computational.science October 2020

computational.science@lists.iccsa.org

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CFP: 19th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2021)
by Bahman Javadi 09 Nov '20

09 Nov '20

*19th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2021)* AusPDC 2021 will be held online in conjunction with Australasian Computer Science Week (ACSW) <http://www.acsw.org.au/>, 1 - 5 February 2021. *Scope of the Symposium* In 2010, AusGrid event was broadened to include all aspects of parallel and distributed computing and hence was called as Australasian Symposium on Parallel and Distributed Computing (AusPDC). Following a couple of successful events, it comes to the 19th in 2021 in the series. In both New Zealand and Australia parallel and distributed computing has been recognised as strategic technologies for driving their moves towards knowledge economies. A number of projects and initiatives are underway in both countries in these areas. There is a natural interest in tools which support collaboration and access to remote resources given the challenges of the countries location and sparse populations. Topics of interest for the symposium include (but not limited to): - Cloud computing - Fog/edge computing - Grid and Cluster computing - Big Data processing and analytics - Virtualization, containers, unikernels, orchestration and other enablers - Security, trust and privacy in Clouds/Fog/Edge - Mobile, sensor networks and Internet of things - Data storage, placement and replication - Distributed Ledger Technologies and Blockchains - Multi-core systems - Peer-to-peer computing - GPUs and other forms of special-purpose processors - Service computing and workflow management - Managing large distributed data sets - Middleware and tools - Network function virtualisation and Software-defined networks - Performance evaluation and modelling - Datacentre and Interconnection networks - Performance accelerators - Problem-solving environments - Parallel programming models, languages and compilers - Operating systems and runtime systems - Resource scheduling and load balancing - Data mining and machine learning - Computational Science and Engineering - Agent-based computing - Reliability, security, privacy and dependability - e-Science and e-Health Applications The symposium is primarily targeted at researchers from Australia and New Zealand, however, in the spirit of parallel and distributed computing, which aims to enable collaboration of distributed virtual organisations, we encourage papers and participation from international researchers. *Paper Submission*The proceedings of the symposium will be published by ACM in conjunction with ACSW 2021. Papers should be formatted in double-column according to ACM conference paper formatting guidelines <https://www.acm.org/publications/taps/word-template-workflow> ACM SIG Proceedings Templates. The following guidelines must be met for all submissions: - Submissions must be in English. - Submissions must not exceed 10 pages for full papers, 4 pages for short papers and 2 pages for posters. - Submissions must be in PDF format. Other formats will not be accepted. - Submissions must clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to other work. - Submissions must be original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this conference. - Authors must choose the appropriate satellite conference or workshop for your submission. Papers are to be submitted via the ACSW 2021 Easy Chair Submission Site <https://easychair.org/my/conference?conf=acsw2021>. Upon logging into the system, please select “New Submission”, then select "Australasian Symposium on Parallel and Distributed Computing" track and proceed through the steps for submission. Every submission will be reviewed by a minimum of three members of the program committee. *Awards* A selection commission chaired by the AusPDC technical programme committee will select and acknowledge the best paper and the best student paper to receive an award during the conference. *Committees:General Co-Chair*Rajkumar Buyya, University of Melbourne, Australia Bahman Javadi, Western Sydney University, Australia *Program Committee Chairs* Adel N. Toosi, Monash University, Australia Irene Moser, Swinburne University of Technology, Australia *Steering Committee*Schahram Dustdar, Technical University of Vienna, Austria Zahir Tari, RMIT University, Australia Salil Kanhere, University of New South Wales, Sydney, Australia Yun Yang, Swinburne University of Technology, Australia Javid Taheri, Karlstad University, Sweden Conference Website: https://sites.google.com/monash.edu/auspdc2021/

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Call for Papers: ScalA@SC 2017 - Papers due August 28
by Engelmann, Christian 04 Nov '20

