computational.science

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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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