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Job Openings: Research Assistant Professor in Computer Science (3 vacancies) at Hong Kong Baptist University
by COMP HKBU 28 Sep '22

28 Sep '22

The Department of Computer Science at Hong Kong Baptist University presently offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following positions. *Research Assistant Professor in Computer Science (3 vacancies) (PR0174/22-23)* The positions are created and funded as part of the strategic research development initiatives in the Department. The appointees will be provided with a conducive research environment, and will work within an established group of faculty in the Department. They are also expected to perform group-based high-impact research and undertake some teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a) Health Informatics and (b) Security and Privacy-aware Computing related applications. The initial appointment will be made on a fixed-term contract of two to three years. Re-appointment thereafter is subject to mutual agreement. For enquiry, please contact Prof. Jianliang Xu, Head of Department (email: xujl(a)comp.hkbu.edu.hk) More information about the Department can be found on its website at https://www.comp.hkbu.edu.hk. *Salary will be commensurate with qualifications and experience.* Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably the three best ones out of their most recent publications/works. Those should also request two referees to send in confidential letters of reference, with the PR number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the submission of the application may consider their applications unsuccessful. All application materials including publication samples, and scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is on-going until the positions are filled. URL: *https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=832 <https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=832>*

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CFP: IEEE ISPA2022 (Parallel and Distributed Processing with Applications), Dec. 2022, Melbourne, Australia
by Jesson Butt 21 Sep '22

21 Sep '22

Call for papers: The 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/ispa/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/ispa/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction The IEEE ISPA 2022 (20th IEEE International Symposium on Parallel and Distributed Processing with Applications) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, and large scale machines). The IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2021 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA is sponsored by the IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE Computer Society. IEEE ISPA is particularly interested in research addressing heterogeneous computing with the use of accelerators, mobile computing, approximate computing, tools and methodologies to improve the quality of parallel programming and applying generic computing approaches to networks, in particular Software Defined networking and its applications. Scope and Topics (1) Systems and Architectures Track - Cloud computing and data center technology - Migration of computations - Multi-clouds environments, cloud federation, interoperability - Energy management and Green Computing - Wireless and mobile networks - Internet-Of-Things (IoT) - Social Networks, crowdsourcing, and P2P systems (2) Technologies and Tools Track - Building block processors: FPGA, multicore, GPU, NoC, SoC - Parallel and distributed algorithms - Tools/environments for parallel/distributed software development - Novel parallel programming paradigms - Programming models for cloud services and applications - Code generation and optimization - Compilers for parallel computers - Middleware and tools - Scheduling and resource management - Performance simulations, measurement, and evaluations - Reliability, fault tolerance, dependability, and security (3) Applications Track - High-performance scientific and engineering computing - Grid and cluster computing - Pervasive and ubiquitous computing - Databases, data mining, and data management - Big data and business analytics - Scientific cloud systems and services - Internet computing and web services - Application scenarios of IoT and ubiquitous computing - Experience with computational, workflow and data-intensive applications - Software Defined Networks and its applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: https://edas.info/N30045 Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. Honorary Chairs Albert Zomaya, The University of Sydney, Australia Hai Jin, Huazhong University of Science and Technology, China General Chairs Willy Susilo, University of Wollongong, Australia Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy Laurence Yang, St. Francis Xavier University, Canada Program Chairs Haipeng Dai, Nanjing University, China Rajiv Ranjan, Newcastle University, UK Massimo Cafaro, University of Salento, Lecce, Italy Workshop Chairs Rodrigo Calheiros, Western Sydney University, Australia Wei Zheng, Xiamen University, China

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CFP: The 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023)
by Bahman Javadi 14 Sep '22

14 Sep '22

=================================== CCGRID 2023: CALL FOR PAPERS =================================== The 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ May 1-4, 2023, Bangalore, Indiahttps://ccgrid2023.iisc.ac.in ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The 23rd IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023) 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 and Edge Computing for Internet of Things (IoT) and Big Data applications. The conference will feature keynotes, technical presentations, posters, workshops, student symposium, industry interactions, the SCALE Challenge, and the co-located ICFEC conference. ----------------------- Call for Papers ----------------------- 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: Hardware Systems and Networking (for Cluster, Cloud and Internet Computing) + Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge, Big Data platforms, distributed file systems, NoSQL databases, Data lakes, Data fabrics. + Sustainable and Green Computing: Environment-friendly computing ecosystems. Power, cooling and thermal awareness. + Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. Software-Defined Network-enabled Systems. Virtualized hardware: GPUs, tensor processing units, FPGAs and other accelerators. (*) Track 2: Software Systems and Platforms (for Cluster, Cloud and Internet Computing) + Programming Models and Runtime Systems: Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems. + Resource Management and Scheduling: Resource allocation algorithms, profiling, modeling. Cluster, cloud, and internet computing scheduling and meta-scheduling techniques. + Performance Modeling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance. + Energy-efficient software/applications. Policies, methods, and tools for Energy-efficient computing. Energy-efficiency evaluation methods, metrics, and tools. Energy consumption models. (*) Track 3: ML for Systems, and Systems for ML + Techniques, platforms and systems for supporting Machine Learning and Artificial Intelligence applications. + Artificial Intelligence: Large Scale Machine Learning, AI frontend and backend systems, AI at the Edge and in the Cloud, cognitive computing, federated learning. + Machine learning/Deep Learning: statistical learning, natural language processing, computer vision, data mining, multiagent systems, knowledge representation. + Use of Machine Learning and Artificial Intelligence applications to enhance the performance of cluster, cloud and Internet-computing systems. + ML/AI techniques for workload prediction, application scheduling, resource placement, resiliency, etc. in cluster, cloud and Internet-computing systems. (*) Track 4: Future Compute Continuum + Internet Computing Frontiers: Cloud, Edge, Fog, Serverless, Lambda, Streaming, Highly decentralized approaches to cloud computing, sensor data streaming and computation on the edges of the network, Backend as a Service (BaaS) + 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, Functions as a Service (FaaS), Software Defined Membranes. + Cloud-Economics: Trustworthiness of services, ecosystem economics, innovative metering, accounting, billing methods and tools, automated trading and bidding support tools, performance monitoring, optimization, prediction, energy efficiency, sustainability, decision support systems. + Post- and Non-Von Neumann Computing: Neuromorphic computing; Quantum computing, Annealing-based quantum computing, hybrid quantum and classical computing; Approximate, probabilistic, and inexact computing; In-memory processing and memory-based computing; Emerging computing technologies, like analog computing, biologically-inspired computing, memristors. (*) Track 5: Applications and Translation + 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, AR/VR. + Autonomous systems: Role of cluster, cloud and Internet computing to support robotics, self-driving cars, autonomous aerial vehicles, etc. + Applications for 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. + Cyber-Security, Privacy and Resilient Distributed Systems: Distributed Systems security and trust. Access control. Data privacy and integrity. Regulation. Resiliency of service attacks. + Enterprise applications for hybrid clouds, data regulatory and sovereignty concerns, data privacy, auditing and provenance. + AI Application domains: Social networks, healthcare, sustainability, transportation, commerce, neuroscience and cognitive science. ----------------------- Important Dates ----------------------- All deadlines are in Anywhere on Earth (AoE), UTC-12 timezone. + Abstracts: November 25th, 11:59pm + Full Paper: December 2nd, 2022, 11:59pm + Acceptance Notification: Jan 27th, 2023 + Camera Ready Papers: March 17th + Conference: May 1-4, 2023 ----------------------- Paper Submission ----------------------- + Authors are invited to submit papers electronically through the link to be posted shortly. + Page limits: Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including figures and tables using the IEEE format for conference proceedings. References are not included in the 10-page limit. + Author and reviewer anonymity: All submissions need to be double-blind. Authors should not reveal their identity in their submissions. All references to past work need to be in a third-party form (e.g., instead of saying "in our past work [26] we had done...", you can say "in [26], Chen et. al. had done..."). + Review criteria: 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 program 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. + When submitting the final accepted manuscript, authors may purchase up to two additional pages beyond the original 10 pages (excluding references) to address comments received from the reviewers. ----------------------- Best Paper Awards ----------------------- CCGrid will present Best Paper Awards to the top paper(s) selected by the Program Committee. The award will be determined based on review comments and ratings, viewpoints of the technical and scientific merits, impact of the research work on the science and engineering, and the clarity of presentation. ----------------------- Conference Presentation ----------------------- Conference will be held in person, physically. At least one author of each accepted paper must present their work in-person at the conference. In case of exceptional circumstances such as COVID related restrictions, the option to present remotely will be provided. ----------------------- Conference Sponsorship ----------------------- The is expected to be co-sponsored by IEEE and ACM. Approvals are in progress. ----------------------- Code of Conduct ----------------------- CCGrid will act with responsibility as its primary consideration, with Equity, Diversity, and Inclusion as central goals. Authors and participants are encouraged to read the ACM Code of Ethics and Professional Conduct and ACM Policy Against Harassment, and IEEE Computer Society's expectation of professional behavior found in the IEEE Computer Society Open Conference Statement, the IEEE Event Conduct and Safety Statement, and the IEEE Code of Ethics.