04 Nov '20

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA’17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with ACM SIGHPC November 13, 2017, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2017> Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems. Submission Guidelines Authors are invited to submit manuscripts in English structured as technical papers not exceeding 8 letter size (8.5in x 11in) pages including figures, tables, and references using the ACM format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.acm.org/sigs/publications/proceedings-templates>. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop 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. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop program chair for more information. Papers should be submitted electronically at: <https://easychair.org/conferences/?conf=scala17>. Full papers will be published with the SC'17 workshop proceedings in the ACM Digital Library and IEEE Xplore. Selected papers will be invited for an extended version in a special issue of the Journal of Computational Science (JoCS). Important Dates - Full paper submission: August 28, 2017 - Notification of acceptance: September 11, 2017 - Final paper submission (firm): October 9, 2017 - Workshop/conference early registration: TBD - Workshop: November 13, 2017 Topics of interest include, but are not limited to: - Novel scientific algorithms that improve performance, scalability, resilience, and power efficiency - Porting scientific algorithms and applications to many-core and heterogeneous architectures - Performance and resilience limitations of scientific algorithms and applications at scale - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - Zizhong Chen, University of California, Riverside, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Christian Engelmann, Oak Ridge National Laboratory, USA - Wilfried Gansterer, University of Vienna, Austria - Michael Heroux, Sandia National Laboratories, USA - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - Ron Perrot, University of Oxford, UK - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. R&D Staff Scientist Computer Science Research Group Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov / Home: www.christian-engelmann.info

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Call for Papers Research Topic on Prediction and Explanation in Biomedicine using Network-Based Approaches [Frontiers in Genetics]
by Alessio Martino 26 Oct '20

26 Oct '20

Dearest Colleagues, I am contacting you in my capacity as Guest Associate Editor for a Research Topic titled: "Prediction and Explanation in Biomedicine using Network-Based Approaches" to appear in Frontiers in Genetics: https://www.frontiersin.org/research-topics/17011 <https://www.mdpi.com/journal/entropy/special_issues/Hypergraphs> With this call for papers, I invite you and/or your co-authors to submit an original research paper, or a focused review, for our special issue. Deadline for abstract submissions: 25 January 2021 Deadline for manuscript submissions: 26 April 2021 Submitted papers will be peer reviewed and, upon acceptance, the paper will be published in open access form soon after professional editing. Thank you in advance for your consideration and I sincerely hope that you will accept this invitation to contribute to this Special Issue. If you believe that you will be able to submit a manuscript, I would also greatly appreciate if you could respond to this invitation at your earliest convenience. “Frontiers in Genetics” (ISSN 1664-8021, IF: 3.258) is an open access journal published online by Frontiers and indexed by Google Scholar, Scopus, PubMed, PubMed Central, amongst others. Best Regards Alessio Martino PostDoctoral Research Fellow University of Rome "La Sapienza" | Dept. of Information Engineering, Electronics and Telecommunications p: +39 0644585745 <tel:+39 0644585745> w: web.uniroma1.it/dip_diet/en <https://web.uniroma1.it/dip_diet/en> e: alessio.martino(a)uniroma1.it <mailto:alessio.martino@uniroma1.it> a: Via Eudossiana 18, 00184 Rome, Italy <https://www.researchgate.net/profile/Alessio_Martino> <https://www.linkedin.com/in/alessioxmartino> <https://join.skype.com/invite/omvT1LoeWLcF> This email and its attachments may be confidential and are intended solely for the use of the intended recipient. If you are not the intended recipient of this email and its attachments, you must take no action based upon them, nor must you copy or show them to anyone. Please contact the sender if you believe you have received this email in error. Any views or opinions expressed are solely those of the author and do not necessarily represent those of the University. -- ________________________________________________________ Le informazioni contenute in questo messaggio di posta elettronica sono strettamente riservate e indirizzate esclusivamente al destinatario. Si prega di non leggere, fare copia, inoltrare a terzi o conservare tale messaggio se non si è il legittimo destinatario dello stesso. Qualora tale messaggio sia stato ricevuto per errore, si prega di restituirlo al mittente e di cancellarlo permanentemente dal proprio computer. The information contained in this e mail message is strictly confidential and intended for the use of the addressee only. If you are not the intended recipient, please do not read, copy, forward or store it on your computer. If you have received the message in error, please forward it back to the sender and delete it permanently from your computer system. --

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CFP - 21th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021)
by Bahman Javadi 25 Oct '20

