- computational.science - lists.iccsa.org

Call For Papers: The 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention
by Andrii Shalaginov 07 Aug '17

07 Aug '17

Dear Colleague, (Apologies for multiple postings) We would like to invite you to submit your contributions to the 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention. It is co-located with IEEE International Conference on Big Data 2017 that will take place in Boston, USA, December 11-14, 2017. Workshop webpage: https://www.ntnu.edu/iik/digital_forensics/ieeebigdata2017 *** IMPORTANT DATES *** Sept 10, 2017: Due date for full workshop papers submission Oct 15, 2017: Notification of paper acceptance to authors Nov 15, 2017: Camera-ready for accepted papers Dec 11-14, 2017: Workshop *** INTRODUCTION *** The big data paradigm has become inevitable in every aspect of the digital forensics process. Increase in personal devices (such as computers, smart phones, tablets, sensors and storage mediums) results in an expanding volume of potential evidence found in them. The increase in data is one of the largest challenges facing law enforcements’ timely prosecutions; with the effect, that human analysts can no longer be the lone actor in the loop. There is a need to create innovative and advanced models and analysis methods to help human analysts within law enforcements in order to automatically aid with the discovery, correlation, examination, analysis and understanding of evidence in criminal cases. Advanced big data analytics are important for cybercrime investigation and require novel approaches for automation. *** PROPOSED TOPICS *** Note that the topics are not limited to this proposed list. 1. Algorithms - Machine learning-aided analysis - Graph-based detection - Topic modeling - Secure platforms - Distributed storage and processing - Secure collaborative platforms 2. Applications - Network forensics readiness - Cyber threats intelligence - Malware analysis and detection - Emails mining - Events correlations - Access logs analysis - Mobile and Internet of Things forensics - Fraud detection - Database forensics 3. Data - Novel datasets - Digital forensics data simulation - Anonymised case data - Data storage standards - New formats and taxonomies *** PROGRAM CO-CHAIRS *** Andrii Shalaginov, Norwegian University of Science and Technology Katrin Franke, Norwegian University of Science and Technology Jan William Johnsen, Norwegian University of Science and Technology *** PROGRAM COMMITTEE *** Asif Iqbal (KTH Royal Institute of Technology) Bojan Kolosnjaji (Technical University of Munich) Carl Leichter (Norwegian University of Science and Technology) Dmitry Kangin (University of Exeter) Emiliano Casalicchio (Blekinge Institute of Technology) Ethan Rudd (University of Colorado Colorado Springs) Hamid Ebadi (Chalmers University of Technology) Hanno Langweg (Konstanz University of Applied Sciences) Heri Ramampiaro (Norwegian University of Science and Technology) Martin Boldt (Blekinge Institute of Technology) Michael McGuire (Towson University) Olaf M. Maennel (Tallinn University of Technology) Pavel Gladyshev (Dublin School of Computer Science) Pierre Lison (Norwegian Computing Centre) *** PAPER SUBMISSION *** Our workshop invites authors to submit: full-length papers (up to ten pages), short papers (up to six pages) or abstract papers (up to three pages) through the online submission system: https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submitform.php?subarea… Papers have to follow the IEEE 2-column format and the Computer Society Proceedings Manuscript Formatting Guidelines. See formatting instructions here: https://www.ntnu.edu/iik/digital_forensics/ieee-bigdata-2017-formatting-ins… *** BEST PAPERS *** Selected papers are nominated for submission to “Special Issue on Cyber Threat Intelligence and Analytics”. Extended papers should have at least 60% of new material and will be sent through a review process to ensure the quality of contributions. *** CONTACTS*** If you have any questions, do not hesitate to contact Andrii Shalaginov (andrii.shalaginov(a)ntnu.no) and Jan William Johnsen (jan.w.johnsen(a)ntnu.no) Best regards, Andrii Shalaginov, on behalf of Katrin Franke and Jan William Johnsen Norwegian University of Science and Technology, Gjøvik, Norway

