ============= The IEEE TCSC (Technical Committee on Scalable Computing) Award for Excellence in Scalable Computing (Early Career Researchers) recognizes up to 5 individuals who have made outstanding, influential, and potentially long-lasting contributions in the field of scalable computing. Typically the candidates are within 5 years of receiving their PhD degree as of January 01 of the year of the award. ============= Nominations: A candidate may be nominated by members of the community.An individual may nominate at most one candidate for this award. Nomination must be submitted via email to the selection committee chair. A nomination application (as a single PDF file) should contain the following details: 1. Name/email of person making the nomination (self-nominations are not eligible); 2. Name/email of candidate for whom the award is recommended; 3. A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award both on excellence and in relation to IEEE TCSC. 4. CV of the nominee; 5. Up three support letters from persons other than the nominator – these should be collected by the nominator and included in the nomination. Members of selection committee cannot be nominators or referees. ============= Important Dates: Nomination Deadline: December 07, 2021 Results Notification: December 15, 2021 ============= Award Selection Committee: Bernady O. Apduhan, Kyushu Sangyo University, Japan, bob(a)is.kyusan-u.ac.jp Jinjun Chen (Chair), Swinburne University of Technology, Australia, jchen(a)swin.edu.au Beniamino Di Martino, Universita' della Campania Luigi Vanvitelli, Italy, beniamino.dimartino(a)unina.it Didier El Baz, LAAS-CNRS, France, elbaz(a)laas.fr ============= Award & Presentation Note: Awardees will be presented a plaque and will be recognized by IEEE TCSC in its website, newsletter and archives. The awards for 2021 will be presented at a selected IEEE TCSC sponsored conference IEEE HPCC 2021.

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Research position at INRIA Bonus France
by El-ghazali Talbi 22 Nov '21

22 Nov '21

Open Research Position at Inria Lille – Nord Europe Research group: BONUS Last annual activity report:https://www.inria.fr/en/inria-ecosystem Attached the PDF version Description ----------- The INRIA research institute (https://www.inria.fr/en/inria-ecosystem) invites applications for multiple permanent researcher positions to start in the 2022-2023 academic year. High performance computing (HPC) and/or Machine Learningassisted big optimization is among its top priorities for the recruitment. This hot topic is a major focus of the BONUS research group, which is part of the INRIA Lille – Nord Europe research center located at Lille (North of France). Qualified applicants in Computer Science are invited to apply with the objective to join the BONUS research group as a permanent researcher. Qualifications -------------- The BONUS team addresses big optimization problems (high-dimensional in decision variables and/or objectives, and/or with computationally expensive black-box functions) using mainly Machine Learning-assisted optimization and High-performance (parallel) optimization. Candidates should hold a Ph.D. or equivalent degree in Computer Science or a related discipline. BONUS is interested in applicants having a strong background in at least one of its research lines: Machine Learning-assisted optimization or parallel optimization. Candidates with only HPC-related profile, highly motivated to adapt their activities to the context of big optimization using HPC in keeping with the BONUS research program, are also invited to apply. Some benefits in addition to the salary --------------------------------------- − Subsidized meals, − Partial reimbursement of public transport costs, − Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.), − Possibility of teleworking (after 6 months of employment) and flexible organization of working hours, − Professional equipment available (videoconferencing, loan of computer equipment, etc.) − Social, cultural and sports events and activities, − Access to vocational training, − Social security coverage. Application Instructions / Contact ----------------------------------- Applicants are asked to contact the leader of the BONUS team, Prof. Nouredine Melab atNouredine.Melab(a)inria.fr. After this contact, if a candidate is encouraged to apply he/she will do it officially through the INRIA online application process that will be soon indicated here:https://www.inria.fr/en/talents ------------------------------ -- ********************************************************************** OLA'2022 International Conference on Optimization and Learning (SCOPUS, Springer) 18-20 July 2022, Syracuse, Sicilia, Italy http://ola2022.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS

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Multiple Open Tenured/Tenure Track Positions at the University of Maryland, Baltimore County (UMBC)
by Sanjay Purushotham 21 Nov '21

21 Nov '21

[Apologies for multiple copies] *Multiple Open Tenured/Tenure Track Positions at UMBC* Application link for multiple open rank positions at UMBC: *http://apply.interfolio.com/96156 <http://apply.interfolio.com/96156>* Application link for Open Rank position in the Dept. of Information Systems: https://apply.interfolio.com/96731 Application link for Lecturer or Professor of the Practice positions in the Dept. of Information Systems: https://apply.interfolio.com/94398 The College of Engineering and Information Technology at the University of Maryland Baltimore County (UMBC) is seeking to build on our strengths in research that intersects human health by making multiple hires at all levels. Examples of research areas include but are not limited to: ethical AI for healthcare data, community centered data science to understand health inequities, AI analysis of biomedical images for screening and diagnosis, user inspired design for rehabilitation engineering, work to understand the relationship between air quality and health inequities, and development of novel engineered therapeutics. There are many exciting areas at the intersection of health, engineering, and computing, and we are looking forward to seeing applications from candidates interested in these intersectional research areas. As part of the interview process, candidates will have the opportunity to meet with departments and select the department where they feel they will be most successful. At UMBC, we advance knowledge, economic prosperity, and social justice by welcoming and inspiring inquisitive minds from all backgrounds. We are a dynamic public research university integrating teaching, research, and service to benefit the citizens of Maryland. We offer academically talented students a strong undergraduate foundation that prepares them for graduate and professional study, entry into the workforce, and community service and leadership. At the graduate level, we emphasize science, engineering, information technology, human services, and public policy. Additionally, we contribute to the economic development of the State and the region through entrepreneurial initiatives, workforce training, K-16 partnerships, and technology commercialization in collaboration with public agencies and the corporate community. UMBC is located near Johns Hopkins Medical School, the University of Maryland Medical School, NIH, NIST, and DoD medical research command at Ft. Detrick. There are phenomenal opportunities to collaborate with colleagues across universities as well as government research labs and foundations. The HHMI Janelia Research Campus is less than an hour from UMBC. The College of Engineering and Information Technology has four departments: Information Systems, Computer Science and Electrical Engineering, Mechanical Engineering, and Chemical, Biochemical, and Environmental Engineering. The College is a collaborative environment where faculty are encouraged and supported to collaborate across disciplines both at UMBC and with researchers in other institutions. Community engaged research is also strongly supported both by the College and by the Shriver Center that for over 30 years has been dedicated to community connections and engagement. UMBC is located in Baltimore County, 10 minutes from downtown Baltimore. Our faculty live and work in the city as well as in the broader Maryland region. The area is vibrant with fantastic theater, arts, restaurants, and outdoor activities minutes from campus. Candidates must have a PhD by June 2022 to be considered for a position. We are particularly interested in receiving applications from individuals who are members of groups that have been historically excluded from the professoriate. UMBC is a minority serving institution, and it is important to us that our faculty reflect the diversity of our incredible students. *APPLICATION REQUIREMENTS Electronic submission of applications is required at* *http://apply.interfolio.com/96156 <http://apply.interfolio.com/96156>* All applications must be submitted as PDF files. Individual applications will not be reviewed until all five of the following materials are received: 1) Cover letter 2) Curriculum Vitae 3) Statement regarding one’s experience and commitment to diversity and inclusion 4) Research statement 5) Teaching statement 4) Names and contact information of at least three references For inquiries, please send email to elavik(a)umbc.edu. Review of applications will begin on November 30, 2021 and will continue until the position is filled, subject to the availability of funds. For best consideration, please submit all application materials by this date. UMBC was established upon the land of the Piscataway Conoy and Susquehannock peoples. Over time, citizens of many more Indigenous nations have come to reside in this region. We humbly offer our respects to all past, present, and future Indigenous people connected to this place. UMBC is an Affirmative Action/Equal Opportunity Employer and welcomes applications from minorities, women, veterans, and individuals with disabilities. ========= The Department of Information Systems (IS) at UMBC invites applications for an *open rank tenure-track faculty position* starting August 2022. Successful candidates will complement and extend our current strengths. More information about research interests of our faculty can be found at https://informationsystems.umbc.edu/home/research/areas-of-research/. *Our department’s research is highly* *interdisciplinary*. Candidates with research interests cross-cutting multiple areas are particularly encouraged to apply. Candidates must have earned a Ph.D. in related fields no later than August 2022. The Department has 36 full-time faculty and over 1,600 students, including over 80 PhD students. The department offers undergraduate degrees in Information Systems and Business Technology Administration. Graduate degree programs, MS and PhD, are offered in both Information Systems and Human-Centered Computing, including an innovative online MS program in IS. In addition, the Department houses the Master’s in Health Information Technology and the Master’s in Software Engineering, both as professional degree programs. Our faculty are actively engaged in collaborative interdisciplinary research within and across departments and institutions. Five of our current faculty have received NSF CAREER awards. IS faculty members lead four research centers: the Center for Real-time Distributed Sensing and Autonomy (CARDS), the Interactive Systems Research Center (ISRC), NSF HDR institute for Harnessing Data and Model Revolution in the Polar Regions (iHARP), and the UMBC site of the Center for Advanced Real Time Analytics (CARTA). Further details can be found at https://informationsystems.umbc.edu/. Detailed information of this hiring can be found at https://apply.interfolio.com/96731. In addition, our department is also hiring two positions for *Lecturer* or *Professor of the Practice starting either Spring semester 2022 or Fall semester 2022*. More details can be found at https://apply.interfolio.com/94398.

