computational.science December 2017

computational.science@lists.iccsa.org

30 participants
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CFP- Complexis 2018: 3rd International Conference on Complexity, Future Information Systems and Risk Extended Deadline
by Anna Kobusińska 05 Dec '17

05 Dec '17

--------------------------- CALL FOR PAPERS --------------------------- Dear Colleagues: We cordially invite you to share your latest research results at the 2018 Complexis Conference. Due to many requests, the regular papers submission deadline of this conference has been extended: EXTENDED DEALINE OF POSITION PAPERS: *DECEMBER 6, 2017 * 3rd International Conference on Complexity, Future Information Systems and Risk (COMPLEXIS 2018) Funchal, Madeira / Portugal March 19 - 21, 2018 http://www.complexis.org/ https://www.facebook.com/ES2014ECs2015 ---------------------------- IMPORTANT DATES ---------------------------- Position Papers Paper Submission: December 6, 2017 Authors Notification: January 11, 2018 Camera Ready and Registration: January 24, 2018 Workshops Paper Submission: January 11, 2018 Authors Notification: January 25, 2018 Camera Ready and Registration: February 2, 2018 Doctoral Consortium Paper Submission: January 15, 2018 Authors Notification: January 26, 2018 Camera Ready and Registration: February 7, 2018 Special Sessions Special Session Proposal: December 13, 2017 Tutorials Tutorial Proposal: January 30, 2018 Demos Demo Proposal: January 30, 2018 Panels Panel Proposal: January 30, 2018 Open Communications Paper Submission: January 15, 2018 Authors Notification: January 26, 2018 Camera Ready and Registration: February 7, 2018 Forums Paper Submission: January 15, 2018 Authors Notification: January 26, 2018 Camera Ready and Registration: February 7, 2018 ---------------------------- Conference Scope: COMPLEXIS – the International Conference on Complexity, Future Information Systems and Risk, aims at becoming a yearly meeting place for presenting and discussing innovative views on all aspects of Complex Information Systems, in different areas such as Informatics, Telecommunications, Computational Intelligence, Biology, Biomedical Engineering and Social Sciences. Information is pervasive in many areas of human activity – perhaps all and complexity is a characteristic of current Exabyte- sized, highly connected and hyper dimensional, information systems. COMPLEXIS 2018 is expected to provide an overview of the state of the art as well as upcoming trends, and to promote discussion about the potential of new methodologies, technologies and application areas of complex information systems, in the academic and corporate world. Conference Areas: 1 - Complexity in Informatics, Automation and Networking 2 - Complexity in Biology and Biomedical Engineering 3 - Complexity in Social Sciences 4 - Complexity in Computational Intelligence and Future Information Systems 5 - Complexity in EDA, Embedded Systems, and Computer Architecture 6 - Network Complexity 7 - Complexity in Risk and Predictive Modeling ---------------------------- PUBLICATION ---------------------------- All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library. Proceedings will be submitted for indexation by: DBLP, Thomson-Reuters Conference Proceedings Citation Index, INSPEC, EI and SCOPUS A short list of presented papers will be selected and their revised and extended versions will be published in the *Special Issue of Journal of Grid Computing (JGC)*. Other special issues in the high quality journals like FGCS are also being discussed. ---------------------------- KEYNOTE SPEAKERS ---------------------------- Tobias Hoellwarth, EuroCloud Europe, Austria Péter Kacsuk, MTA SZTAKI, Hungary --------------------------- WORKSHOPS: --------------------------- Big Data Analytics and IoT for Smarter Healthcare - IoTforeHealth (IoTBDS) Chairs: Farshad Firouzi, Bahar Farahani and Victor Chang Submission: January 11, 2018 ---------------------------- PUBLICATION ---------------------------- In Cooperation with: International Federation for Systems Research European Association for Theoretical Computer Science All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library. Proceedings will be submitted for indexation by: DBLP, Thomson-Reuters Conference Proceedings Citation Index, INSPEC, EI and SCOPUS ------------------------------- Organizing Committees ------------------------------- CONFERENCE CHAIR Victor Chang, Xi'an Jiaotong-Liverpool University, China PROGRAM CO-CHAIRS Víctor Méndez Muñoz, Universitat Autònoma de Barcelona, UAB, Spain Muthu Ramachandran, Leeds Beckett University, United Kingdom PUBLICITY CHAIR Anna Kobusinska, Poznan University of Technology, Poland Keynote Speaker Ernesto Estrada, University of Strathclyde, United Kingdom Please visit the IEEE COMPLEXIS 2018 website http://www.complexis.org/ProgramCommittee.aspx for the complete listing of organizing committee and TPC members.