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PhD/PostDoc position in GeoComputing/HPC (m/f/x) at LMU Munich
by Marcus Mohr 09 Sep '22

09 Sep '22

======================================================================== Within the project "Multi-physics Simulation for Geodynamics on Heterogeneous Exa-scale Systems (CoMPS)" funded by the German Federal Ministry of Research we have an opening for a PhD/PostDoc in GeoComputing/HPC (m/f/x) The CoMPS project is a collaboration between the GeoComputing group at LMU Munich, the Chair of Informatics 10 (System Simulation) at Friedrich-Alexander-University Erlangen-Nuremberg, the Chair of Numerical Mathematics at TU Munich and the Leibniz Supercomputing Center. CoMPS continues our precursor project TerraNeo (https://terraneo.fau.de) and involves several hot topics in large scale computing, such as e.g. matrix-free iterative solvers, parallel coupling of Eulerian and Lagrangian models, mixed precision, and handling uncertainties. For further details please see: https://www.geophysik.uni-muenchen.de/en/news/open-positions/phd-postdoc-po… Regards Marcus Mohr ======================================================================== Dr.-Ing. Marcus Mohr @> Geophysics - Ludwig-Maximilians-Universitaet Muenchen /? e-mail ... Marcus.Mohr(a)lmu.de |\ Tel ...... +49 (89) 2180-4230 url ...... https://www.geophysik.uni-muenchen.de/~mohr ========================================================================

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CFP: IEEE BDCloud2022 (Big Data and Cloud Computing), Dec. 2022, Melbourne, AUS
by Jesson Butt 08 Sep '22

08 Sep '22

Call for papers: The 12th IEEE International Conference on Big Data and Cloud Computing (BDCloud2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/bdcloud/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/bdcloud/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Cloud computing is positioning itself as an emerging platform for delivering information infrastructures and resources as IT services. Customers (enterprises or individuals) can provision and deploy Cloud services via pay-as-you-go pricing models saving huge capital investments in their own IT infrastructures. As estimated by IDC, about 40% data globally would be touched with Cloud Computing. Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing. BDCloud (Big Data and Cloud Computing) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Big Data and Cloud Computing as well as their synergy. Scope and Topics Topics of particular interest include, but are not limited to: · Fundamentals of cloud computing · Architectural cloud models · Programming cloud models · Provisioning/pricing cloud models · Data storage and computation in cloud computing · Resource and large-scale job scheduling in cloud computing · Security, privacy, trust, risk in cloud and big data · Fault tolerance and reliability in cloud computing · Access control to cloud computing · Resource virtualisation · Monitoring and auditing in cloud · Scalable and elastic cloud services · Social computing and impacts on the cloud · Innovative HCI and touch-screen models and technologies to cloud · Mobile commerce, handheld commerce and e-markets on cloud · Intelligent/agent-based cloud computing · Migration of business applications to cloud · Energy efficient cloud architecture · Energy aware data storage and computation in cloud computing · Energy aware scheduling, monitoring, auditing in cloud · Green Cloud · Cloud use case studies · Big Data theory, applications and challenges · Big Data mining and analytics on Cloud · Big Data Infrastructure, MapReduce and Cloud Computing · Big Data visualization · Large data stream, incremental datasets on cloud · Distributed and federated datasets · NoSQL data stores and DB scalability · Big Data sharing, security, privacy and trust · Big Data placement, scheduling, and optimization · Distributed file systems for Big Data · Big Data processing, resource scheduling and SLA on Cloud · Performance characterization, evaluation and optimization · Simulation and debugging of Big Data systems · Volume, Velocity, Variety, Value and Veracity of Big Data · Storage and computation management of Big Data · Large-scale workflow management in Big Data · Data management and distributed data systems · Big data applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2022/bdcloud/submission.htm Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. General Chairs Xuemin Lin, The University of New South Wales, Australia Geoffrey Fox, Indiana University, USA Yun Yang, Swinburne University of Technology, Australia Program Chairs Vladimir Vlassov, KTH Royal Institute of Technology, Sweden Li Li, Monash University, Australia Lina Yao, University of New South Wales, Australia Workshop Chairs Jason Xue, Data61, Australia Ibrahim Khalil, RMIT, Australia

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CFP: IEEE ISPA 2022 (Parallel and Distributed Processing with Applications), Dec. 2022, Melbourne, Australia
by Jesson Butt 08 Sep '22

08 Sep '22

Call for papers: The 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/ispa/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/ispa/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction The IEEE ISPA 2022 (20th IEEE International Symposium on Parallel and Distributed Processing with Applications) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, and large scale machines). The IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2021 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA is sponsored by the IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE Computer Society. IEEE ISPA is particularly interested in research addressing heterogeneous computing with the use of accelerators, mobile computing, approximate computing, tools and methodologies to improve the quality of parallel programming and applying generic computing approaches to networks, in particular Software Defined networking and its applications. Scope and Topics (1) Systems and Architectures Track - Cloud computing and data center technology - Migration of computations - Multi-clouds environments, cloud federation, interoperability - Energy management and Green Computing - Wireless and mobile networks - Internet-Of-Things (IoT) - Social Networks, crowdsourcing, and P2P systems (2) Technologies and Tools Track - Building block processors: FPGA, multicore, GPU, NoC, SoC - Parallel and distributed algorithms - Tools/environments for parallel/distributed software development - Novel parallel programming paradigms - Programming models for cloud services and applications - Code generation and optimization - Compilers for parallel computers - Middleware and tools - Scheduling and resource management - Performance simulations, measurement, and evaluations - Reliability, fault tolerance, dependability, and security (3) Applications Track - High-performance scientific and engineering computing - Grid and cluster computing - Pervasive and ubiquitous computing - Databases, data mining, and data management - Big data and business analytics - Scientific cloud systems and services - Internet computing and web services - Application scenarios of IoT and ubiquitous computing - Experience with computational, workflow and data-intensive applications - Software Defined Networks and its applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: https://edas.info/N30045 Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. Honorary Chairs Albert Zomaya, The University of Sydney, Australia Hai Jin, Huazhong University of Science and Technology, China General Chairs Willy Susilo, University of Wollongong, Australia Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy Laurence Yang, St. Francis Xavier University, Canada Program Chairs Haipeng Dai, Nanjing University, China Rajiv Ranjan, Newcastle University, UK Massimo Cafaro, University of Salento, Lecce, Italy Workshop Chairs Rodrigo Calheiros, Western Sydney University, Australia Wei Zheng, Xiamen University, China

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PhD position on AI for IoT cybersecurity
by Andrii Shalaginov 07 Sep '22

07 Sep '22

Fully funded PhD fellowship on AI for IoT cybersecurity to work with the project "ENViSEC: Artificial Intelligence-enabled Cybersecurity for Future Smart Environments" at Kristiania University College (Oslo, Norway): https://www.kristiania.no/en/about-kristiania/vacant-positions/ (PhD fellowships in applied information technology) Deadline: 15th of September, 2022 More information about the ENViSEC project: https://smartseclab.com/envisec/ -- Best regards / Med vennlig hilsen, ―- Andrii SHALAGINOV Associate Professor, PhD Program Director, Bachelor of Cybersecurity Head of SmartSecLab School of Economics, Innovation and Technology Kristiania University College

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CFP: Parallel Computational Technologies 2023 (St. Petersburg, Russia, March 28-30, 2023)
by Цымблер Михаил Леонидов ич 07 Sep '22