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[Deadline Extended] CFP : International Workshop on Statistical Methods and Artificial Intelligence (IWSMAI 2022)
by abdallah abarda 20 Nov '21

20 Nov '21

*International Workshop on **Statistical Methods and Artificial Intelligence* *(IWSMAI 202**2**)* *March 22 - 25, 202**2**, PORTO, PORTUGAL.* https://sites.google.com/view/iwsmai/home The aim of IWSMAI is to bring together researchers, professors and students from around the world to present their latest ideas and research results within the scope of IWSMAI 2022. This workshop will also provide an ideal environment to develop new collaborations and meet experts on the fundamentals, applications, and products of Statistical Methods and Artificial Intelligence fields. The workshop will include presentations of contributed papers, poster sessions, and state of the art lectures by invited keynote speakers. *Topics:* · Artificial Intelligence · Statistical methods · Data Analysis and Data mining · Computational Statistic · Supervised and unsupervised learning · Statistical methodology · Bioinformatics · Medical statistics · Deep Learning · Intelligent Transportation Systems · Data Collection and Applications · Data Science and Blockchain Technology · Data Science and Artificial Intelligence · Big Data · Mathematical Statistics · Economic intelligence · Statistical Software (R, SAS, Python) All accepted papers will be scheduled for oral presentations and will be included in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series on-line (indexed by *Scopus)* Selected papers will be invited for publication, in the special issues of: -International Journal of Ambient Intelligence and Humanized Computing (IF: 1.588), by Springer: https://www.springer.com/journal/12652 - International Journal on Transportation Research Part A: Policy and Practice (IF: 3.69): https://www.journals.elsevier.com/transportation-research-part-a-policy-and… - International Journal of Computing and Informatics (IF: 0.504): http://www.cai.sk/ojs/index.php/cai/index [image: image.png] [image: image.png] *Important Dates:* · Paper submission deadline: * December 20, 2021 * · Notification of acceptance: *January 10, 2022* · Camera-ready submission: *January** 20 **, 2022* · Final Manuscript Due : *Mars 22-25, 2022* *Contact :* Email: abdallah.abarda(a)uhp.ac.ma --

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CFP to Special Issue in TCBB on Deep Learning-Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare - Deadline Dec. 30, 2021
by Xiaokang Zhou 18 Nov '21

18 Nov '21

[Apologies for multiple postings] Dear Professor(Dr.), It is my pleasure and honor to share this CFP in IEEE/ACM Transactions on Computational Biology and Bioinformatics. Please consider submitting a paper to a Special Issue on "Deep Learning Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare" for TCBB. The deadline is Dec. 30, 2021. Also, please kindly help distribute the CFP (see following) and encourage your colleagues, friends, and students to make submissions. Your strong supports are highly appreciated. [TCBB Call for Papers] https://www.computer.org/digital-library/journals/tb/call-for-papers-specia… ===================================================================================================== IEEE/ACM Transactions on Computational Biology and Bioinformatics Special Issue on Deep Learning-Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare ---------------------------------------------------------------------------------------------------------------------------------------------- Aims and Scope Deep learning and big data analysis are among the most important research topics in the fields of biomedical applications and digital healthcare. With the fast development of AI and IoT technologies, deep learning for big data analytics, including affective learning, reinforcement learning, and transfer learning, are widely applied to sense, learn, and interact with human health. Examples of biomedical application include smart biomaterials, biomedical imaging, heartbeat/blood pressure measurement, and eye tracking. These biomedical applications collect healthcare data through remote sensors and transfer the data to a centralized system for analysis. With an enormous amount of historical data, deep learning and big data analysis technologies are able to identify potential linkage between features and possible risks, raise important decision for medical diagnosis, and provide precious advice for better healthcare treatment and lifestyle. Although significant progress has been made with AI, deep learning, and big data analysis technologies for medical and healthcare research, there remain gaps between the computer-aided treatment design and real-world healthcare demands. In addition, there are unexplored areas in the fields of healthcare and biomedical applications with cutting-edge AI and deep learning technologies. Therefore, exploring the possibility of deep learning and big data analysis technology in the fields of biomedical applications and healthcare is in high demand. Topics of interest include (but are not limited to): • Deep learning in medicine, human biology, and healthcare • Deep learning-based clinical decision making • Deep learning in biomedical applications • Deep learning in medical and healthcare education • Deep learning-based computer vision on medical images • Big data with smart computing in bioinformatics and biomechanics • Big data analytics for human biology and healthcare services • Big data with intelligent IoT for smart healthcare • Big data analytics in biomedical services • Knowledge-based or agent-based models for biological systems • Distributed systems in medical and healthcare services • Intelligent devices and instruments for medical and healthcare services • Intelligent and process-aware information systems in human biology, healthcare, and medicine Submissions Authors should prepare their manuscript according to the Author Information of IEEE/ACM Transactions on Computational Biology and Bioinformatics available from https://www.computer.org/csdl/journal/tb, and submit online at: https://mc.manuscriptcentral.com/tcbb-cs. To ensure that the manuscript is correctly identified for inclusion into the special issue, authors must select "SI - Deep Learning-Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare" when they reach the “Article Type” step in the submission process. Important Dates Paper Submission Deadline: December 30, 2021 First Round of Reviews Deadline: March 30, 2022 Submission of Revision Deadline: May 30, 2022 Second Round of Reviews Deadline: July 30, 2022 Decision of Acceptance Deadline: August 30, 2022 Guest Editors • Xiaokang Zhou, Shiga University, Japan • Carson Leung, University of Manitoba, Canada • Kevin Wang, The University of Auckland, New Zealand • Giancarlo Fortino, University of Calabria, Italy Contact Information Dr. Zhou (zhou(a)biwako.shiga-u.ac.jp) -- Xiaokang Zhou (周暁康), Ph.D. Associate Professor Faculty of Data Science, Shiga University 1-1-1 Banba, Hikone, Shiga 522-8522, Japan Email: zhou(a)biwako.shiga-u.ac.jp Phone: +81-749-27-1290

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CFP: Int. Conf. on Image Processing Theory, Tools, and Applications (IPTA'22)
by Andreas Uhl 16 Nov '21

16 Nov '21

==================================================================================================================== Call for Papers (CFP): 11th International Conference on Image Processing Theory, Tools and Applications (IPTA 2022) http://www.ipta-conference.com/ipta22/ Salzburg, Austria, 19.04. - 22.04.2022 ==================================================================================================================== The eleventh International Conference on Image Processing Theory, Tools and Applications IPTA 2022 aims at gathering international researchers, innovators, educators, and practitioners in image processing for attending extensive educational high level materials, sharing their achievements, exchanging their experiences and discussing future orientations. The conference aims to provide an excellent forum to meet and discuss various important issues on image processing and applications. Topics include but are not limited to: Image formation, scanning, display and printing Image and video processing, coding and compression Pattern recognition and computer vision Perceptual analysis of images and video Image forensics and security Machine Learning methods for image and video analysis Virtual and augmented reality Artificial Intelligence for weather and climate modelling Applications IPTA'22 is organised in parallel with the International Workshop on Biometrics and Forensics (IWBF'22) at the same location during the same time to provide the possibility to exploit synergies betweeen the two events (see http://iwbf22.cs.sbg.ac.at/) SUBMISSION ========== Papers must be submitted in English and formatted according to the instructions given at http://www.ipta-conference.com/ipta22/index.php/submission. Accepted papers will be published at IEEE Xplore. A selection of the best (and topically connected) papers from the conference will be invited to submit an extended version to special issues of journals. Please check and carefully follow the instructions provided in the templates which contains detailed instructions on formatting your document. Authors should submit a paper maximum of 6 pages including figures and references, carefully checked for correct grammar and spelling, using the on-line submission procedure indicated on the web-page. Authors are required to remove their names and affiliations as well as obvious self-citations in their papers to enable a double-bling refereeing procedure. Please also watch out for the Special Sessions to be accepted @ IPTA'22, which will be announced in a rolling procedure until mid December. There is a call for special sessions at the IPTA 2022 wich is open until 30.11.2021, for more information see http://www.ipta-conference.com/ipta22/index.php/call-for-special-session. Paper Submission Deadline ========================= January 10th, 2022. -- --------------------------------------------------------------- | Andreas Uhl | Salzburg University | | ++43 662 8044 6303 | Department of Computer Sciences | | uhl(a)cs.sbg.ac.at | Jakob-Haringerstr.2 | | www.wavelab.at | 5020 Salzburg Austria Europe | ---------------------------------------------------------------