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Deadline Extension for ACM GLSVLSI'18 and Call for Special Sessions
by Yi-Chung Chen 04 Dec '17

04 Dec '17

[Apologies if you receive multiple copies of this email] *************** DEADLINE EXTENSION: New Paper Submission Deadline: December 21, 2017. (Final Deadline) IN ADDITION, CALL FOR SPECIAL SESSIONS: http://www.glsvlsi.org/GLSVLSI18-Special-Session-CFP.pdf The 28th Edition of the ACM Great Lakes Symposium on VLSI (GLSVLSI), Sponsored by ACM SIGDA Conference dates: May 23-25, 2018 Location: Chicago, USA http://www.glsvlsi.org/ The 28th edition of GLSVLSI will be held in Chicago. Original, unpublished papers describing research in the general areas of VLSI and hardware design are solicited. Please visit http://www.glsvlsi.org/·for more information. In addition to the traditional topic areas of GLSVLSI listed below, papers are solicited for a special theme of IoT Hardware and Heterogeneous Computing for Artificial Intelligence. - Track 1: VLSI Design - Track 2: VLSI Circuits and Power Aware Design - Track 3: Computer-Aided Design (CAD) - Track 4: Testing, Reliability, Fault-Tolerance - Track 5: Emerging Computing & Post-CMOS Technologies - Track 6: Hardware Security - Track 7: VLSI for Machine Learning and Artificial Intelligence Details of the requirements that each track places on submitted papers can be found on the conference website. Paper Submission Guidelines ============================ Authors are invited to submit full-length (6 pages maximum), original, unpublished papers along with an abstract of at most 200 words. To enable blind review, the author list should be omitted from the main document. Previously published papers or papers currently under review for other conferences/journals should NOT be submitted and will not be considered. Electronic submission in PDF format to the http://www.glsvlsi.org/ website is required. Author and contact information (name, affiliation, mailing address, telephone, fax, e-mail) must be entered during the submission process. Paper Format: Submissions should be in camera-ready two-column format, following the ACM proceedings specifications located at: http://www.acm.org/publications/proceedings-template-16dec2016and the classification system detailed at: http://www.acm.org/publications/class-2012. Paper Publication and Presenter Registration: Papers will be accepted for regular or poster presentation at the symposium. Every accepted paper MUST have at least one author registered to the symposium by the time the camera-ready paper is submitted; at least one of the authors is also expected to attend the symposium and present the paper. Important Dates ============================ Paper submission deadline: December 21, 2017 Acceptance Notification: February 13, 2018 Camera-Ready Paper Due: March 13, 2018 Special Session Proposal submission deadline: January 15, 2018 Notification of acceptance/rejection: January 31, 2018 Organizers ============================ General Chair: Deming Chen University of Illinois at Urbana-Champaign, USA Program Co-Chairs: Houman Homayoun George Mason University, USA Baris Taskin Drexel University, USA Finance Chair: Weisheng Zhao Beihang University, China Local Chair: Qi Zhu Northwestern University, USA Publicity Co-Chairs: Robert Wille Johannes Kepler University, Austria Yuan-Hao Chang Academia Sinica, Taiwan Miao Hu Binghamton University, USA Special Sessions Chair: Yanjing Li University of Chicago, USA Web & Registration Chair: Yi-Chung Chen SUNY at New Paltz, USA Proceedings Chair: Kyle Rupnow Inspirit IoT, Inc., USA

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CFP to Special Issue in SCAC on Scalable Algorithms and Behavior Analytics in Cyber-Enabled World - Deadline Mar. 31, 2018
by Xiaokang Zhou 04 Dec '17