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GraMSec 2017 - last call for participation
by Barbara Kordy 04 Aug '17

04 Aug '17

****************************************************************** GraMSec 2017 The Fourth International Workshop on Graphical Models for Security Co-located with CSF 2017 Santa Barbara, CA, USA - August 21, 2017 http://gramsec.uni.lu/ ****************************************************************** ABOUT GraMSec Graphical security models provide an intuitive but systematic methodology to analyze security weaknesses of systems and to evaluate potential protection measures. Such models have been subject of academic research and they have also been widely accepted by the industrial sector, as a means to support and facilitate threat analysis and risk assessment processes. The objective of GraMSec is to contribute to the development of well-founded graphical security models, efficient algorithms for their analysis, as well as methodologies and tools for their practical usage. PROGRAM 8:45 – 10:00 INVITED TALK Dr. Anoop Singhal, NIST Security Metrics and Risk Analysis for Enterprise Systems 10:00 – 10:35 BREAK (eclipse + coffee) 10:35 – 12:35 SESSION 1: Security Modeling 10:35 – 11:15 (regular paper) Dan Ionita, Margaret Ford, Alexandr Vasenev, and Roel Wieringa Graphical Modeling of Security Arguments: Current State and Future Directions 11:15 – 11:35 (short paper) Brian Ruttenberg, Dave Blumstein, Jeff Druce, Michael Howard, Fred Reed, Leslie Wilfong, Crystal Lister, Steve Gaskin, Meaghan Foley, and Dan Scofield Probabilistic Modeling of Insider Threat Detection Systems 11:35 – 12:15 (regular paper) Angèle Bossuat and Barbara Kordy Evil Twins: Handling Repetitions in Attack–Defense Trees - A Survival Guide 12:15 – 12:35 (short paper) Letitia Li, Florian Lugou, and Ludovic Apvrille Security Modeling for Embedded System Design 12:40 – 14:00 LUNCH 14:00 – 15:40 SESSION 2: Risk Analysis 14:00 – 14:40 (regular paper) Karin Bernsmed, Christian Frøystad, Per Håkon Meland, Dag Atle Nesheim, and Ørnulf Jan Rødseth Visualizing Cyber Security Risks with Bow-Tie Diagrams 14:40 – 15:20 (regular paper) Aitor Couce-Vieira, Siv Hilde Houmb, and David Ríos-Insua CSIRA: A Method for Analysing the Risk of Cybersecurity Incidents 15:20 – 15:40 (short paper) Ryan Habibi, Jens Weber, and Morgan Price Circle of Health Based Access Control for Personal Health Information Systems 15:40 – 16:10 BREAK 16:10 – 17:10 SESSION 3: Attack Trees 16:10 – 16:50 (regular paper) Peter Gjøl Jensen, Axel Legay, Kim Guldstrand Larsen, and Danny Bøgsted Poulsen Quantitative Evaluation of Attack Defense Trees using Stochastic Timed Automata 16:50 – 17:10 (short paper) Olga Gadyatskaya and Rolando Trujillo-Rasua New Directions in Attack Tree Research: Catching up with Industrial Needs GraMSec REGISTRATION IS NOW OPEN To register please follow the instructions given at http://www.gramsec.uni.lu/registration.php If you need a visa support letter, please check http://csf2017.tecnico.ulisboa.pt/visa.html GENERAL CHAIR Sjouke Mauw, University of Luxembourg, Luxembourg PROGRAM COMMITTEE CO-CHAIRS Ketil Stølen, SINTEF Digital and University of Oslo, Norway Peng Liu, Pennsylvania State University, USA CONTACT For inquiries please send an e-mail to gramsec17(a)easychair.org

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The 2017 ICDM Workshop on Data Science and Big Data Analytics (DSBDA 2017)
by ICT DataScience 04 Aug '17