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Deadline Extended: Australasian Symposium on Parallel and Distributed Computing (AusPDC), Nov 29
by Bahman Javadi 15 Nov '21

15 Nov '21

(Apologies if you received duplicate copies of this CFP) ============================ AusPDC 2022 will be held online in conjunction with Australasian Computer Science Week (ACSW 2022), 14 - 18 February 2022 (http://acsw.core.edu.au/) **SCOPE OF THE SYMPOSIUM** In 2010, AusGrid event was broadened to include all aspects of parallel and distributed computing and hence was called as Australasian Symposium on Parallel and Distributed Computing (AusPDC). Following a couple of successful events, it comes to the 20th in 2022 in the series. In both New Zealand and Australia parallel and distributed computing has been recognised as strategic technologies for driving their moves towards knowledge economies. The symposium is primarily targeted at researchers from Australia and New Zealand, however, in the spirit of parallel and distributed computing, which aims to enable collaboration of distributed virtual organizations, and also the conference being held online this year, we encourage papers and participation from international researchers. **TOPICS OF INTEREST** - Cloud computing - Fog/edge computing - Grid and Cluster computing - Big Data processing and analytics - Virtualization, containers, unikernels, orchestration and other enablers - Security, trust and privacy in Clouds/Fog/Edge - Mobile, sensor networks and Internet of things - Data storage, placement and replication - Distributed Ledger Technologies and Blockchains - Multi-core systems - Peer-to-peer computing - GPUs and other forms of special-purpose processors - Service computing and workflow management - Managing large distributed data sets - Middleware and tools - Network function virtualisation and Software-defined networks - Performance evaluation and modelling -Datacentre and Interconnection networks - Performance accelerators - Problem-solving environments - Parallel programming models, languages and compilers - Operating systems and runtime systems - Resource scheduling and load balancing - Data mining and machine learning - Computational Science and Engineering - Agent-based computing - Reliability, security, privacy and dependability - e-Science and e-Health Applications **IMPORTANT DATES** Paper submissions due: 19 November 2021 (29 November 2021 - extended) Author notification: 19 December 2021 Camera-ready full papers due: 14 January 2021 Conference dates: 14 - 18 February 2022 All dates refer to 23:59, anywhere on earth (AoE) on that day. **PAPER SUBMISSION** The proceedings of the symposium will be published by ACM in conjunction with ACSW 2022. Papers should be formatted in double-column according to ACM conference paper formatting guidelines ACM SIG Proceedings Templates. The following guidelines must be met for all submissions: - Submissions must be in English. - Submissions must not exceed 10 pages for full papers, 4 pages for short papers and 2 pages for posters. - Submissions must be in PDF format. Other formats will not be accepted. - Submissions must clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to other work. - Submissions must be original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this conference. - Authors must choose the appropriate satellite conference or workshop for your submission Papers are to be submitted via the ACSW 2022 Easy Chair Submission Site ( https://easychair.org/my/conference?conf=acsw2022) Upon logging into the system, please select “New Submission”, then select "Australasian Symposium on Parallel and Distributed Computing" track and proceed through the steps for submission. Every submission will be reviewed by a minimum of three members of the program committee. **PAPER AWARDS** A selection commission chaired by the AusPDC technical programme committee will select and acknowledge the best paper and the best student paper to receive an award during the conference. Committee **GENERAL CO-CHAIRS** Rajkumar Buyya, University of Melbourne, Australia Bahman Javadi, Western Sydney University, Australia **PROGRAM COMMITTEE CHAIRS** Adel N. Toosi, Monash University, Australia Sara Khalifa, CSIRO’s Data61, Australia **STEERING COMMITTEE** Schahram Dustdar, Technical University of Vienna, Austria Zahir Tari, RMIT University, Australia Salil Kanhere, University of New South Wales, Sydney, Australia Yun Yang, Swinburne University of Technology, Australia Javid Taheri, Karlstad University, Sweden **VENUE** Due to COVID-19, AusPDC 2022 will be held online this year. **CONTACT** All questions about submissions should be emailed to program chairs. For further information, see https://sites.google.com/monash.edu/auspdc2022

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[Call for Participation] 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'21)
by haotianshu＠ict.ac.cn 11 Nov '21

11 Nov '21

[Apologies if you receive multiple copies] ======================================================================== 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'21) http://www.benchcouncil.org/bench21/index.html * Fully online, Nov. 14-16, 2021, beginning at 8 am EST (UTC-5) * Free registration Highlights (1) BenchCouncil Achievement Award Lecture, Prof. Jack Dongarra, University of Tennessee. (2) Three BenchCouncil Rising Star Award Lectures, The primary Contributors of the MLPerf and AIBench Projects. Dr. Peter Mattson from Google, Prof. Dr. Vijay Janapa Reddi from Harvard University, and Dr. Wanling Gao from the Chinese Academy of Sciences. (3) Four finalists for the 2021 BenchCouncil Distinguished Doctoral Dissertation Award. Dr. Romain Jacob from ETH Zurich; Dr. Pei Guo from the University of Maryland; Dr. Belen Bermejo from the University of the Balearic Islands; and Dr. Kai Shu from IIT. (4) Four exciting Tutorials on benchmarking Cloud DB, performance monitoring, MPI, and DataBench toolbox. ======================================================================== Full Program ------------------------ https://www.benchcouncil.org/bench21/program.html Virtual Event Platform ---------------------- The virtual conference will consist of a live stream of the keynotes and paper sessions, with the opportunity for questions and answers with the presenters. Pre-recorded videos of paper presentations (not keynotes) will be provided before the conference. The conference will use Zoom for talks. Registered participants will be provided with details on how to access the conference. Free Registration (It may be blocked in some countries, please use the VPN) ------------------------ https://docs.google.com/forms/d/e/1FAIpQLSe1T3P-eo8DptOA6IMXSnICtEUK5Ez4t7p…

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Multiple Open Tenured/Tenure Track Positions at UMBC
by Sanjay Purushotham 06 Nov '21

06 Nov '21

[Apologies for multiple copies] Application link: https://apply.interfolio.com/96156 *Multiple Open Tenured/Tenure Track Positions at UMBC* The College of Engineering and Information Technology at the University of Maryland Baltimore County (UMBC) is seeking to build on our strengths in research that intersects human health by making multiple hires at all levels. Examples of research areas include but are not limited to: ethical AI for healthcare data, community centered data science to understand health inequities, AI analysis of biomedical images for screening and diagnosis, user inspired design for rehabilitation engineering, work to understand the relationship between air quality and health inequities, and development of novel engineered therapeutics. There are many exciting areas at the intersection of health, engineering, and computing, and we are looking forward to seeing applications from candidates interested in these intersectional research areas. As part of the interview process, candidates will have the opportunity to meet with departments and select the department where they feel they will be most successful. At UMBC, we advance knowledge, economic prosperity, and social justice by welcoming and inspiring inquisitive minds from all backgrounds. We are a dynamic public research university integrating teaching, research, and service to benefit the citizens of Maryland. We offer academically talented students a strong undergraduate foundation that prepares them for graduate and professional study, entry into the workforce, and community service and leadership. At the graduate level, we emphasize science, engineering, information technology, human services, and public policy. Additionally, we contribute to the economic development of the State and the region through entrepreneurial initiatives, workforce training, K-16 partnerships, and technology commercialization in collaboration with public agencies and the corporate community. UMBC is located near Johns Hopkins Medical School, the University of Maryland Medical School, NIH, NIST, and DoD medical research command at Ft. Detrick. There are phenomenal opportunities to collaborate with colleagues across universities as well as government research labs and foundations. The HHMI Janelia Research Campus is less than an hour from UMBC. The College of Engineering and Information Technology has four departments: Information Systems, Computer Science and Electrical Engineering, Mechanical Engineering, and Chemical, Biochemical, and Environmental Engineering. The College is a collaborative environment where faculty are encouraged and supported to collaborate across disciplines both at UMBC and with researchers in other institutions. Community engaged research is also strongly supported both by the College and by the Shriver Center that for over 30 years has been dedicated to community connections and engagement. UMBC is located in Baltimore County, 10 minutes from downtown Baltimore. Our faculty live and work in the city as well as in the broader Maryland region. The area is vibrant with fantastic theater, arts, restaurants, and outdoor activities minutes from campus. Candidates must have a PhD by June 2022 to be considered for a position. We are particularly interested in receiving applications from individuals who are members of groups that have been historically excluded from the professoriate. UMBC is a minority serving institution, and it is important to us that our faculty reflect the diversity of our incredible students. *APPLICATION REQUIREMENTS Electronic submission of applications is required at* *http://apply.interfolio.com/96156 <http://apply.interfolio.com/96156>* All applications must be submitted as PDF files. Individual applications will not be reviewed until all five of the following materials are received: 1) Cover letter 2) Curriculum Vitae 3) Statement regarding one’s experience and commitment to diversity and inclusion 4) Research statement 5) Teaching statement 4) Names and contact information of at least three references For inquiries, please send email to elavik(a)umbc.edu. Review of applications will begin on November 15, 2021 and will continue until the position is filled, subject to the availability of funds. For best consideration, please submit all application materials by this date. UMBC was established upon the land of the Piscataway Conoy and Susquehannock peoples. Over time, citizens of many more Indigenous nations have come to reside in this region. We humbly offer our respects to all past, present, and future Indigenous people connected to this place. UMBC is an Affirmative Action/Equal Opportunity Employer and welcomes applications from minorities, women, veterans, and individuals with disabilities.