07 Sep '22

FIRST ANNOUNCEMENT AND CALL FOR PAPERS Parallel Computational Technologies (PCT’2023), 17th International Scientific Conference, March 28-30, 2023, St. Petersburg, Russia http://agora.guru.ru/pavt/eng https://link.springer.com/conference/pct Conference founders: Russian Academy of Sciences (http://www.ras.ru) HPC Consortium of Russian Universities (http://hpc-russia.ru) WELCOME Russian Academy of Sciences, High-Performance Computing Consortium of Russian Universities, Moscow State University, ITMO University, and South Ural State University are jointly organizing the 17th International Scientific Conference on Parallel Computational Technologies (PCT’2023) to be held in St. Petersburg, Russia, March 28-30, 2023. The main purpose of the PCT’2023 conference is to provide an opportunity to report and discuss the results achieved by leading research groups in solving practical issues using supercomputer and neural network technologies. The scope of the conference covers all aspects of the application of cloud, supercomputer and neural network technologies in science and technology such as applications, hardware and software, specific languages and packages. The 38th edition of Top50 of the CIS's most powerful computers will be announced on the first day of the conference. On working days of the conference, a supercomputer exhibition will be organized, where leading manufacturers of hardware and software present their latest products in the field of high performance computing. LANGUAGE The official languages of the Conference are Russian and English. SCOPE The scope of the conference includes, but not limited to, the following topics: * Parallel and distributed computing technologies * Cloud computing * Prospective multiprocessor architectures * Big data and data mining * Artificial neural networks and deep learning * Management, administration, monitoring and testing of multiprocessor systems * Computational Mathematics * Computational Physics * Computational Chemistry * Gas hydrodynamics and heat transfer * High nonlinear and rapid processes in mechanics * Bioinformatics and medicine * Nanotechnology * Geoinformatics * Cryptography * Image processing and visualization * Computer algebra * Supercomputer education. CALL FOR PAPERS PCT’2023 admits papers presenting original contribution that have not been previously published and are not being submitted to another conference or journal. There are three categories of submissions: * Full paper describes the results of completed scientific research (12 to 15 pages in the LNCS one-column page format). * Short paper reports preliminary results of uncompleted scientific research (up to 12 pages in the LNCS one-column page format). * Abstract of the poster contains information about plans and initial results of recently started scientific research (one standard A4 page). Papers may be prepared in LaTeX or MS Word according to the LNCS one-column page format (see guidelines at the conference website http://agora.guru.ru/pavt2023/, "For Authors" section). Papers should be submitted electronically in PDF format through EasyChair system https://easychair.org/conferences/?conf=pct2023 by December 15, 2022. Each paper will be reviewed by three Program Committee members and/or invited experts to ensure high quality and relevance to the conference. At least one author of the accepted paper must attend the conference and present the paper. PROCEEDINGS All accepted full papers will be published in Springer’s Communications in Computer and Information Science series (https://link.springer.com/conference/pct, indexed in Web of Science and Scopus), final approval pending. All accepted short papers and posters will be published electronically and indexed in Russian Science Index. The best short papers will be published (after further revision) in the Computational Mathematics and Software Engineering series of the Bulletin of the South Ural State University (http://vestnikvmi.susu.ru, indexed in Russian Science Citation Index on the Web of Science platform). IMPORTANT DATES * Submission of abstracts: December 1, 2022 * Submission of the papers: December 15, 2022 * Notification of acceptance: February 1, 2023 * Camera-ready version: February 15, 2023 * Registration for participation in supercomputer exhibition: March 1, 2023 * Registration of participants (non-speakers): March 21, 2023 * Conference: March 27, 2023: arrival date March 28-30, 2023: conference work dates March 31, 2023: departure date CONTACT INFORMATION WEB PAGES Conference web site: http://agora.guru.ru/pavt/eng Submission web site: https://easychair.org/conferences/?conf=pct2023. Leonid Sokolinsky, DSc., Prof. (SUSU, Chelyabinsk) Co-chair of the PCT Program Committee E-mail: Leonid.Sokolinsky(a)susu.ru Tel.: (+7-351) 272 35 00 Mikhail Zymbler, DSc., Assoc. Prof. (SUSU, Chelyabinsk) Academic secretary of the PCT Program Committee E-mail: mzym(a)susu.ru Tel.: (+7-351) 267 90 06, ext. 112 PROGRAM COMMITTEE Co-chairs of the Program Committee: Jack Dongarra, University of Tennessee (USA) Leonid Sokolinsky, South Ural State University (Russia) Vladimir Voevodin, corresponding member of RAS, Moscow State University (Russia) Academic secretary of the Program Committee: Mikhail Zymbler, South Ural State University (Russia) Members of the Program Committee: S.V. Ablameyko, Belarusian State University (Republic of Belarus) A.P. Afanasiev, Institute for Systems Analysis RAS (Russia) E.N. Akimova, Institute of Mathematics and Mechanics UrB RAS (Russia) A. Andrzejak, Heidelberg University (Germany) P. Balaji, Argonne National Laboratory (USA) Yu.Ya. Boldyrev, Saint-Petersburg Polytechnic University (Russia) J. Carretero, Carlos III University of Madrid (Spain) R.K. Gazizov, Ufa State Aviation Technical University (Russia) B.M. Glinsky, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) V.D. Goryachev, Tver State Technical University (Russia) V.P. Il'in, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) H. Kobayashi, Tohoku University (Japan) J. Kunkel, University of Hamburg (Germany) S. Kumar, Rudrapur (India) J. Labarta, Barcelona Supercomputing Center (Spain) A. Lastovetsky, University College Dublin (Ireland) T. Ludwig, German Climate Computing Center (Germany) V.N. Lykosov, Institute of Numerical Mathematics RAS (Russia) D. Mallmann, Julich Supercomputing Centre (Germany) M. Michalewicz, A*STAR Computational Resource Centre (Singapore) V.E. Malyshkin, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) V.Ya. Modorsky, Perm Polytechnic University (Russia) R. Prodan, Alpen-Adria-Universität Klagenfurt (Austria) A.V. Shamakina, High Performance Computing Center in Stuttgart (Germany) P. Shumyatsky, University of Brasilia (Brazil) H. Sithole, Centre for High Performance Computing (Republic of South Africa) A.V. Starchenko, Tomsk State University (Russia) T. Sterling, Indiana University (USA) M. Taufer, University of Delaware (USA) V.E. Turlapov, State University of Nizhny Novgorod (Russia) R. Wyrzykowski, Czestochowa University of Technology (Poland) M.V. Yakobovsky, Institute for Mathematical Modelling RAS (Russia) Y. Yamazaki, Federal University of Pelotas (Brazil)

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PhD position at the University of Amsterdam
by Zoltán Mann 07 Sep '22

07 Sep '22

The University of Amsterdam is offering a PhD position relating to the security and energy consumption of machine learning in the cloud-to-edge continuum. Deadline for applications: 20 September 2022. More information: https://vacatures.uva.nl/UvA/job/PhD-Position-in-Energy-and-Security-of-Mac…

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Multiple Vacancies at the University for Melbourne
by Uwe Aickelin 06 Sep '22

06 Sep '22

Hi, Hope this message finds you well. Please consider sharing this with any interested researchers. The University of Melbourne’s School of Computing and Information Systems is recruiting for 4x open positions. Application deadlines: Sep 26, 2022 (Australian Eastern Daylight Time) Lecturer/Senior Lecturer in machine learning: https://go.unimelb.edu.au/282e Lecturer/Senior Lecturer in theory of computing: https://go.unimelb.edu.au/f82e Lecturer/Senior Lecturer in information systems: https://go.unimelb.edu.au/482e Senior Lecturer/Associate Professor in fairness: https://go.unimelb.edu.au/h82e (These are continuing positions equiv. US tenure track research & teaching / faculty positions at a range of levels.) We’re excited to invite applications from individuals passionate about research, training, teaching, and engagement, to join us at Australia’s premier university, situated in one of the world’s most liveable cities. Best, Uwe Aickelin -- 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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Postdoc in Machine learning and optimization (France)
by El-ghazali Talbi 05 Sep '22

05 Sep '22

Dear all, please find enclosed a postdoc position in France. regards -- Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS

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(LastCFP Due Sept 03) AHPC/CCCT2022- HPC/Cloud Computing, Hybrid, USA
by Pierre F. Tiako 25 Aug '22