25 Oct '20

============================================================================= The 21th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021) May 10-13, 2021, Melbourne, Victoria, Australia cloudbus.org/ccgrid2021/ ============================================================================== Call For Papers The 21st IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021) is a leading forum to disseminate and discuss research activities and results on a broad range of topics in distributed systems, ranging from computing Clusters to widely distributed Clouds and emerging Internet computing paradigms such as Fog/Edge Computing for Internet of Things (IoT)/Big Data applications. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2021 conference. In 2021, IEEE/ACM CCGrid 2021 will be ‘self-colocated’ with its postponed 2020 edition, in Melbourne, Australia. We will jointly celebrate the 20th and 21st anniversary of the conference ! We solicit original contributions on all aspects of distributed systems and applications in the context of Cluster, Cloud, and Internet computing environments. Specific topics of interest include but are not limited to the following: Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming, Highly decentralized approaches to cloud computing. Edge/Fog computing, sensor data streaming and computation on the edges of the network. Function as a Service (Faas), Backend as a Service (BaaS), serverless computing, lambda computing. Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service composition and orchestration. Software-Defined Network-enabled Systems. Micro-datacenter, cloudlet, edge, or fog computing infrastructure. Virtualized hardware: GPUs, tensor processing units, FPGAs. Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge. 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 Modelling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance. Cyber-Security, Privacy and Resilient Distributed Systems: Distributed Systems security and trust. Access control. Data privacy and integrity. Regulation. Resiliency of service attacks. Sustainable and Green Computing: Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness. Applications: Data Science, Artificial Intelligence, Machine Learning, Cyber-Physical Systems, e-Health, Internet of Things (IoT)-enabled Smart Systems and Applications. ------------------------ Chairs and Committees ------------------------ General Chairs: Rajkumar Buyya, University of Melbourne, Australia Gul Agha, University of Illinois at Urbana-Champaign, USA Program Committee Co-Chairs: Laurent Lefevre, INRIA, France Stacy Patterson, RPI, USA Young Choon Lee, Macquarie University, Australia Important Dates Paper Due: 8 December 2020 (Final paper submission : 15 December) Acceptance Notification: 8 February 2021 Camera Ready Papers Due: 3 March 2021 ==============================================================================

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CFP on Evolutionary Algorithms in Artificial Intelligent Systems, open access special issue
by Valentina Franzoni 23 Oct '20

23 Oct '20

Deadline: 31 December 2020 Journal Mathematics (indexed on Scopus, WoS, JCR) https://www.mdpi.com/journal/mathematics/special_issues/Artificial_Intellig… Dear Colleagues, Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. Successful early applications of the evolutionary computational approach can be found in the field of numerical optimization, while they have now become pervasive in applications for planning, scheduling, transportation and logistics, vehicle routing, packing problems, etc. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization problems, as components of intelligent systems for supporting tasks and decisions in the fields of machine vision, natural language processing, parameters optimization for neural networks (neuroevolution), and features selection in machine learning systems. Moreover, they are also applied in areas like complex networks dynamics, evolution and trend detection in social networks, emergent behaviour in multiagent systems and adaptive evolutionary user interfaces, to mention a few. In these systems, the evolutionary components are integrated into the overall architecture and they provide services, e.g., pattern matching services, to the specific algorithmic solutions. The aim of this Special Issue is to bring together recent theoretical and applicative research advancements in the area of evolutionary algorithms as components of intelligent systems, with a focus on solutions and methodologies that can be reused to solve subclasses of problems recurring in intelligent applications. Contributions are welcome on theoretical models and applications to intelligent systems of evolutionary algorithms for, but not limited to, single-objective and multiobjective optimization, numerical continuous nonlinear optimization, combinatorial optimization, graph matching and pattern matching, agents, and automata optimization. Evolutionary paradigms to be considered, non-exhaustively, include continuous and discrete differential evolution, genetic algorithms, memetic and foraging schemes, online evolutionary algorithms, genetic programming, co-evolution mechanisms, artificial immune systems, swarm-based approaches, ant colony optimization, and, more generally, nature and bio-inspired metaheuristics. The selection criteria will be primarily based on the formal and technical soundness, the experimental support, and the relevance of the contribution and its impact on the reusability of the results for solving subgroups of problems recurring in a class of intelligent applications. Prof. Dr. Alfredo Milani Dr. Valentina Franzoni *Guest Editors* ------------------------------ Valentina Franzoni, *Ph.D. Engineering for Computer Science* Sapienza University of Rome, Dept. of Computer, Control and Management Engineering *Research Fellow* University of Perugia, Dept. of Mathematics and Computer Science Via Vanvitelli 1, 06123 Perugia, Italy --- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential or privileged material. Any review of, re-transmission, dissemination or other use of, or taking of any action in reliance upon, this information by persons or entities other than the intended recipient is prohibited. If you received this in error, please inform the sender by e-mail and delete the content.