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CFP: The 22th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022)
by Bahman Javadi 31 Oct '21

31 Oct '21

The 22th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022) in conjunction with the 6th IEEE International Conference on Fog and Edge Computing (ICFEC 2022) May 16-19, 2022, Taormina, Sicily, Italy* http://fcrlab.unime.it/ccgrid22/ < https://protect-au.mimecast.com/s/10-2CP7yBlsK1JVo5fzWQup?domain=fcrlab.uni… > Sponsored by: IEEE Computer Society / Technical Committee on Scalable Computing ACM SIGARCH Hosted/Organised by: * University of Messina, Italy * Cardiff University, UK * University of Klagenfurt, Austria * Ohio State University, USA * Future Computing Research LAB (FCRLAB), Italy ============================================================================= *The safety and well-being of all conference participants is our priority. The CCGrid organizers are closely monitoring the developments of COVID-19. Call For Papers The 22nd IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022) is a leading forum to disseminate and discuss research activities and results on a broad range of topics in distributed systems, ranging from computing Clusters to widely distributed Clouds and emerging Internet computing paradigms such as Fog/Edge Computing for Internet of Things (IoT)/Big Data applications. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2022 conference. We solicit original contributions on all aspects of distributed systems and applications in the context of Cluster, Cloud, and Internet computing environments. Specific topics of interest include but are not limited to the following: Track 1: Future Internet computing systems Topics in the track: - Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming, Highly decentralized approaches to cloud computing. Edge/Fog computing, sensor data streaming and computation on the edges of the network. Function as a Service (Faas), Backend as a Service (BaaS), serverless computing, lambda computing. - Future Internet: 5G/6G and Use cases of 5G/6G system. Software defined networking and 5G/6G. 5G/6G cyber security challenges and concerns Machine learning algorithms for 5G/6G systems; - Osmotic Computing: Cloud Continuum with Osmosis behaviors, Micro Services and MicroData, Software Defined Membranes; - Cloud-Economics: Trustworthiness of services, ecosystem economics, innovative metering, accounting, and billing methods and tools, automated trading and bidding support tools, performance monitoring, optimization, prediction, energy efficiency, sustainability, decision support systems. Track 2: Programming models and runtime systems Topics in the track: - Programming Models and Runtime Systems: Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems. Track 3: Distributed middleware and network architectures Topics in the track: - Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service composition and orchestration. Software-Defined Network-enabled Systems. Micro-datacenter, cloudlet, edge, or fog computing infrastructure. Virtualized hardware: GPUs, tensor processing units, FPGAs; - Cloud-to-Things continuum: Service provisioning and monitoring in a Cloud-to-Things environment; Resource elasticity in Cloud-to-Things contexts; Algorithms and systems for automated elasticity; Blockchain-based resource orchestrator; Machine learning techniques for resource orchestration; Security policies in Cloud-to-Things. Track 4: Storage and I/O systems Topics in the track: - Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge. Track 5: Security, privacy, trust and resilience Topics in the track: - Cyber-Security, Privacy and Resilient Distributed Systems: Distributed. Systems security and trust Access control. Data privacy and integrity.. Regulation. Resiliency of service attacks. Track 6: Performance modeling, scheduling, and analysis Topics in the track: - Resource Management and Scheduling: Resource allocation algorithms, profiling, modeling. Cluster, cloud, and internet computing scheduling and meta-scheduling techniques; - Performance Modelling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance. Track 7: Sustainable and green computing Topics in the track: - Sustainable and Green Computing: Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness. Track 8: Scientific and industrial applications Topics in the track: - Applications: Data Science, Artificial Intelligence, Machine Learning, Cyber-Physical Systems, e-Health, Internet of Things (IoT)-enabled Smart Systems and Applications; - Digital Twins: Digital Twins and Industry 4.0. Digital Twins and emerging technologies linked to IoT Platforms. Digital Twin the virtual replica of a physical entity. Track 9: Artificial intelligence, Machine Learning and Deep Learning Topics in the track: - Artificial Intelligence: Large Scalable Machine Learning, AI at the Edge and in the Cloud. Cognitive computing; - Machine learning: deep learning, statistical learning, natural language processing, computer vision, data mining, multiagent systems, knowledge representation; - Applicative domains: healthcare, sustainability, transportation, commerce,neuroscience and cognitive science; - Quantum machine learning. ================================================================================ Paper Submission: ================= Authors are invited to submit papers electronically through the following link: https://fcrlab.unime.it/ccgrid22/paper-submission/ < https://protect-au.mimecast.com/s/nR_HCQnzDmsk1JZ3NCP0BrY?domain=fcrlab.uni… > Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, 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, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the conference chairs for more information. The proceedings will be published through the IEEE Press, USA and will be made online through the IEEE and ACM Digital Libraries. Important Dates: ================== Timezone: Anywhere in the world! Paper Due (Abstract): 24 November 2021 (Final paper submission: 01 December 2021) Full Paper Due: 01 December 2021 Acceptance Notification: 04 February 2022 Camera Ready Papers Due: 06 March 2022 Best Paper Awards: ================== CCGrid will present Best Paper Awards to the author(s) of top three papers selected by the Program Committee. The award will be determined based on review comments and ratings, viewpoints of the technical and scientific merits, impact on the science and engineering of the research work and the clarity of presentation of the research contents in the paper. Journal Special Issue: ====================== Highly top rated papers from the CCGrid 2022 conference will be invited for submission of extended version for publication in one of the following special issues: - "Software: Practice and Experience" Journal published by Wiley Press; - "Green Communications via Optimization Techniques" for Sustainable Computing: Informatics and Systems published by Elsevier. General Co-Chairs: ================== Massimo Villari, University of Messina , Italy Omer Rana , Cardiff University, UK Program Committee Co-Chairs: ============================= Maria Fazio, University of Messina, Italy Radu Prodan University of Klagenfurt Austria Dhabaleswar K. (DK) Panda Ohio State University. USA Workshop Co-Chairs: ============================== Haiying Shen, University of Virginia, USA Antonio Celesti, University of Messina, Italy Publicity Co-Chairs: ============================== Jithin Jose, Microsoft, USA Bahman Javadi, Western Sydney University, Australia Ching-Hsien Hsu, National Chung Cheng University, Taiwan Carlos Westphall, Federal University of Santa Catarina, Brazil Zhicheng Cai, Nanjing University of Science and Technology, China Helene Coullon, Inria, France Sukhpal Singh Gill, Queen Mary University of London, UK Antonino Galletta, University of Messina, Italy Vice Chairs: ============================== Track 1: Future Internet computing systems: Hai Jin, Huangzong University of Science and Technology, China Lydia Y. Chen, TU Delft, Netherlands Track 2: Programming models and runtime systems: Taisuke Boku, University of Tsukuba, Japan Martin Schulz, Technical University of Munich, Germany Track 3: Distributed middleware and network architectures: Nectarios Koziris, National Technical University of Athens, Greece Hari Subramoni, Ohio State University, USA Track 4: Storage and I/O systems: Suren Byna, Lawrence Berkeley National Laboratory, USA Maria S. Perez, Universidad Politecnica de Madrid, Spain Track 5: Security, privacy, trust and resilience: Erman Ayday, Case Western Reserve University, USA Richard Sinnott, University of Melbourne, Australia Track 6: Performance modeling, scheduling, and analysis: Sameer Shende, University of Oregon, USA Ana Lucia Varbanescu, University of Amsterdam, Netherlands Track 7: Sustainable and green computing: Young Choon Lee, Macquarie University, Australia Wu Feng, Virginia Tech, USA Track 8: Scientific and industrial applications: Vipin Chaudhary, Case Western Reserve University, USA Dana Petcu, West University of Timisoara, Romania Track 9: Artificial intelligence, Machine Learning and Deep Learning: Manish Parashar, University of Utah, USA Ashiq Anjum, University of Leicester, UK CCGrid Steering Committee: ========================= Henri Bal, Vrije University, The Netherlands Pavan Balaji, Argonne National Laboratory, USA Rajkumar Buyya, University of Melbourne, Australia Franck Capello, University of Paris-Sud, France Jesus Carretero, Universidad Carlos III de Madrid, Spain Ewa Deelman, University of Southern California/ISI, USA Marios Dikaiakos, University of Cyprus, Cyprus Jack Dongarra, University of Tennessee & ORNL, USA Tarek El-Ghazawi, George Washington University, USA Dick Epema, Technical University of Delft, The Netherlands Thomas Fahringer, University of Innsbruck, Austria Ian Foster, University of Chicago, USA Wolfgang Gentzsch, UberCloud, Germany Hai Jin, Huazhong University of Science & Technology, China Craig Lee, The Aerospace Corporation, USA Laurent Lefevre, INRIA, France Manish Parashar, Rutgers: The State University of New Jersey, USA Shikharesh Majumdar, Carleton University, Canada Satoshi Matsuoaka, Tokyo Institute of Technology, Japan George Pallis, University of Cyprus, Cyprus Dhabaleswar K Panda, The Ohio State University, USA Omer Rana, Cardiff University, UK Paul Roe, Queensland University of Technology, Australia Bruno Schulze, LNCC, Brazil Yogesh Simmhan, Indian Institute of Science, India Xian-He Sun, Illinois Institute of Technology, USA Nalini Venkatasubramanian, University of California, USA Carlos Varela, Rensselaer Polytechnic Institute, USA. Massimo Villari, University of Messina, Italy Cho-Li Wang, University of Hong Kong, China Cheng-Zhong Xu, University of Macau, China ================================================================================