25 Aug '22

The paper submission deadline was extended to Sept 03 due to numerous requests (Heatwave, Summer Break, Pandemic, Start of Semester). --- Call for Abstracts and Papers ------------- AHPC/CCCT2022- HPC/Cloud Computing Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 OkIP Published & Submission to WoS/SCOPUS Submission Deadline Extended: Sept 03, 2022 Extended versions of the best papers will be considered for journal publication. *** Contribution Types (Two-Column IEEE Format Style): - Full Paper: Accomplished research results (6 pages) - Short Paper: Work in progress/fresh developments (3 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (1 page) >>> Cloud Computing and Technologies (CCCT) https://eventutor.com/e/CCCT002 * Areas: - Cloud Concepts - Applications and Services - Security/Privacy/Compliance - Platform/Provisioning/Storage - Infrastructure/AI in the Cloud >>> Advances in High-Performance Computing (AHPC) https://eventutor.com/e/AHPC002 * Areas: - HPC Concepts - Parallel Computing - Mobile & Wireless Computing - Network Architecture/System - HPC AI/Simulation/Security - HPC Applications Please feel free to contact us for any inquiries at: info(a)okipublishing.com

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CFP: IEEE SustainCom 2022 (Sustainable Computing and Communications), Dec. 2022, Melbourne, Australia
by Arne Wilston 25 Aug '22

25 Aug '22

Call for papers: The 12th IEEE International Conference on Sustainable Computing and Communications (IEEE SustainCom2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/sustaincom/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/sustaincom/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction Sustainable Computing and Communications refers to principles that embrace a range of policies, procedures, programs, and attitudes that run the length and breadth of any use of information and communication technologies. It is a holistic approach that stretches from power to waste to purchasing to education and is a life-cycle management approach to the deployment of IT across an organization. It includes designing, manufacturing, using, and disposing of information and communication systems with minimal or no impact on the environment. SustainCom (Sustainable Computing and Communications) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest fundamental advances in the state of the art and practice of Sustainable Computing andCommunications as well as innovative applications. Scope and Topics Track 1: Sustainable Computing and Communications · Theoretical Aspect of Energy, Power, and Temperature · Algorithms for Reduced Power, Energy and Heat · Power-aware Design of Software, Middleware and Systems · Power-aware Networking · Real-time systems · Power-efficient Computing Architectures · Efficient Circuit Design for Energy Harvesting · Power Management in Memory, Disk, Storage and other peripheral Devices · Configurable and Renewable Energy · Low Power Electronics · Energy Efficient Network Hardware · Energy-Efficient Communication Protocols · Low power Communication Technologies · Embedded Systems, ASICs and FPGSs · Power Leakage and Dissipation · Code Profiling and Transformation for Power Management · Power-aware Scheduling and Resource Allocation · Energy-efficient Wireless/Mobile/Sensor Systems and Networks · Security and Privacy · Wearable Computing · Ecological Monitoring, Analytics and Visualization · Green Communications Architectures and Frameworks · Green Data Centres and Enterprise Computing · QoS and Green Computing · Integration of Smart Appliances · Green Software Engineering Methodologies and Tools · Virtualization Impact for Green Computing · Case Studies on Green Computing and Communications · Green Computing Models, Methodologies and Paradigms Track 2: Sustainable Systems and Technologies · Sustainable Architectures for Smart Grids · Smart Grid Security, Reliability and Load Balancing · Energy Management Systems (EMS) · Economic Models of Energy Efficiency · Energy Monitoring, Profiling and Measurement · Renewable Energy Systems and Harvesting Energy (e.g. Solar, Wind) · Greener Systems Planning and Design · Virtualization for Reducing Power Consumption · Evolutionary Algorithms in Energy Applications · Scheduling and Switching Power Supplies · Optimization Techniques for Efficient Energy Consumption · Reliability of Power-aware Computers · Runtime Systems that Assist in Power Saving · Models for Collective Optimization of Power and Performance · Monitoring Tools for Power and Performance of Parallel and Distributed Systems · Use of Sensors for Environmental Monitoring · Smart Control for Eco-friendly Buildings Track 3: Sustainable Methodologies and Applications · Smart City (Sustainable Design, Models, Frameworks, Policies and Strategies) · Smart City (Sustainable Integration and Optimization of Comprehensive Resources and information Flows - energy, emissions, people, goods and services) · Sustainable Energy Generation, Transmission, Distribution and Delivery · Smart Buildings and Urban Infrastructures · Smart Grid for Energy Generation, Transmission, Monitoring and Management · Open Government, Open Data Policies, Urban-Scale Data Sharing, Information Security and Privacy · Smart Logistics and Sustainable Supply Chain Management · Smart People, Smart Living and Smart Citizen Engagement · Intelligent Transport Systems and Traffic Management · Smart Energy-efficient Sensor Networks and Internet of Things · Smart Home, Smart Healthcare and Ageing Population support · e-Mobility, e-Work and e-Business Applications · Sustainable Urban Mobility and Smart Vehicle Management · Smart Resource Support and Demand Management and Optimization · User-Centred Services and Systems · Open Big City Data, Cloud Computing, Internet-Enabled Infrastructures and Services for Sustainability · Innovation Labs, Experimental Test-Beds and Simulation Environments · Mechanisms for Motivating Behavior Change · Advanced Data Analytics for Smart Cities · IS Architecture Design and Platform for Sustainability · Case Studies and Innovative Applications for Sustainability Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2022/sustaincom/submission.htm. Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. General Chairs Laurent Lefevre, Inria, France Jianhua Ma, Hosei University, Japan Program Chairs Xuyun Zhang, Macquarie University, Australia Trung Q. Duong, Queen’s University Belfast, UK

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CFP: IEEE BDCloud 2022 (Big Data and Cloud Computing), Dec. 2022, Melbourne, Australia
by Jesson Butt 23 Aug '22

23 Aug '22

Call for papers: The 12th IEEE International Conference on Big Data and Cloud Computing (BDCloud2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/bdcloud/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/bdcloud/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Cloud computing is positioning itself as an emerging platform for delivering information infrastructures and resources as IT services. Customers (enterprises or individuals) can provision and deploy Cloud services via pay-as-you-go pricing models saving huge capital investments in their own IT infrastructures. As estimated by IDC, about 40% data globally would be touched with Cloud Computing. Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing. BDCloud (Big Data and Cloud Computing) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Big Data and Cloud Computing as well as their synergy. Scope and Topics Topics of particular interest include, but are not limited to: · Fundamentals of cloud computing · Architectural cloud models · Programming cloud models · Provisioning/pricing cloud models · Data storage and computation in cloud computing · Resource and large-scale job scheduling in cloud computing · Security, privacy, trust, risk in cloud and big data · Fault tolerance and reliability in cloud computing · Access control to cloud computing · Resource virtualisation · Monitoring and auditing in cloud · Scalable and elastic cloud services · Social computing and impacts on the cloud · Innovative HCI and touch-screen models and technologies to cloud · Mobile commerce, handheld commerce and e-markets on cloud · Intelligent/agent-based cloud computing · Migration of business applications to cloud · Energy efficient cloud architecture · Energy aware data storage and computation in cloud computing · Energy aware scheduling, monitoring, auditing in cloud · Green Cloud · Cloud use case studies · Big Data theory, applications and challenges · Big Data mining and analytics on Cloud · Big Data Infrastructure, MapReduce and Cloud Computing · Big Data visualization · Large data stream, incremental datasets on cloud · Distributed and federated datasets · NoSQL data stores and DB scalability · Big Data sharing, security, privacy and trust · Big Data placement, scheduling, and optimization · Distributed file systems for Big Data · Big Data processing, resource scheduling and SLA on Cloud · Performance characterization, evaluation and optimization · Simulation and debugging of Big Data systems · Volume, Velocity, Variety, Value and Veracity of Big Data · Storage and computation management of Big Data · Large-scale workflow management in Big Data · Data management and distributed data systems · Big data applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2022/bdcloud/submission.htm Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. General Chairs Xuemin Lin, The University of New South Wales, Australia Geoffrey Fox, Indiana University, USA Yun Yang, Swinburne University of Technology, Australia Program Chairs Vladimir Vlassov, KTH Royal Institute of Technology, Sweden Li Li, Monash University, Australia Lina Yao, University of New South Wales, Australia Workshop Chairs Jason Xue, Data61, Australia Ibrahim Khalil, RMIT, Australia