04 Dec '17

[Apologies if you receive this more than once] [SCAC Call for Papers] http://static.springer.com/sgw/documents/1608722/application/pdf/scalable+a… ======================================================================= Scalable Computing and Communications Special Issue on Scalable Algorithms and Behavior Analytics in Cyber-Enabled World ----------------------------------------------------------------------------------------------------------------------------- Aims and Scope Due to the emerging computing paradigm, the physical, social, and mental world are increasingly integrating and merging into the cyberspace. In this emerging but significant field, it is necessary to model the human individual information processing along with their corresponding behaviors, in order to build systematic knowledge about new phenomena, behaviors, properties and practices across the broad applications in cyber-enabled world. Specifically, studies related to scalable algorithm and behavioral analysis are conducted in terms of the cyber entities, as well as their relations and conjugations in physical, social and mental spaces, which focuses more on the basic attributes, models, functions, and evolutions of cyber entities, and all their possible relations conjugated with real things. For this scientific and systematic study, numerous challenges are raised as: How to establish and improve the foundational theory and methodology for the scalable computing and data processing in the cyber-enabled world? How to find a unified way to study and represent the diversified cyber entities along with their behavior patterns and communications? How to systematically extract, create, and fuse the information, knowledge, and intelligence generated across the physical-social systems for the sustainable utilization? How to deal with the accompanying issues while producing numerous cyber things, such as security, reliability, and etc. Topics may include (but are not limited to): • Scalable Communications in Cyber-world • Data Centric Computing in Cyberspace • Scalable Knowledge Modeling and Management in Cyber-world • User Behavior Analysis and Modeling in Cyber-physical Systems • User Influence Measure and Model in Cyberspace • Cyber-Social Sensing and Behavior Analysis • Scalable Cyber Hybrid Interface/System Design • Scalable Mechanisms for Intelligent Transportation Systems • Cyber-Based Learning Analytics with Scalable Computing • Cyber-Empowered Sentiment Analysis and Mental Computing • Wearable Computing and Smart Sensor • Scalable Computing for Healthcare • Scalability in Cyber Security, Privacy and Reliability • Scalable algorithms for Cyber Visualization • Scalable deep learning architectures • Scalable Brain-inspired Computing and Soft Computing • Scalable Agent-based Computing • Scalable algorithms for the Internet of Things • Scalable algorithms for Edge computing (EC) and Mobile Edge Computing (MEC) • Scalable Services for Pervasive Computing Submissions Authors should prepare their manuscript according to the Guide for Authors of Scalable Computing and Communications available from http://www.springer.com/41122 , and submit online at: https://www.editorialmanager.com/scac . To ensure that the manuscript is correctly identified for inclusion into the special issue, authors must select "Scalable Algorithms and Behavior Analytics in Cyber-Enabled World" when they reach the “Article Type” step in the submission process. Tentative Schedule Paper Submission Due: Mar. 31, 2018 Completion of first review cycle: Jul. 15, 2018 Deadline for submitting the revised papers: Oct. 15, 2018 2nd review completion: Nov. 30, 2018 Camera-ready Manuscript Due: Dec. 31, 2018 Guest editors: Xiaokang Zhou, Shiga University, Japan Kevin Wang, The University of Auckland, New Zealand Flavia C. Delicato, Federal University of Rio de Janeiro, Brazil Adnan Al-Anbuky, Auckland University of Technology, New Zealand Contact Information Corresponding Guest Editor, Dr. Zhou (zhou(a)biwako.shiga-u.ac.jp) -- Xiaokang Zhou (周暁康), Ph.D. Faculty of Data Science The Center for Data Science Education and Research, Shiga University 1-1-1 Banba, Hikone, Shiga 522-8522, Japan Email: zhou(a)biwako.shiga-u.ac.jp Phone: +81-749-27-1290

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ACDL 2018, Advanced Course on Data Science and Machine Learning - Early Registration March 31
by Giuseppe Nicosia 01 Dec '17

01 Dec '17

ACDL 2018, Advanced Course on Data Science and Machine Learning An Interdisciplinary Course: Data Science, Machine Learning and Artificial intelligence without Borders ACDL 2018 – A Unique Experience: Data Science & Machine Learning with the World’s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano Certosa di Pontignano, Siena - Tuscany, Italy July 19-23, 2018 https://acdl2018.icas.xyz/ Early registration deadline: March 31, 2018 https://acdl2018.icas.xyz/registration/ LECTURERS: Roman Belavkin, Middlesex University London, UK Yoshua Bengio, University of Montreal, Canada Sergiy Butenko, Texas A&M University, USA Yi-Ke Guo, Imperial College London, UK Yann LeCun, Director of AI Research, Facebook New York University, USA Peter Norvig, Director of Research, Google Panos Pardalos, University of Florida, USA Alex 'Sandy' Pentland, MIT, USA Mauricio Resende, Amazon, USA More speakers to be announced soon! SCOPE: The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. VENUE & ACCOMMODATION: The venue of ACDL 2018 will be The Certosa di Pontignano — Siena The Certosa di Pontigniano Loc. Pontignano, 5 – 53019, Castelnuovo Berardenga (SI) – Tuscany – Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info(a)lacertosadipontignano.com http://www.lacertosadipontignano.com/ A few kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2018.icas.xyz/venue/ REGISTRATION: https://acdl2018.icas.xyz/registration/ lod(a)icas.xyz https://acdl2018.icas.xyz/

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computational.science December 2017