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Call for Participation ScalA@SC: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
by Engelmann, Christian 29 Oct '21

29 Oct '21

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA21: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC21: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with the IEEE Computer Society Technical Consortium on High Performance Computing (TCHPC) November 19, 2021, St. Louis, MO, USA (Virtual Event) <http://www.csm.ornl.gov/srt/conferences/Scala/2021> 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. With the advent of Big Data and AI in the past few years the need of such scalable mathematical methods and algorithms able to handle data and compute intensive applications at scale becomes even more important. 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. Workshop Program --------------- The workshop will be held as a live online session on Friday, November 19 2021, 8:30 - 12:00 in the US Central Standard Time Zone. The workshop program is also listed in the SC online program: Session - 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems<https://sc21.supercomputing.org/session/?sess=sess334>. * 8:30 - 10:00 Session 1 * 8:30 - 8:40 Opening * 8:40 - 9:20 Invited talk: "Intelligent Simulations: How Combining AI and HPC Can Enable New Discoveries", Prof. Ian Foster (University of Chicago and Argonne National Laboratory) (Abstract)<https://www.csm.ornl.gov/srt/conferences/Scala/2021/foster.html> * 9:20 - 9:40 Paper 1: "Iterative methods with mixed-precision preconditioning for ill-conditioned linear systems in multiphase CFD simulations," Takuya Ina, Yasuhiro Idomura, Toshiyuki Imamura, Susumu Yamashita, and Naoyuki Onodera * 9:40 - 10:00 Paper 2: "Optimized Cascadic Multigrid Parareal Method for Explicit Time-Marching Scheme," Yen-Chen Chen and Kengo Nakajima * 10:00 - 10:30 Coffee break (coffee on your own) * 10:30 - 12:00 Session 2 * 10:30 - 10:50 Paper 3: "Unleashing the performance of bmSparse for the sparse matrix multiplication in GPUs," Gonzalo Berger, Manuel Freire, Renzo Marini, Ernesto Dufrechou, and Pablo Ezzatti * 10:50 - 11:10 Paper 4: "Passel: Improved Scalability and Efficiency of Distributed SVM using a Cacheless PGAS Migrating Thread Architecture," Brian Page and Peter Kogge * 11:10 - 11:30 Paper 5: "Batched Sparse Iterative Solvers for Computational Chemistry Simulations on GPUs," Isha Aggarwal, Aditya Kashi, Pratik Nayak, Cody J. Balos, Carol S. Woodward, and Hartwig Anzt * 11:30 - 11:50 Paper 6: "Usability of Markov Chain Monte Carlo preconditioners in practical problems," Anton Lebedev, Vassil Alexandrov, and Emre Sahin * 11:50 - 12:00 Closing Best regards, Christian Engelmann, Oak Ridge National Laboratory, USA (Workshop Program Co-chair) on behalf of, Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council, UK (Workshop Co-chair) Al Geist, Oak Ridge National Laboratory, USA (Workshop Co-chair) Jack Dongarra, University of Tennessee, Knoxville, USA (Workshop Co-chair)

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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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CFP: Australasian Symposium on Parallel and Distributed Computing (AusPDC), Feb 2022
by Bahman Javadi 26 Oct '21

26 Oct '21

AusPDC 2022 will be held online in conjunction with Australasian Computer Science Week (ACSW 2022), 14 - 18 February 2022 (http://acsw.core.edu.au/) **SCOPE OF THE SYMPOSIUM** In 2010, AusGrid event was broadened to include all aspects of parallel and distributed computing and hence was called as Australasian Symposium on Parallel and Distributed Computing (AusPDC). Following a couple of successful events, it comes to the 20th in 2022 in the series. In both New Zealand and Australia parallel and distributed computing has been recognised as strategic technologies for driving their moves towards knowledge economies. The symposium is primarily targeted at researchers from Australia and New Zealand, however, in the spirit of parallel and distributed computing, which aims to enable collaboration of distributed virtual organizations, and also the conference being held online this year, we encourage papers and participation from international researchers. **TOPICS OF INTEREST** - Cloud computing - Fog/edge computing - Grid and Cluster computing - Big Data processing and analytics - Virtualization, containers, unikernels, orchestration and other enablers - Security, trust and privacy in Clouds/Fog/Edge - Mobile, sensor networks and Internet of things - Data storage, placement and replication - Distributed Ledger Technologies and Blockchains - Multi-core systems - Peer-to-peer computing - GPUs and other forms of special purpose processors - Service computing and workflow management - Managing large distributed data sets - Middleware and tools - Network function virtualisation and Software defined networks - Performance evaluation and modelling - Datacentre and Interconnection networks - Performance accelerators - Problem-solving environments - Parallel programming models, languages and compilers - Operating systems and runtime systems - Resource scheduling and load balancing - Data mining and machine learning - Computational Science and Engineering - Agent-based computing - Reliability, security, privacy and dependability - e-Science and e-Health Applications **IMPORTANT DATES** Paper submissions due: 19 November 2021 Author notification: 19 December 2021 Camera-ready full papers due: 14 January 2021 Conference dates: 14 - 18 February 2022 **PAPER SUBMISSION** The proceedings of the symposium will be published by ACM in conjunction with ACSW 2022. Papers should be formatted in double-column according to ACM conference paper formatting guidelines ACM SIG Proceedings Templates. The following guidelines must be met for all submissions: - Submissions must be in English. - Submissions must not exceed 10 pages for full papers, 4 pages for short papers and 2 pages for posters. - Submissions must be in PDF format. Other formats will not be accepted. - Submissions must clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to other work. - Submissions must be original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this conference. - Authors must choose the appropriate satellite conference or workshop for your submission Papers are to be submitted via the ACSW 2022 Easy Chair Submission Site ( https://easychair.org/my/conference?conf=acsw2022) Upon logging into the system, please select “New Submission”, then select "Australasian Symposium on Parallel and Distributed Computing" track and proceed through the steps for submission. Every submission will be reviewed by a minimum of three members of the program committee. **PAPER AWARDS** A selection commission chaired by the AusPDC technical programme committee will select and acknowledge the best paper and the best student paper to receive an award during the conference. Committee **GENERAL CO-CHAIRS** Rajkumar Buyya, University of Melbourne, Australia Bahman Javadi, Western Sydney University, Australia **PROGRAM COMITTEE CHAIRS** Adel N. Toosi, Monash University, Australia Sara Khalifa, CSIRO’s Data61, Australia **STEERING COMMITTEE** Schahram Dustdar, Technical University of Vienna, Austria Zahir Tari, RMIT University, Australia Salil Kanhere, University of New South Wales, Sydney, Australia Yun Yang, Swinburne University of Technology, Australia Javid Taheri, Karlstad University, Sweden **VENUE** Due to COVID-19, AusPDC 2022 will be held online this year. **CONTACT** All questions about submissions should be emailed to program chairs. For further information, see https://sites.google.com/monash.edu/auspdc2022

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Call for Papers: Special Issue on Foundations of Data Science with Machine Learning Journal
by calls＠dsaa.co 21 Oct '21