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2-years position (INF/01) in Milan: Data integration and Artificial Intelligence for Life science
by Chiara Damiani 21 Oct '20

21 Oct '20

Dear colleagues, I am writing to advertise a research fellowship for a Data Scientist/Computational Biology at the Department of Biotechnology and Biosciences of the University of Milan-Bicocca, where I work as as fixed-term researcher and where I am starting a research group in Data Integration and Complex Systems. The lab collaborates actively with the Department of Computer Science and with the Joint Research Unit ISBE-it. The announcement of selection will be published soon on https://bandi.miur.it/ <https://bandi.miur.it/>. The deadline will be 30 days after the publication day. The position will start on January 1st 2021. You can find a description of the position and of the candidate we would like to attract in attachment or here <https://sites.google.com/view/chiaradamiani/job-opening> (https://sites.google.com/view/chiaradamiani/job-opening <https://sites.google.com/view/chiaradamiani/job-opening>). Please help me disseminate this post among your colleagues and students. Thanks for your attention, Chiara Damiani, ---------------------- Department of Biotechnology and Biosciences University of Milan Bicocca Building U4 - Room 4019 - Piazza Della Scienza 4 - Milan (MI) phone: +39 02 64483402 mail: chiara.damiani(a)unimib.it <mailto:chiara.damiani@unimib.it> Cari colleghi, vi scrivo per segnalare un assegno di ricerca in INF/01 per Data Scientist/Computational Biology al dipartimento di Biotecnologie e Bioscienze dell'Università di Milano-Bicocca, dove ho recentemente preso posizione come ricercatore (RTD-B in INF/01) e dove sto avviando un gruppo di ricerca in Data Integration and Complex Systems. Il laboratorio collabora attivamente con il Dipartimento di Informatica, Sistemistica e Comunicazione e con l’infrastruttura di ricerca ISBE-it. Il bando uscirà a giorni su https://bandi.miur.it/ <https://bandi.miur.it/> (con scadenza a 30gg) e la posizione decorrerà dal primo gennaio 2021. Trovate una breve descrizione della posizione del candidato che vorremmo attrarre in allegato o qui <https://sites.google.com/view/chiaradamiani/job-opening> (https://sites.google.com/view/chiaradamiani/job-opening <https://sites.google.com/view/chiaradamiani/job-opening>). Vi pregherei di segnalare il post a chi fosse interessato e di girarlo nelle vostre mailing lists di dottorandi, assegnisti, studenti. Grazie mille per l’attenzione, Chiara Damiani, ---------------------- Department of Biotechnology and Biosciences University of Milan Bicocca Building U4 - Room 4019 - Piazza Della Scienza 4 - Milan (MI) phone: +39 02 64483402 mail: chiara.damiani(a)unimib.it <mailto:chiara.damiani@unimib.it> Chiara Damiani, Ph.D. Department of Biotechnology and Biosciences University of Milan Bicocca Building U4 - Room 4019 - Piazza Della Scienza 4 - Milan (MI) phone: +39 02 64483402 mail: chiara.damiani(a)unimib.it <mailto:chiara.damiani@unimib.it>

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2020 IEEE Technical Committee on Cloud Computing (TCCLD) Awards - Call for Nominations
by IEEE TCCLD 05 Oct '20