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CFPs CLSP 2022 International Conference on Changing Landscape in the Semiconductor Packaging (CLSP)
by Hana GHARRAD 22 Aug '22

22 Aug '22

********************************************************************************** INTERNATIONAL CONFERENCE ON CHANGING LANDSCAPE IN THE SEMICONDUCTOR PACKAGING Date: December 12-13, 2022 Location: Madeira, Portugal Website: http://wsconf.org/Conference/CLSP ********************************************************************************** Semiconductor Packaging is progressively driving chip development, and the heterogeneous mix is at the front line of these mechanical advances that are expanding the intricacy of semiconductor plans and testing. To assist with beating this test, chip originators are sending state-of-the-art advancements like enormous information and computerized reasoning (AI) to make testing more proficient and powerful. The Digital Transformation of Electronics Packaging, especially of ICs (Integrated Circuits), Sensors and MEMS (Micro-Electro-Mechanical Systems), MOEMS (Micro-Optoelectronic Mechanical Systems), and Photonics passes on is acquiring and more importance in the present business applications. Particularly for AI, AR/VR, and IoT the presentation, form factor, and cost are huge markers. Scaling down and an expanding level of joining at bundling level targets greater usefulness on less space, which is promising higher framework execution, more modest framework size, and lower framework cost. This requires a framework-level methodology with Chip-Package-Board co-plan and co-improvement with close participation along with the total semiconductor inventory network. Changing Landscape in the Semiconductor Packaging (CLSP) Conference is devoted to uniting countless different academic occasions for show inside the meeting program. Occasions will run throughout a range of time during the gathering relying upon the number and length of the introductions. With its great, it offers an extraordinary benefit for understudies, scholastics and semiconductor’s industry scientists. Important Dates: ---------------- - Paper Submission Due: September 19, 2022 - Acceptance Notification: October 10, 2022 - Final Manuscript Due: November 18, 2022 Publication ---------------- All CLSP 2022 accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Science is hosted by Elsevier on www.Elsevier.com<http://www.elsevier.com/> and on Elsevier content platform ScienceDirect (www.sciencedirect.com< http://www.sciencedirect.com/>), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com< http://www.scopus.com/>) and by Thomson Reuters? Conference Proceeding Citation Index ( http://thomsonreuters.com/conference-proceedings-citation-index/) All papers in Procedia will also be indexed by Scopus (www.scopus.com< http://www.scopus.com/>) and Engineering Village (Ei).This includes EI Compendex (www.ei.org/compendex<http://www.ei.org/compendex>). Moreover, all accepted papers will be indexed in DBLP (http://dblp.uni-trier.de/) The papers will contain linked references, XML versions and citable DOI numbers. Selected papers will be invited for publication, in the special issues of: - International Journal of Intellectual Property Enforcement, Technology Transfer and Innovation in China's Semiconductor Industry, SSRN ( https://www.journals.elsevier.com/journal-of-public-transportation) Papers on either completed or ongoing research are invited in the following and related tracks: http://wsconf.org/Conference/CLSP CLSP 2022 will be held in the city of Madeira. It is an autonomous region of Portugal and is an archipelago comprising 4 islands off the northwest coast of Africa. Madeira is home to The University of Madeira created in 1988 in Funchal, Madeira. Conference Tracks =============== Track 1: HETEROGENEOUS INTEGRATION (HI) Track 2: ADVANCED PACKAGING ROADMAP AND MARKET UPDATES • The Growing Momentum of Heterogeneous Integration • Challenges for Heterogeneous Integration in Package – Applications • Driving Materials and Processes towards Diversity • Micro Balling on Chips with a High Ball-count for Space Applications • Big Data and Vehicle Analytics • Vehicular Networks • Security and Safety Track 3: PACKAGING TECHNOLOGY & PROCESSES • Active Mold Packaging for Novel Antenna-in-Package Interconnection and Manufacturing • High Throughput & High Yield Heterogeneous Integration with Implemented Metrology for Collective D2W Bonding • High Throughput & High Yield Heterogeneous Integration with Implemented Metrology for Collective D2W Bonding Track 4: PACKAGE SIMULATION, EVALUATION & CHARACTERIZATION • Heterogeneous Integration Test Impacts • 3D Bump Metrology and Inspection • Intelligent Infrastructure and Guidance Systems • Intertwined development of manufacturing processes and test technologies – a prerequisite for future success in advanced packaging • Virtual Prototyping for System-in-Package with Heterogeneous Integration Track 5: CASE STUDIES OF ENABLING DIGITALIZATION IN KEY INDUSTRIES WITH ADVANCED PACKAGING SOLUTIONS Track 6: UPDATES IN MANUFACTURING EQUIPMENT WITH ADVANCED CAPABILITIES • Processing of new functional materials • Manufacturing process IP Track 7: DESIGN FOR RELIABILITY AND PERFORMANCE • EDA (Electronic Design Automation) • Simulation tools and methods for enhancing SiP • Chip-Package-Board co-design Committees ========== Committee Members: Dr Panagiotis Alevyzakis, Universita degli Studi Guglielmo Marconi, Italy. CONTACT For more information, please send an email to clsp(a)wsconf.org https://wsconf.org

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CFP: IEEE ISPA2022 (Parallel and Distributed Processing with Applications), Dec. 2022, Melbourne, Australia
by Jesson Butt 22 Aug '22

22 Aug '22

Call for papers: The 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/ispa/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/ispa/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction The IEEE ISPA 2022 (20th IEEE International Symposium on Parallel and Distributed Processing with Applications) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, and large scale machines). The IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2021 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA is sponsored by the IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE Computer Society. IEEE ISPA is particularly interested in research addressing heterogeneous computing with the use of accelerators, mobile computing, approximate computing, tools and methodologies to improve the quality of parallel programming and applying generic computing approaches to networks, in particular Software Defined networking and its applications. Scope and Topics (1) Systems and Architectures Track - Cloud computing and data center technology - Migration of computations - Multi-clouds environments, cloud federation, interoperability - Energy management and Green Computing - Wireless and mobile networks - Internet-Of-Things (IoT) - Social Networks, crowdsourcing, and P2P systems (2) Technologies and Tools Track - Building block processors: FPGA, multicore, GPU, NoC, SoC - Parallel and distributed algorithms - Tools/environments for parallel/distributed software development - Novel parallel programming paradigms - Programming models for cloud services and applications - Code generation and optimization - Compilers for parallel computers - Middleware and tools - Scheduling and resource management - Performance simulations, measurement, and evaluations - Reliability, fault tolerance, dependability, and security (3) Applications Track - High-performance scientific and engineering computing - Grid and cluster computing - Pervasive and ubiquitous computing - Databases, data mining, and data management - Big data and business analytics - Scientific cloud systems and services - Internet computing and web services - Application scenarios of IoT and ubiquitous computing - Experience with computational, workflow and data-intensive applications - Software Defined Networks and its applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: https://edas.info/N30045 Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. Honorary Chairs Albert Zomaya, The University of Sydney, Australia Hai Jin, Huazhong University of Science and Technology, China General Chairs Willy Susilo, University of Wollongong, Australia Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy Laurence Yang, St. Francis Xavier University, Canada Program Chairs Haipeng Dai, Nanjing University, China Rajiv Ranjan, Newcastle University, UK Massimo Cafaro, University of Salento, Lecce, Italy Workshop Chairs Rodrigo Calheiros, Western Sydney University, Australia Wei Zheng, Xiamen University, China

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[CFP] ACM e-Energy 2023 Call for Papers
by Tan Rui (Assoc Prof) 11 Aug '22