21 Oct '21

Call for Papers: Special Issue on Foundations of Data Science with Machine Learning Journal Data science is a hot topic with an extensive scope, both in terms of theory and applications. Machine Learning forms one of its core foundational pillars. Simultaneously, Data Science applications provide important challenges that can often be addressed only with innovative Machine Learning algorithms and methodologies. This special issue on Foundations of Data Science with Machine Learning Journal (MLJ) will highlight the latest development of the Machine Learning foundations of data science and on the synergy of data science and machine learning. Following the great success of the 2021 MLJ special issue with DSAA’2021, this 2022 special issue will further capture the state-of-the-art machine learning advances for data science. We welcome new developments in statistics, mathematics, informatics and computing-driven machine learning for data science, including foundations, algorithms and models, systems, innovative applications and other research contributions. Accepted papers will be published in MLJ and presented at a Journal Track of the 2022 IEEE International Conference on Data Science and Advanced Analytics (DSAA’2022) in Shenzhen, October 2022. Topics of Interest We welcome original and well-grounded research papers on all aspects of foundations of data science including but not limited to the following topics: ● Machine Learning Foundations for Data Science Auto-ML Information fusion from disparate sources Feature engineering, embedding, mining and representation Learning from network and graph data Learning from data with domain knowledge Reinforcement learning Non-IID learning, nonstationary, coupled and entangled learning Heterogeneous, mixed, multimodal, multi-view and multi-distributional learning Online, streaming, dynamic and real-time learning Causality and learning causal models Multi-instance, multi-label, multi-class and multi-target learning Semi-supervised and weakly supervised learning Representation learning of complex interactions, couplings, relations Deep learning theories and models Evaluation of data science systems Open domain/set learning ● Emerging Impactful Machine Learning Applications Data preprocessing, manipulation and augmentation Autonomous learning and optimization systems Digital, social, economic and financial (finance, FinTech, blockchains and cryptocurrencies) analytics Graph and network embedding and mining Machine learning for recommender systems, marketing, online and e-commerce Augmented reality, computer vision and image processing Risk, compliance, regulation, anomaly, debt, failure and crisis Cybersecurity and information disorder, misinformation/fake detection Human-centered and domain-driven data science and learning Privacy, ethics, transparency, accountability, responsibility, trust, reproducibility and retractability Fairness, explainability and algorithm bias Green and energy-efficient, scalable, cloud/distributed and parallel analytics and infrastructures IoT, smart city, smart home, telecommunications, 5G and mobile data science and learning Government and enterprise data science Transportation, manufacturing, procurement, and Industry 4.0 Energy, smart grids and renewable energies Agricultural, environmental and spatio-temporal analytics and climate change Contributions must contain new, unpublished, original and fundamental work relating to the Machine Learning Journal’s mission. All submissions will be reviewed using rigorous scientific criteria whereby the novelty of the contribution will be crucial. Submission Instructions Submit manuscripts to: http://MACH.edmgr.com. Select this special issue as the article type. Papers must be prepared in accordance with the Journal guidelines: https://www.springer.com/journal/10994 All papers will be reviewed following standard reviewing procedures for the Journal. Key Dates We will have a continuous submission/review process starting in Oct. 2021. Last paper submission deadline: 1 March 2022 Paper acceptance: 1 June 2022 Camera-ready: 15 June 2022 Guest Editors Longbing Cao, University of Technology Sydney, Australia Joao Gama, University of Porto, Portugal Nitesh Chawla, University of Notre Dame, United States Joshua Huang, Shenzhen University, China

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CfC 26th Ada-Europe Int. Conf. Reliable Software Technologies
by Dirk.Craeynest＠cs.kuleuven.be 20 Oct '21

20 Oct '21

----------------------------------------------------------------------- Call for Contributions 26th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2022) 14-17 June 2022, Ghent, Belgium www.ada-europe.org/conference2022 Organized by Ada-Europe in cooperation with ACM SIGAda (approval pending) and Ada Resource Association (ARA) #AEiC2022 #AdaEurope #AdaProgramming ----------------------------------------------------------------------- *** General Information The 26th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2022) will take place in Ghent, Belgium, in the week of 14-17 June, in dual mode, with a solid core of in-presence activities accompanied by digital support for remote participation. The conference schedule comprises a journal track, an industrial track, a work-in-progress track, a vendor exhibition, parallel tutorials, and satellite workshops. *** Schedule 16 January 2022: Submission deadline for journal-track papers, tutorials and workshop proposals. 27 February 2022: Submission deadline for industrial-track and work-in-progress-track abstracts. 14 March 2022: Notification of invitations-to-present for journal-track papers. Notification of acceptance for all other types of submission. 3 April 2022: Publication of advance program. *** Topics The conference is an established international forum for providers, practitioners and researchers in reliable software technologies. The conference presentations will illustrate current work in the theory and practice of developing, running and maintaining challenging long-lived, high-quality software systems for a variety of application domains including manufacturing, robotics, avionics, space, health care, transportation, cloud environments, smart energy, serious games. The program will allow ample time for keynotes, Q&A sessions and discussions, and social events. Participants include practitioners and researchers from industry, academia and government organizations active in the promotion and development of reliable software technologies. The topics of interest for the conference include but are not limited to: - Real-Time and Safety-Critical Systems: design, implementation and verification challenges, novel approaches, e.g., Mixed-Criticality Systems, novel scheduling algorithms, novel design and analysis methods; - High-Integrity Systems and Reliability: theory and practice of High-Integrity Systems, languages vulnerabilities and countermeasures, architecture-centred development methods and tools; - Reliability-oriented Programming Languages (not limited to Ada): compilation and runtime challenges, language profiles, use cases and experience reports, language education and training initiatives; - Experience Reports: case studies, lessons learned, and comparative assessments. Refer to the conference website for the full list of topics. *** Call for Journal-track Submissions Following the journal-first model inaugurated in 2019, the conference includes a journal-track that seeks original and high-quality submissions that describe mature research work in the scope of the conference. Accepted papers for this track will be published in the "Reliable Software Technologies (AEiC2022)" Special Issue of the Journal of Systems Architecture (JSA). General information for submitting to the JSA can be found at https://www.journals.elsevier.com/journal-of-systems-architecture. Submissions should be made online at https://www.editorialmanager.com/jsa/ by selecting the "VSI:AEiC2022" option for the paper type. In order to speed up publication, the JSA has adopted the Virtual Special Issue model, whereby acceptance decisions are made on a rolling basis. On that account, authors are encouraged to submit as early as they can, no later than 16 January 2022. Authors who have successfully passed the first round of review will be invited to present their work at the conference. Ada-Europe, the main conference sponsor, will cover the Open Access fees for the first four papers to gain final acceptance, which do not already enjoy OA from personalized bilateral agreements with the Publisher. Prospective authors may direct all enquiries regarding this track to the corresponding chair, Jérôme Hugues, at the listed address. *** Call for Industrial-track Submissions The conference seeks industrial practitioner presentations that deliver insight on the challenges of developing reliable software. Given their applied nature, such contributions will be subject to a dedicated practitioner-peer review process. Interested authors shall submit a short (one-to-two pages) abstract, by 27 February 2022, via https://easychair.org/conferences/?conf=aeic2022, strictly in PDF, following the Ada User Journal style (cf. http://www.ada-europe.org/auj/) The abstract of the accepted contributions will be included in the conference booklet. The corresponding authors will get a presentation slot in the prime-time technical program of the conference, and will also be invited to expand their contributions into full-fledged articles for publication in the Ada User Journal, which will form the proceedings of the Industrial track of the Conference. Prospective authors may direct all enquiries regarding this track to the corresponding chair, Alejandro R. Mosteo, at the listed address. *** Call for Work-in-Progress-track Submissions The Work-in-Progress track seeks two kinds of submissions: (a) ongoing research, and (b) early-stage ideas. Ongoing research submissions are 4-page papers that describe research results that are not mature enough to be submitted to the journal track as yet. Early-stage ideas, are 1-page papers that pitch new research directions that fall in the scope of the conference. Both kinds of submission must be original and shall undergo anonymous peer review. Submissions by recent MSc graduates and PhD students are especially sought. Authors shall submit their work by 27 February 2022, via https://easychair.org/conferences/?conf=aeic2022, strictly in PDF, following the Ada User Journal style (cf. http://www.ada-europe.org/auj/) The abstract of the accepted contributions will be included in the conference booklet. The corresponding authors will get a presentation slot in the prime-time technical program of the conference, and will also be offered the opportunity to expand their contributions into 4-page articles for publication in the Ada User Journal, which will form the proceedings of the WiP track of the Conference. Prospective authors may direct all enquiries regarding this track to the corresponding chair, Frank Singhoff, at the listed address. *** Academic Listing The Journal of Systems Architecture, publication venue of the journal-track proceedings of the conference, was ranked Q1 (SJR) in the year 2020, also featuring 72th percentile in CiteScope (Scopus). The Ada User Journal, venue of all other technical proceedings of the conference, is indexed by Scopus and by EBSCOhost in the Academic Search Ultimate database. *** Awards Ada-Europe will offer an honorary award for the best technical presentation, to be announced in the closing session of the conference. *** Call for Tutorials The conference seeks tutorials in the form of educational seminars on themes falling within the conference scope, with an academic or practitioner slant, including hands-on or practical elements. Tutorial proposals shall include a title, an abstract, a description of the topic, an outline of the presentation, the proposed duration (half day or full day), the intended level of the contents (introductory, intermediate, or advanced), and a statement motivating attendance. Tutorial proposals shall be submitted by e-mail to the Workshop and Tutorial Chair, Aurora Agar Armario, at the listed address, with subject line: "[AEiC 2022: tutorial proposal]". The authors of accepted full-day tutorials will receive a complimentary conference registration, halved for half-day tutorials. The Ada User Journal will offer space for the publication of summaries of the accepted tutorials. *** Call for Workshops The conference welcomes satellite workshops centred on themes that fall within the conference scope. Proposals may be submitted for half- or full-day events, to be scheduled at either end of the conference proper. Workshop proposals shall be submitted by e-mail to the Workshop and Tutorial Chair, Aurora Agar Armario, at the listed address, with subject line: "[AEiC 2022: workshop proposal]". Workshop organizers shall also commit to producing the proceedings of the event, for publication in the Ada User Journal. *** Call for Exhibitors The conference will include a vendor and technology exhibition. Interested providers should direct inquiries to the Exhibition Chair. *** Venue The conference will take place in the heart of the city of Ghent, Belgium, capital of the East Flanders province, a halfhour train ride north-west of Brussels. Ghent is rich in history, culture and higher-education, with a top-100 university founded in 1817. *** Organizing Committee * Conference Chair Tullio Vardanega, University of Padua, Italy tullio.vardanega at unipd.it * Journal-track Chair Jérôme Hugues, Carnegie Mellon University, USA jjhugues at sei.cmu.edu * Industrial-track Chair Alejandro R.Mosteo, Centro Universitario de la Defensa, Zaragoza, Spain amosteo at unizar.es * Work-in-Progress-track Chair Frank Singhoff, University of Brest, France frank.singhoff at univ-brest.fr * Tutorial and Workshop Chair Aurora Agar Armario, NATO, the Netherlands aurora.agar at ncia.nato.int * Exhibition & Sponsorship Chair Ahlan Marriott, White Elephant GmbH, Switzerland software at white-elephant.ch * Publicity Chair Dirk Craeynest, Ada-Belgium & KU Leuven, Belgium dirk.craeynest at cs.kuleuven.be * Local Chair Vicky Wandels, University of Ghent, Belgium Vicky.Wandels at UGent.be *** Previous Editions Ada-Europe organizes annual international conferences since the early 80's. This is the 26th event in the Reliable Software Technologies series, previous ones being held at Montreux, Switzerland ('96), London, UK ('97), Uppsala, Sweden ('98), Santander, Spain ('99), Potsdam, Germany ('00), Leuven, Belgium ('01), Vienna, Austria ('02), Toulouse, France ('03), Palma de Mallorca, Spain ('04), York, UK ('05), Porto, Portugal ('06), Geneva, Switzerland ('07), Venice, Italy ('08), Brest, France ('09), Valencia, Spain ('10), Edinburgh, UK ('11), Stockholm, Sweden ('12), Berlin, Germany ('13), Paris, France ('14), Madrid, Spain ('15), Pisa, Italy ('16), Vienna, Austria ('17), Lisbon, Portugal ('18), Warsaw, Poland ('19), and online from Santander, Spain ('21). Information on previous editions of the conference can be found at http://www.ada-europe.org/confs/ae. ----------------------------------------------------------------------- Our apologies if you receive multiple copies of this announcement. Please circulate widely. Dirk Craeynest, AEiC 2022 Publicity Chair Dirk.Craeynest(a)cs.kuleuven.be * 26th Ada-Europe Int.Conf. Reliable Software Technologies (AEiC 2022) * June 14-17, 2022, Ghent, Belgium * www.ada-europe.org/conference2022