05 Oct '20

Dear all, [Apologies if you receive multiple copies of this message] As a friendly reminder, please nominate qualified candidates for the 2020 IEEE Technical Committee on Cloud Computing (TCCLD) awards listed below by 2020-10-20. Please also help with distributing the call for nominations. - *TCCLD Outstanding Ph.D. Thesis Award. * TCCLD Outstanding Ph.D. thesis award is presented to a researcher whose Ph.D. thesis has the potential of a very high impact in cloud computing or gives direct evidence of such an impact. Only a Ph.D. degree obtained in 2019/2020 is considered for this award. *Chair*: Prof. Xiaochun Cheng <https://www.mdx.ac.uk/about-us/our-people/staff-directory/profile/cheng-xia…>. Email: x.cheng(a)mdx.ac.uk - *TCCLD Rising Star Award (within 5 years of receiving Ph.D degree)* It recognizes outstanding young scientists and engineers who have demonstrated exceptional capabilities and made a significant contribution to the field of cloud computing. Only candidates who receive their Ph.D. within 5 years are eligible. *Chair:* Prof. Ling Liu. Email: ling.liu(a)cc.gatech.edu - *TCCLD Research Innovation Award.* Anyone or one group of collaborators whose outstanding technical innovations are in the field of cloud computing. The contributors must have a long-term impact on advancing the theory and practice in cloud computing. *Chair:* Prof. Yo-Ping Huang Email: yphuang(a)ntut.edu.tw - *TCCLD Outstanding Leadership Award* This award recognizes one individual for her/his outstanding leadership contributions in the field of cloud computing. Also, the outstanding contributions in the application of cloud computing which affect and improve global business and help organizations and individuals are considered. *Chair:* Prof. Beniamino Di Martino. Email: beniamino.dimartino(a)unicampania.it - *TCCLD Outstanding Service Award* This award recognizes one individual who has outstanding services to building the cloud computing community with significant and persistent volunteer efforts, such as services to IEEE TCCLD activities worldwide, annual related events. *Chair*: Martin Gilje Jaatun. Email: martin.g.jaatun(a)sintef.no - *TCCLD Women in Cloud Computing Award* It recognizes women leaders who have made outstanding, influential, and potentially long-lasting contributions in the field of cloud computing and solve real problems. *Chair*: Prof. YuanYuan Yang. Email: yuanyuan.yang(a)stonybrook.edu - *TCCLD Impact Award* It recognizes senior researchers or educators for her/his significant/distinguished contribution in the field of cloud computing. *Chair*: Prof. Christophe Cérin. Email: c.cerin(a)computer.org. *Details on the awards and the nomination process are available at * https://tc.computer.org/tccld/awards/ . *Eligible applicants* 1. The TCCLD members. Join TCCLD Now <https://www.ieee.org/membership-catalog/productdetail/showProductDetailPage…> 2. Qualified candidates except for the IEEE TCCLD chairs, TCCLD executive committee members, and the past IEEE TCCLD awardees. 3. Nominees that have not been recognized for the TCCLD award will be reviewed with higher priority. 4. In terms of the TCCLD Outstanding Ph.D. Thesis Award, the Ph.D. degree should have been obtained in 2019/2020. *Nomination Process* o Anyone in the field can nominate one person. Self-nominations are not accepted. o Nominations should include a proposed citation (up to 25 words), a detailed statement to justify the nomination (500 words or less), and personal/team web page URL of the nominee. o Two supporting letters are required for each nomination. The letters should address the significance of the contributions cited in the nomination. o Nominations that did not result in an award can be resubmitted or updated in subsequent years. o The Awards Committee will evaluate all nominations and decide on zero or more winners for each award category. *Important Dates:* - Oct. 20: Nomination due - Nov. 20: Selection results. (Internal) - Nov. 30: Announcement of Winners (Web & CloudCom 2020) CloudCom 2020 <https://2020.cloudcom.org/> *Submission Link* All nominations should be sent through the following link. All the files should be merged into one PDF file. The submission link is as follow. * TCCLD Award Nomination <https://docs.google.com/forms/d/e/1FAIpQLSfJ7k-ruXSTUUrjHdWlfRk0b6f10wILgHN…>* Note: If you require further information, feel free to contact ieeetccld(a)gmail.com <ieeetccld(a)gmail.com> *Awards committee chairs* - Prof. Xiaochun Cheng <https://www.mdx.ac.uk/about-us/our-people/staff-directory/profile/cheng-xia…>, Middlesex University, UK.* ( TCCLD Outstanding Ph.D. Thesis Award Chair.) * Email: x.cheng(a)mdx.ac.uk - Prof. Yo-Ping Huang, National Taipei University of Technology, Taiwan.* (TCCLD Research Innovation Award Chair)*. - Email: yphuang(a)ntut.edu.tw - Prof. Christophe Cérin, University of Paris XIII, France. (TCCLD Impact Award Chair) - Email: c.cerin(a)computer.org - Prof. Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli, Italy. *( TCCLD Outstanding Leadership Award Chair)* - Email: beniamino.dimartino(a)unicampania.it - Prof. Ling Liu, Georgia Institute of Technology, USA. *(TCCLD Rising Star Award Chair) * - Email: ling.liu(a)cc.gatech.edu - Prof. YuanYuan Yang, Stony Brook University, USA. *(TCCLD Women in Cloud Computing Awar Chair) * - Email: yuanyuan.yang(a)stonybrook.edu - Martin Gilje Jaatun, SINTEF, Norway *(TCCLD Outstanding Service Award Chair) * - Email: martin.g.jaatun(a)sintef.no Meanwhile, Awardees will be publicized through TCCLD social media channels as follow. I. Facebook: IEEE Cloud Computing ( https://www.facebook.com/ieeecloudcomputing/). II. Twitter: IEEE Cloud Computing (https://twitter.com/ieeecloud). ------------------------------ To unsubscribe from the tccld-announce list, click the following link: https://cs-listserv.ieee.org/cgi-bin/wa?SUBED1=tccld-announce&A=1

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computational.science October 2020