11 Aug '22

░░░░░░ ACM e-Energy 2023 Call for Papers ░░░░░░ [Apology if you receive multiple copies of this message] Orlando, Florida during June 16 - 23, 2023 Detailed CFP can be found at https://energy.acm.org/conferences/eenergy/2023/cfp.php Submission site: https://eenergy23.hotcrp.com> ACM e-Energy is the premier forum for research at the intersection of computing and communication technologies with energy systems. It has established a strong track record for high-quality research in the application of computing and networked systems to make legacy systems more energy-efficient and in the design, analysis, and development of sustainable and innovative energy systems. The 14th ACM International Conference on Future Energy Systems (ACM e-Energy 2023) and its co-located tutorials and workshops will be held in Orlando, Florida during June 16 - 23, 2023. By bringing together researchers in a single-track conference designed to offer significant opportunities for personal interaction, it is a major forum for shaping the future of this area. ACM e-Energy 2023 will be held jointly with ACM Federated Computing Research Conference (FCRC) 2023 (https://fcrc.acm.org/) which assembles a spectrum of affiliated research conferences and workshops. ACM e-Energy 2023 attendees are free to attend the technical sessions of all FCRC conferences and workshops. We seek high-quality papers at the intersection of computing and communication technologies with smart and sustainable energy systems. We welcome submissions describing conceptual advances, as well as advances in system design, implementation, and experimentation, and we explicitly welcome inter- or trans-disciplinary work. ACM e-Energy is committed to a fair, timely, and thorough review process with sound and detailed feedback. IMPORTANT DATES Fall Deadline (1st deadline) September 16th, 2022, 23:59 AoE: Abstract registration deadline September 23th, 2022, 23:59 AoE: Paper submission deadline November 4th, 2022: Author notification (accept, reject, or revise-&-resubmit) November 25th, 2022, 23:59 AoE: Revision submission deadline December 9th, 2022: Revision notification December 19th, 2022, 23:59 AoE: Camera-ready submission Winter Deadline (2nd deadline) January 27th, 2023, 23:59 AoE: Abstract registration deadline February 3rd, 2023, 23:59 AoE: Paper submission deadline March 31st, 2023: Author notification (accept, reject, or revise-&-resubmit) April 21st, 2023, 23:59 AoE: Revision submission deadline May 12th, 2023: Revision notification May 26th, 2023, 23:59 AoE: Camera-ready submission Relevant topics for ACM e-Energy include, but are not limited to the following: AI/ML and data analytics, e.g., for tackling climate impact of energy systems Algorithmic approaches to energy system problems Applications of cyber-physical systems and Internet-of-Things (IoT) to smart energy systems Modelling and analysis of multimodal and cross-sectoral energy systems Automation and control of smart grids Demand-side management, including innovative pricing and incentive design Distributed ledger systems for energy systems Economics and business models for smart energy systems, including aggregators and prosumers Electricity market and electricity supply chain measurement, modeling, and analysis Electric vehicles and energy-efficient transportation systems Distributed energy resources, including energy storage and renewable resources Energy-efficient computing and communication, including data centers Measurement and accounting of greenhouse gas emissions arising from the energy sector Microgrid and distributed generation management and control Modeling and understanding user behavior in energy systems Sizing, monitoring, and control of energy systems for smart grids, smart buildings, and smart cities Privacy, cybersecurity, and resiliency of smart grid infrastructure Design, implementation, analysis, and experience with large-scale, operational systems in the field General Chair Kirk W. Cameron (Virginia Tech, USA) Program Chairs Xiaofan (Fred) Jiang (Columbia University, USA) Zheng Ma (University of Southern Denmark, Denmark) Rui Tan (Nanyang Technological University, Singapore) ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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CFP: IEEE ISPA2022 (Parallel and Distributed Processing with Applications), Dec. 2022, Melbourne, Australia
by Jesson Butt 31 Jul '22

31 Jul '22

Call for papers: The 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/ispa/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/ispa/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction The IEEE ISPA 2022 (20th IEEE International Symposium on Parallel and Distributed Processing with Applications) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, and large scale machines). The IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2021 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA is sponsored by the IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE Computer Society. IEEE ISPA is particularly interested in research addressing heterogeneous computing with the use of accelerators, mobile computing, approximate computing, tools and methodologies to improve the quality of parallel programming and applying generic computing approaches to networks, in particular Software Defined networking and its applications. Scope and Topics (1) Systems and Architectures Track - Cloud computing and data center technology - Migration of computations - Multi-clouds environments, cloud federation, interoperability - Energy management and Green Computing - Wireless and mobile networks - Internet-Of-Things (IoT) - Social Networks, crowdsourcing, and P2P systems (2) Technologies and Tools Track - Building block processors: FPGA, multicore, GPU, NoC, SoC - Parallel and distributed algorithms - Tools/environments for parallel/distributed software development - Novel parallel programming paradigms - Programming models for cloud services and applications - Code generation and optimization - Compilers for parallel computers - Middleware and tools - Scheduling and resource management - Performance simulations, measurement, and evaluations - Reliability, fault tolerance, dependability, and security (3) Applications Track - High-performance scientific and engineering computing - Grid and cluster computing - Pervasive and ubiquitous computing - Databases, data mining, and data management - Big data and business analytics - Scientific cloud systems and services - Internet computing and web services - Application scenarios of IoT and ubiquitous computing - Experience with computational, workflow and data-intensive applications - Software Defined Networks and its applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: https://edas.info/N30045 Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. Honorary Chairs Albert Zomaya, The University of Sydney, Australia Hai Jin, Huazhong University of Science and Technology, China General Chairs Willy Susilo, University of Wollongong, Australia Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy Laurence Yang, St. Francis Xavier University, Canada Program Chairs Haipeng Dai, Nanjing University, China Rajiv Ranjan, Newcastle University, UK Massimo Cafaro, University of Salento, Lecce, Italy Workshop Chairs Rodrigo Calheiros, Western Sydney University, Australia Wei Zheng, Xiamen University, China

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(CFP Due Extended Sept 03) AHPC/CCCT2022- HPC/Cloud Computing, Oct 3-6, Hybrid, USA
by Pierre F. Tiako 15 Jul '22

15 Jul '22

[Due to numerous requests (Heatwave, Summer Break, Pandemic, Start of Semester), the paper submission deadline is extended to Sept 03] --- Call for Abstracts and Papers ------------- AHPC/CCCT2022- HPC/Cloud Computing Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 OkIP Published & WoS/Scopus Indexed Submission Deadline Extended: Sept 03, 2022 Extended versions of the best papers will be considered for journal publication. *** Contribution Types (One-Column IEEE Format Style): - Full Paper: Accomplished research results (10 pages) - Short Paper: Work in progress/fresh developments (6 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages) >>> Cloud Computing and Technologies (CCCT) https://eventutor.com/e/CCCT002 * Areas: - Cloud Concepts - Applications and Services - Security/Privacy/Compliance - Platform/Provisioning/Storage - Infrastructure/AI in the Cloud * Technical Program Committee https://eventutor.com/event/20/page/58-committee >>> Advances in High-Performance Computing (AHPC) * Areas: - HPC Concepts - Parallel Computing - Mobile & Wireless Computing - Network Architecture/System - HPC AI/Simulation/Security - HPC Applications * Technical Program Committee https://eventutor.com/event/20/page/58-committee Please feel free to contact us for any inquiries at: info(a)okipublishing.com

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CFP-Due July 11: AHPC 2022 High-Performance Computing, Oct 3-6
by Pierre F. Tiako 20 Jun '22