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Live e-Lecture by Petros Maragos: “Introduction to Tropical Geometry and its Applications to Machine Learning”, 26th October 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures
by Ioanna Koroni 20 Oct '21

20 Oct '21

Dear AI scientist/engineer/student/enthusiast, Lecture by Prof. Petros Maragos (NTUA Laboratory on Intelligent Robotics and Automation, Greece), a prominent AI researcher internationally, will deliver the e-lecture: ‘Introduction to Tropical Geometry and its Applications to Machine Learning’, on Tuesday 26th October 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/s/99103637681> https://authgr.zoom.us/s/99103637681 & Passcode: 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 are typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Nicolò Cesa-Bianchi (UNIVERSITA` DEGLI STUDI DI MILANO (UNIMI), Italy), 9th November 2021 17:00 – 18:00 CET. 2. Prof. Cees Snoek (UNIVERSITEIT VAN AMSTERDAM, Netherlands), 23rd November 2021 17:00 – 18:00 CET. More lecture infos in: <https://www.i-aida.org/event_cat/ai-lectures/?type=future> https://www.i-aida.org/event_cat/ai-lectures/?type=future 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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Multiple vacancies at the University of Melbourne
by Uwe Aickelin 16 Oct '21

16 Oct '21

We have advertised five opportunities to join the top ranked School of Computing and Information Systems in Australia (THES and QS). Please share with your networks and encourage applications.. Full details below. Algorithmic Fairness: https://jobs.unimelb.edu.au/en/job/906606/senior-lecturerassociate-professo… Machine Learning and Systems (two positions): https://jobs.unimelb.edu.au/caw/en/job/906506/lecturer-or-senior-lecturer-i… Digital Ethics: https://jobs.unimelb.edu.au/caw/en/job/906636/senior-lecturerassociate-prof… Information Systems: https://jobs.unimelb.edu.au/caw/en/job/904639/lecturersenior-lecturer-infor… Professor Uwe Aickelin | Head of School of Computing and Information Systems Faculty of Engineering and Information Technology Level 3, Melbourne Connect – 700 Swanston Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin(a)unimelb.edu.au<mailto:uwe.aickelin@unimelb.edu.au> http://aickelin.com/ | http://linkedin.com/in/aickelin

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[Call for Nomination] - BenchCouncil Distinguished Doctoral Dissertation Award
by haotianshu＠ict.ac.cn 11 Oct '21

11 Oct '21

[Apologies if you receive multiple copies] CALL FOR NOMINATION ========================================================== 2021 BenchCouncil Distinguished Doctoral Dissertation Award (1000$) https://www.benchcouncil.org/html/awards.html#doctor Submission deadline: October 15, 2021 End of Day, Anywhere on Earth (AoE) Online Nomination Form: https://forms.gle/BSTqXUBTgB4gG3EM8 ========================================================== Introduction ---------------- International Open Benchmark Council (BenchCouncil) established the BenchCouncil Distinguished Doctoral Dissertation Award program to recognize and encourage superior research and writing by doctoral candidates in the broad field of benchmarks, data, standards, evaluations, and optimization. Prof. Jack Dongarra from the University of Tennessee, Prof. Xiaoyi Lu from the University of California, Merced, and Dr. Jeyan Thiyagalingam from STFC-RAL will co-lead the Award Committee. Among the submissions, four candidates will be selected as finalists. They will be invited to give a 30-minute presentation at the 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench’21, virtual, Nov 14-16, 2021) and contribute research articles to BenchCouncil Transactions on Benchmarks, Standards and Evaluations. Finally, one among the four will receive the award, which carries a $1,000 honorarium. Eligibility ------------------------ The committee welcomes the proposals from the following communities (but not limited to): architecture, systems, database, high-performance computing, machine learning or AI, medicine, bioinformatics, or other scientific disciplines. An eligibility cycle opens October 1, 2019, and ends the following October 15, 2021. Nominations are welcomed from any country. -- Only those who were awarded Ph.D. in the past two years are eligible for this award. -- Only the accepted final version of a nominated Ph.D. dissertation will be considered, and it must have been filed with the writer’s institution during the nomination cycle. -- The writer or the writer’s Ph.D. advisor can nominate a dissertation, and a dissertation may be nominated only once. -- The benchmarks, data, or tools that are the essential contributions of the dissertation should be open-sourced. -- The committee members cannot nominate their students. -- Each dissertation version submitted for consideration must include an English abstract of 3,000 words maximum. Submissions ------------------------ Online Nomination Form: https://forms.gle/BSTqXUBTgB4gG3EM8 Nominations for the BenchCouncil Doctoral Dissertation Award should be submitted using the online nomination form. Submitted materials should explain the contribution in terms understandable to a non-specialist. Each nomination involves several components: -- Name, address, phone number, and email address of the candidate's thesis advisor -- Name, address, and email address of the candidate. Affiliation should be the name of the school. -- Suggested citation. The citation should be a concise statement (maximum of 25 words) describing the critical technical or professional accomplishment for which the candidate merits this award. Note that the final wording for awardees will be at the discretion of the Award Committee. -- Nomination statement (200-300 words in length) addressing why the candidate should receive this award. This should address the significance of the dissertation, not simply repeat the information in the abstract. -- A copy of the dissertation. Each submitted dissertation for consideration must include an English abstract of maximally 3000 words. -- Endorsement letters. At least two supporting letters should be included from experts in the field who can provide additional insights or evidence of the dissertation’s impact. (The nominator/advisor may not write a letter of support.) Each letter should include the name, address, and telephone number of the endorser. The nominator should collect the letters and bundle them for submission. The endorsement letter and supporting letters can be combined in one file in your pdf upload. Review Criteria ------------------------ Dissertations will be reviewed for technical depth and significance of the research contribution, the potential impact on theory and practice. In the first round, the four candidates will be singled out. Each one will give a 30-minute presentation in the distinguished Ph. D. dissertation session chaired by the committee, and contribute research articles to BenchCounncil Transactions on Benchmarks, Standards and Evaluation. Finally, one candidate will be awarded the BenchCouncil Distinguished Doctoral Dissertation Award carrying a $1,000 honorarium. The award is presented each year at the Awards Banquet during BenchCouncil Bench Conference ( https://www.benchcouncil.org/bench/ ). Award Committee --------------------- Prof. Jack Dongarra, University of Tennessee Dr. Xiaoyi Lu, The University of California, Merced Dr. Jeyan Thiyagalingam, STFC-RAL Dr. Lei Wang, ICT, CAS Dr. Spyros Blanas, The Ohio State University 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench’21) ========================================================== Bench’21 Website: http://www.benchcouncil.org/bench21/index.html Conference date: Nov. 14th - Nov. 16th, 2021 (Virtual) ========================================================== Bench’21 conference invites manuscripts describing original work in the area of benchmarking, evaluation methods and tools in Big Data, Artificial Intelligence, High-Performance Computing and Architectures. All accepted papers will be presented at the Bench’21 conference and will be published in a special issue of the BenchCouncil Transactions on Benchmarks, Standards and Evaluation (TBench, https://www.benchcouncil.org/journal.html ). Sponsored and organized by the BenchCouncil, Bench’s multi-disciplinary emphasis provides an ideal environment for developers and researchers from the architecture, system, algorithm, and application communities to discuss practical and theoretical work covering workload characterization, benchmarks and tools, evaluation, measurement and optimization, and dataset generation. BenchCounncil Transactions on Benchmarks, Standards and Evaluations BenchCouncil Transactions on Benchmarks, Standards and Evaluations (TBench) is an open-access multi-disciplinary journal dedicated to benchmarks, standards, evaluations, optimizations, and data sets. It will take a hybrid publication mode with the Bench Conference. Both TBench and Bench use a double-blind review process. Papers that are accepted to present at the Bench conference will appear in the issue of TBench immediately following acceptance. Meanwhile, the accepted TBench papers will be encouraged but not mandatory to register and present at the Bench conference. TBench will be OA without any charge. It seeks a fast-track publication with an average turnaround time of two months. Submit your paper at https://www.editorialmanager.com/tbench/default.aspx TBench Editorial Board Co-EIC Prof. Dr. Jianfeng Zhan, ICT, Chinese Academy of Sciences and BenchCouncil Prof. Dr. Tony Hey, Rutherford Appleton Laboratory STFC, UK Advisory Board Prof. Jack Dongarra, University of Tennessee, USA Prof. Geoffrey Fox, Indiana University, USA Prof. D. K. Panda, The Ohio State University, USA