20 Jun '22

[Apologies if you receive multiple copies] --- Call for Abstracts and Papers ------------- 2022 OkIP International Conference on Advances in High-Performance Computing (AHPC) Downtown Oklahoma City, OK, USA & Online October 3-6, 2022 https://eventutor.com/e/AHPC002 OkIP Published & SCOPUS/WoS Indexed Submission Deadline: July 11, 2022 Extended versions of the best papers will be considered for journal publication. * Contribution Types (One-Column IEEE Format Style): - Full Paper: Accomplished research results (10 pages) - Short Paper: Work in progress/fresh developments (6 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages) * Areas: >> HPC Concepts - High-Performance Computing (HPC) - Performance | Scalability | Virtualization - Visualization | Simulation | Modelisation - Prediction | Program Optimization | Workloads - Algorithms | Networks | Efficiency |Scheduling - Compiler Design and Technologies - HPC Components and Technologies - Data Management and Transport | Compilation - Load Balancing | Resource Management - Fault Tolerance | Reliability | Availability - Multicore Algorithms | Operating System - Software Design and Implementations - Asynchronous Methods | Interconnects - Interconnections | Distributed Computing - High Scalability Computing | Accelerators - High-Performance Modeling/Software/Tools - Routing Protocols | Quality of Service - Allocation Framework | Benchmarks |... >> Parallel Computing - Parallelism | Automatic Parallelization - Programming Languages/Libraries/Tools - Programing Models/Environments - Parallel Metaheuristics/Application-Behavior - Parallel/Distributed Algorithms/Architectures - Energy Factors/Technological Factors - Partitioning and Optimal Scheduling - Systems Performance/Potential/Efficiency - Distributed/Heterogeneous Systems - System Synergy and Optimization - Advances in Parallel Models/Systems/Tools >> Mobile & Wireless Computing - Communication Modeling/Designing/Analysis - Mobile Communication Prediction/Control - Mobile/Wireless Systems-of-Systems - Mobile/Wireless Software and Hardware - Heterogeneous Wireless Networks - Medical Alert Devices/Privacy Consideration - Wireless Sensor Network | IoT Platforms - Mobile Network Loss Issues - Ultra-Dense Networks | Mobile Performance - Sensor Networks and Embedded Applications - Innovative Mobile/Wireless Networks/Systems >> Network Architecture/System - Interconnection Networks and Architectures - Memory Architecture Evaluation - I/O, File Systems, and Memory Systems - Power-Efficiency | Systems-on-Chip - System Modeling Methodologies - Fault-Tolerant Algorithms/Systems - Scalable Servers and Systems - Shared Memory Implementation - Memory Exploitation/Management Techniques - Network Storage Systems and Services - Cluster Management/Architecture - Heterogeneous Architectures/Accelerators - Multi/Many Core/CPU Framework/Systems - Micro-Architecture Techniques - Reconfigurable Architectures/Systems >> HPC AI/Simulation/Security - Surrogate Modeling | Machine Learning - Neural Architecture Performance - Deep Learning | Agent-based Modeling - Intelligent Algorithm| Artificial Neural Network - Distributed Deep Learning Systems - Hybrid/Complex System Modeling/Simulation - Advanced/Stochastic Simulation Frameworks - Security, Policy, and Management Issues - Configuration, Policy, and Management issues - Graph Partitioning/Analysis/Analytics - Spiking Neural P Systems | Data Integrity - Enabling Blockchain-as-a-Service - Fuzzy Logic Approach | Streaming Algorithms - Association Rule Mining | Anomaly Detection - Big Data Analytics and Applications >> HPC Applications - HPC Applications and Case Studies - Grid/Cloud/Fog/Bio-inspired Computing - Scientific/Engineering/Commercial Workloads - Augmented/Virtual Reality - Biotechnology, Nanotechnology, and Finance - Space Research, Urban Planning, and Energy - Teleimmersion | Collaborative Applications - Media/Entertainment Industry | Visualization - Workflow Management | HPC Resiliency - Advanced Computational Methods/Applications >> Important Dates: - Submission Deadline: July 11, 2022 - Notification Due: August 01, 2022 - Camera-ready Due: August 22, 2022 >> Technical Program Committee https://eventutor.com/event/20/page/58-committee Please feel free to contact us for any inquiries at: info(a)okipublishing.com -------- Pierre Tiako General Chair

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A research grant is available within the RIPARTI regional projects
by Massimo Cafaro 17 Jun '22

17 Jun '22

A research grant is available at the University of Salento, Lecce, Italy. The research shall be developed in close collaboration with Echolight (https://www.echolightmedical.com, 12 months out of 18 in total), and is related to the following topic: The main goal of the project is to improve the tuning and calibration process of noninvasive diagnostic imaging devices used for imaging. One of the most critical steps during the implementation of a diagnostic imaging device is its calibration. In fact, poor calibration can lead to unreliable instrument performance with noisy images and the presence of unwanted artefacts that could mislead the diagnosis made by the physician. The calibration phase involves a repeated try-and-check procedure during which the instrument parameters are repeatedly changed in order to obtain images that are sharp and as closely matched as possible to the target reference. This phase often requires considerable time expenditure and expert supervision; moreover, if one considers that calibration is carried out both following the production of the diagnostic instrument but also after several months of its use in the operational context, it is easy to deduce that automating this process on the one hand would improve the diagnostic yield, and on the other hand would reduce downtime and recalibration. The project aims to improve and automate the calibration process by introducing machine learning techniques for image classification. The results of the project find application on all instruments used for imaging, whether they are based on MRI, computed tomography, X-ray or ultrasound techniques. In fact, the goal is to relate the configuration parameters of the instrument to the images it produces in order to eliminate noise and artefacts produced by misconfiguration. Despite this, in the project we will consider as a case study the images produced by an ultrasound-based device produced by Echolight S.p.A. Medical devices produced by Echolight S.p.A. exploit images derived from ultrasound scans (B-Mode) to automatically identify anatomical reference targets (lumbar vertebrae bone interfaces of the L1-L4 tract and proximal femur bone interface). Once the regions of interest (ROIs) are identified, a proprietary algorithm evaluates the spectral characteristics of selected portions of the raw ultrasound signal related to the analyzed bone tissues. From the analysis of the raw signal characteristics, a measure of the bone mineral density (BMD) of the analyzed anatomical sites is determined. In order to provide reliable, repeatable, and accurate BMD measurements, special calibration and testing procedures have been developed, however, which require several manual measurements and checks, resulting in a high human-time commitment and, consequently, introducing a risk of human error on the collection and interpretation of the collected measurements and results. Leveraging the image processing and image classification techniques developed within the project, the algorithm will provide output indicative of the presence of artefacts or other alterations in the performance of the ultrasound system in production in order to possibly intervene with further modifications and calibrations. As part of the project, standard conditions for conducting tests will also be defined through the use of specific ultrasound phantoms provided by the company. Prof. Italo Epicoco (italo.epicoco(a)unisalento.it) is the scientific responsible for this research grant. DEADLINE: June 24, 2022 ALL INCLUSIVE GROSS AMOUNT (for 18 months): 29050,50 euro (i.e., 19367 euro annual gross amount) NOTE: Foreign candidates are strongly encouraged to contact me by email if they need help/support in order to prepare their application: I will be glad to assist. Here are, attached, an unofficial English translation of the call and the corresponding application and self declaration forms, translated in English. NOTE: Foreign candidates are strongly encouraged to contact Prof. Epicoco by email if they need help/support in order to prepare their application: hewill be glad to assist. ******************************************************************************************* Prof. Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining/Machine Learning Head of HPC Lab https://hpc-lab.unisalento.it Director of Master in Applied Data Science Department of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web https://www.massimocafaro.it Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org INGV National Institute of Geophysics and Volcanology Via di Vigna Murata 605 Roma CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ******************************************************************************************* --

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two research grants available within the RIPARTI regional projects
by Massimo Cafaro 15 Jun '22