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Online seminars in Tensor Computation, October to December
by Jeremy Gibbons 06 Oct '21

06 Oct '21

Department of Computer Science, University of Oxford Seminar Series on Tensor Computation http://www.cs.ox.ac.uk/seminars/Programming%20Languages/ The following seminars on tensor computation will take place at 4pm UK time on Fridays this coming term. (Note that the clocks change in the UK part way through the series!) The seminars will be held online, via Zoom. Registration instructions are on the webpage above. All are welcome. [Dr Albert Cohen](https://research.google/people/106208/), Google 15 Oct: *Herding Tensor Compilers* [Professor Jonathan Ragan Kelley](http://people.csail.mit.edu/jrk/), MIT 22 Oct: *Halide* [provisional title] [Dr Conal Elliott](http://conal.net/) 29 Oct: *Can Tensor Programming Be Liberated from the Fortran Data Paradigm?* **clocks change: UK moves from BST=UTC+1 to GMT=UTC** [Professor Markus Püschel](https://acl.inf.ethz.ch/people/markusp/), ETH Zürich 5 Nov: *Program Generation for Small Scale Linear Algebra* [Professor Martin Elsman](https://elsman.com/), Copenhagen 12 Nov: *Futhark* [provisional title] [Rohan Yadav](https://rohany.github.io/), Stanford 19 Nov: *Compilation of Sparse Array Programming Models* [provisional title] [Professor Gabrielle Keller](https://www.uu.nl/medewerkers/GKKeller), Utrecht 26 Nov: *Accelerate: High-Performance Computing in Haskell* [Dr Dimitrios Vytiniotis](https://dimitriv.github.io/), Google 3 Dec: *Automating Tensor Partitioning on Meshes of Accelerators* [provisional title] Seminar conveners: [Jeremy Gibbons](http://www.cs.ox.ac.uk/people/jeremy.gibbons/) [Peter Braam](https://www.braam.io/) Jeremy.Gibbons(a)cs.ox.ac.uk Oxford University Department of Computer Science, Wolfson Building, Parks Road, Oxford OX1 3QD, UK. +44 1865 283521 http://www.cs.ox.ac.uk/people/jeremy.gibbons/

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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

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** 1st WORKSHOP ON PARALLEL PROGRAMMING IN THE EXASCALE ERA (PPEE) https://hipc.org/call-for-ppee/ | https://ppee-workshop.github.io/ 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 The upcoming exascale systems will impose new requirements on application developers and programming systems to target platforms with hundreds of homogeneous and heterogeneous cores. The four critical challenges for exascale systems are extreme parallelism, power demand, data movement, and reliability. These systems are aimed to solve problems that were previously out of reach and improve the parallel performance of applications by a factor of 50x. The power budget for achieving a billion billion (quintillion) floating-point operations per second (exaflops) should be within 20-30 MW. Moving the data on these systems relative to the computation will be challenging due to complex memory hierarchies. It would be essential to keep the CPUs/accelerators busy once they have the data to avoid memory bottlenecks. Failures on these systems are anticipated to occur many times a day, such that the existing approach for resiliency, such as checkpointing and restart, will not work. TOPICS The goal of this workshop is to attract leading researchers to exchange ideas and share their work-in-progress and latest results to address the exascale software challenges. Topics of interest include, but are not limited to: * High-level programming models for many-cores / accelerators * Compilation techniques for hybrid CPU/accelerator parallelism * Intra-/Inter-node load balancing and scheduling * Runtime systems for high performance and high productivity * Comparisons of runtime systems and parallel programming models * OS/runtime and system software for many-core systems, accelerators, and non-uniform memory hierarchy * Optimizing data locality and data movement * Energy efficiency and optimizations * Resilience and fault-tolerance * Scalable algorithms * Scalable synchronization mechanisms * Concurrent data structures * Applying machine learning techniques in HPC IMPORTANT DATES Abstract Submission Deadline: October 24, 2021 (encouraged) Paper Submission Deadline: October 31, 2021 (hard deadline) Paper Notification: November 15, 2021 Presentation Slides Upload Deadline: November 22, 2021 All Deadlines are by 11:59 pm AOE (UTC-12) SUBMISSION INSTRUCTIONS Papers are to be submitted online in PDF format through Easychair at: https://easychair.org/conferences/?conf=ppee2021. Submitted manuscripts should be structured as technical papers and must not exceed five (5) single-spaced double-column pages using 10-point size font on 8.5×11 inch pages (IEEE conference style), including figures, tables, and references. The submitted paper should list the authors and their affiliations. The IEEE conference style templates for MS Word and LaTeX provided by IEEE eXpress Conference Publishing are available for download. See the latest versions here (https://www.ieee.org/conferences/publishing/templates.html) Electronic submissions must be in the form of a readable PDF file. The accepted papers will be invited for presentation at the workshop. However, these papers will NOT be published in the conference proceedings. This will allow the authors to publish an extended version of their paper at other venues after benefiting from reviewer feedback from the workshop. Papers will be judged on technical merit, quality, and relevance to the workshop. 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. ORGANIZATION COMMITTEE Vivek Kumar, Indraprastha Institute of Information Technology, Delhi Swarnendu Biswas, Indian Institute of Technology, Kanpur Vishwesh Jatala, Indian Institute of Technology, Bhilai NOTICE ABOUT COVID-19 We are closely monitoring the COVID-19 situation globally and in India in particular. The decision whether to hold the conference on-site or virtually will be made before October 2021. Should the conference be held on-site, we understand that travel to India and within India may still be difficult or even impossible for some. Because travel from outside India will require an entry visa and that there may be travel restrictions still in place, we will arrange some form of remote presentation for those authors. We do not have changes to how accepted papers will be published in IEEE Xplore — every accepted paper will have at least one author who will register at the notified (reduced) registration fee and also present the paper at the conference (virtually/physically). Regards, Sanmukh Kuppannagari Senior Research Associate University of Southern California https://sanmukh.github.io/

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