15 Jun '22

The first research grant shall be developed in close collaboration with Planetek Italia (12 months out of 18 in total), and is related to the following topic: Machine Learning for Space Weather The proposed research project is concerned with the study of "Space Weather Phenomena" and the development of knowledge about the mechanisms and effects of solar-derived perturbative phenomena developing in circumterrestrial space and impacting the ionized atmosphere (ionosphere). In the project emphasis is given to the study and modeling of the dynamics of the ionospheric plasma and the electron density irregularities in it on a global scale, in order to improve the capability of long-term (24-48 hours in advance) nowcasting and forecasting of the ionospheric response to Space Weather events over the Mediterranean area. The modeling approach is developed through innovative "machine learning" techniques, recently introduced (Cesaroni et al 2020), the results of which point to this as a strategy to extend the time horizon of ionospheric forecasting, a fundamental requirement for increasing knowledge of Space Weather phenomena in near-Earth space. In addition, the growing demand for semi-empirical approaches for real-time mitigation of errors introduced by the ionosphere on positioning and navigation systems makes the proposed topic a significant contribution in the area of "services and research for society" in relation to the strategic objective "Development of a National Space Weather Service" in the context of developing countermeasures to contain the negative effect that the irregular and disturbed ionosphere can have on technological systems in use in modern society such as, for example, navigation and positioning satellite systems (GNSS, GLobal Navigation Satellite Systems), trans-horizon HF radio communications, and L-band satellite communication systems. Such systems are of interest to a variety of end users who can be identified as users of the service in which the developed products may be embedded. Examples of users may include: precision agriculture operators, operators in the field of mapping, aviation, and radio communications operators for emergency management in civil defense. Cesaroni, C., Spogli, L., Aragon-Angel, A., Fiocca, M., Dear, V., De Franceschi, G., & Romano, V. (2020). Neural network based model for global Total Electron Content forecasting. Journal of Space Weather and Space Climate, 10, 11. The second research grant shall be developed in close collaboration with GE Avio (12 months out of 18 in total), and is related too the following topic: Operative Framework For HPC (Off-HPC) High-performance computing (HPC) clouds are becoming a complement or, in some cases, an alternative to on-premise clusters for running scientific-technical, engineering, and business analytics service applications. Most research efforts in the area of cloud HPC aim to analyze and understand the cost-benefit of migrating computationally intensive applications from on-premise environments to public cloud platforms. Industry trends show that on-premise/cloud hybrid environments are the natural path to get the best out of on-premise and cloud resources. Workloads that are stable from the point of view of required computing resources and sensitive from the point of view of the need to protect processed information can be performed on on-premise resources, while peak computational loads can take advantage of remote computing resources available in the cloud typically under a "pay-as-you-go" consumption mode. The main difficulties in using cloud solutions to run HPC applications stem from their characteristics and properties compared to traditional cloud services to handle, for example, standard enterprise applications, Web applications, data storage or backup, or business intelligence. HPC applications tend to require more computing power than application services typically delivered in cloud environments. These processing requirements arise not only from the characteristics of the CPUs (Central Processing Units), but also from the amount of memory and network speed to support their proper execution. In addition, such applications may have a particular and different execution mechanism than dedicated cloud application services that instead run 24/7. HPC applications tend to run in batch mode. Users execute a series of computational jobs, consisting of instances of the application with different inputs, and wait until results are generated to decide whether new computational tasks need to be submitted and executed. Therefore, moving HPC applications to cloud platforms requires not only a focus on resource allocation in the infrastructure in use and its optimization, but also on how users interact with this new environment. Research in the area of cloud HPC can be classified into three broad categories: (i) feasibility studies on adopting the cloud to replace or complement on-premise computing clusters to run HPC applications; (ii) performance optimization of cloud resources for running HPC applications; and (iii) services to simplify the use of cloud HPC, particularly for users who are not specialized in data and information processing and processing technologies. This research project intends to focus on study activities within the first category, in which, more specifically, there are four main aspects that should be considered: (i) metrics used to assess how feasible the use of HPC cloud is; (ii) resources used in computational experiments; (iii) computational infrastructure; and (iv) software, which includes both well-known HPC benchmarks and computational tools, algorithms, or methodologies related to specific business application cases. Currently, the company uses HPC applications running mostly on on-premise systems but faces issues related to the need for greater computational resources that can be met through flexible and scalable architectures provided by cloud technologies. The need is to build clear technology and governance references for cloud or hybrid infrastructures. The research project will therefore aim to carefully analyze the state of the art of hybrid HPC solutions, define criteria for benchmarking different solutions, develop an operational framework that includes the operational and economic management aspects of a hybrid HPC solution, and finally implement one or more industrial pilots. DEADLINE: June 24, 2022 ALL INCLUSIVE GROSS AMOUNT (for 18 months): 29050,50 euro (i.e., 19367 euro annual gross amount) NOTE: Foreign candidates are strongly encouraged to contact me by email if they need help/support in order to prepare their application: I will be glad to assist. Here you can download an unofficial English translation of the call: RIPARTI-call ******************************************************************************************* Prof. Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining/Machine Learning Head of HPC Lab https://hpc-lab.unisalento.it Director of Master in Applied Data Science Department of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org INGV National Institute of Geophysics and Volcanology Via di Vigna Murata 605 Roma CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ******************************************************************************************* --

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Expression of interest PhD Positions in Edge Computing
by Carlo Vallati 03 Jun '22

03 Jun '22

Dear all, we are looking for bright and highly motivated student for one PhD position at the Department of Information Engineering at the University of Pisa. The position is funded within the framework of the "Crosslab: Innovation for Industry 4.0" project. The research activities will be carried out in the "Cloud Computing, Big Data & Cybersecurity" laboratory ( https://crosslab.dii.unipi.it/cloud-computing-big-data-cybersecurity-lab) A short description of the research topic can be found below. Interested people are requested to send an expression of interest by submitting a curriculum vitae, a one-page research statement showing motivation and understanding of the topic of the position, and the official Transcript of Record. The expression of interest must be sent by email to Carlo Vallati at carlo.vallati(a)unipi.it with the reference [PhD expression of interest] in the subject of the email. Applications will be reviewed continuously until 5th July 2022. The starting date of the PhD position is Fall 2022. The duration of the PhD is three years. The compensation is a standard Italian Ph.D. student fare, about 1150 Euro/month net. ================================================ Edge Computing 2.0: Efficient Deep Learning at the Edge ================================================ Abstract: Deep neural networks (DNNs) have achieved unprecedented success in the field of artificial intelligence (AI), including computer vision, natural language processing, and speech recognition. However, their superior performance comes at the considerable cost of computational complexity, which greatly hinders their applications in many resource-constrained devices, such as Edge computing nodes and Internet of Things (IoT) devices. Therefore, methods and techniques that can lift the efficiency bottleneck while preserving the high accuracy of DNNs are in great demand to enable numerous edge AI applications. The proposed research plan involves the analysis and identification of the challenges related to DNNs for time series prediction both at training time, on the GPU-enabled resource-constrained devices, and at inference time, on microcontrollers, leveraging available open-source software such as Tensorflow and Pytorch. The final goal of the research activity will be the definition, design, implementation, and testing of novel algorithms to improve the efficiency of DNNs on the edge and on IoT devices, on real-case scenarios. Reference contact: Carlo Vallati, email: carlo.vallati(a)unipi.it -- -- ------------------------------ ------- Carlo Vallati, PhD Associate Professor Computer Networking Group Department of Information Engineering University of Pisa Via Diotisalvi 2, 56122 Pisa - Italy Ph. : (+39) 050-2217.572 (direct) .599 (switch) Fax : (+39) 050-2217.600 Skype: warner83 E-mail: carlo.vallati@iet.unipi.ithttp://www.iet.unipi.it/c.vallati/ -----------------------------------------------

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Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) at Hong Kong Baptist University
by COMP HKBU 31 May '22

31 May '22

The Department of Computer Science at Hong Kong Baptist University offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following faculty positions on tenure-track. *Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) (PR0395/21-22)* The appointees will perform high-impact research, teach and supervise students at undergraduate and postgraduate levels, and contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) security and privacy-aware computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high quality research in areas including but not limited to: Internet of things, Cyber-security, High-performance computing, Big data analytics, Art technologies and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. Initial appointment will be offered on a fixed-term contract of three years. Re-appointment thereafter will be subject to mutual agreement. For enquiries, please contact Professor Jianliang Xu, Head of Department (email: xujl(a)comp.hkbu.edu.hk) More information about the Department can be found at https://www.comp.hkbu.edu.hk. *Rank and salary will be commensurate with qualifications and experience.* *Application Procedure:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with *PR *number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. *Closing date: Shortlisting will start immediately until the position is filled.* *URL: *https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=743

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Ph.D. position: Deep learning for estimating the impact of drones on a mobile network
by Tayeb Lemlouma 19 May '22

19 May '22

>> Apologies for cross-posting << *Ph.D. positions at Orange and IRISA Labs (Lannion, France):* *Deep learning for estimating the impact of drones on a mobile network* *Summary* The objective of the thesis is to model and evaluate the impact of connected drone trajectories on a radio access network. This should consider road axes and cellular coverage of operators. The purpose of the model should consider planned drone routes to (1) minimize the impact in terms of traffic on RANs (radio access network), (2) avoid interference between drones and sensitive areas, and (3) maintain good QoE for the user equipments (UEs). *Required competencies:* knowledge of mobile networks, Deep Learning (ideally PyTorch or Tensorflow), Graph theory, Python, shell, Matlab, good communication in English, team work curiosity & open-mindedness. *How to apply?* https://orange.jobs/jobs/offer.do?joid=112419&lang=EN <https://orange.jobs/jobs/offer.do?joid=112419&lang=EN> *More details:* In English: details <https://orange.jobs/jobs/offer.do?joid=112419&lang=EN> In French: details <https://orange.jobs/jobs/offer.do?joid=112418&lang=FR> Please forward to anyone who may be interested. Thanks. >> Apologies for cross-posting <<

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