04 Aug '17

The 5th ICDM Workshop on Data Science and Big Data Analytics (DSBDA 2017) [http://www.bigdatalab.ac.cn/~dsbda/2017/] In conjunction with The IEEE International Conference on Data Mining (ICDM 2017) [http://icdm2017.bigke.org/] New Orleans, USA · November 18, 2017 Introduction ================ Due to the rapid development of IT technology including Internet, Cloud Computing, Mobile Computing, and Internet of Things, as well as the consequent decrease of cost on collecting and storing data, big data has been generated from almost every industry and sector as well as governmental department. The volume of big data often grows exponentially or even in rates that overwhelm the well-known Moore’s Law. Meanwhile, big data has been extended from traditional structured data into semi-structured and completely unstructured data of various types, such as text, image, audio, video, click streams, log files, etc. It is no doubt that big data can offer us unprecedented opportunities. However, it also poses many grand challenges. Due to the massive volume and inherent complexity, it is extremely difficult to store, aggregate, manage, and analyze big data and finally mine valuable information/knowledge from the complex data/information networks. Therefore, in the presence of big data, the theories, models, algorithms and methods of traditional data related fields, such as, data mining, data engineering, machine learning, statistical learning, computer programming, pattern recognition and learning, visualization, uncertainty modeling, and high performance computing etc., become no longer effective and efficient. On the other hand, some data is generated exponentially or super-exponentially in a streaming manner. Therefore, how to delicately analyze and deeply understand big data so as to obtain dynamical and incremental information / knowledge, is a grand challenge. In general, at the era of big data, it is expected to develop new theories, models, algorithms, methods, and paradigms for mining, analyzing, and understanding big data, and even a new inter-discipline, Data Science, for studying the perception, acquisition, transportation, storage, management, analysis, visualization, and applications of big data, and finally implement the transformation from data to knowledge. DSBDA 2017 aims to provide a networking venue that will bring together scientists, researchers, professionals, and practitioners from both industry and academia and from different disciplines (including computer science, social science, network science, etc.) to exchange ideas, discuss solutions, share experiences, promote collaborations, and report state-of-the-art research work on various aspects of data science and big data analytics. Topics ================ The topics of interest include, but are not limited to: * Data science and data analytics * Acquisition, representation, indexing, storage, and management of big data * Processing, pre-processing, and post-processing of big data * Models, algorithms, and methods for big data mining and understanding * Knowledge discovery and acquisition from big data * Visualizing analytics and organization for big data * Streaming data processing * Context data mining from big Web data * Social computing over big Web data * Industrial and scientific applications of big data * Tools for big data analytics Submissions ================ The page limit of workshop papers is 8 pages in the standard IEEE 2-column format (http://www.ieee.org/conferences_events/conferences/publishing/ templates.html), including the bibliography and any possible appendices. All papers must be formatted according to the IEEE Computer Society proceedings manuscript style, following IEEE ICDM 2017 submission guidelines available at http://icdm2017.bigke.org/. Papers should be submitted in PDF format, electronically, using the CyberChair submission system: https://wi-lab.com/cyberchair/2017/icdm17/scripts/submit. php?subarea=SP04&undisplay_detail=1&wh=/cyberchair/2017/ icdm17/scripts/ws_submit.php. Note that all accepted papers will be included in the IEEE ICDM 2017 Workshops Proceedings volume published by IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library. The workshop proceedings will be in a CD separated from the CD of the main conference. The CD is produced by IEEE Conference Publishing Services (CPS). Therefore, papers must not have been accepted for publication elsewhere or be under review for another workshop, conferences or journals. Important Dates ================ Submissions Due Date: August 7, 2017 Notifications of Acceptance: September 7, 2017 Camera-Ready Deadline: September 15, 2017 Workshop Date: November 18, 2017 Steering Committee =================== Prof. Benjamin W. Wah, Chinese University of Hong Kong, China Prof. Jinpeng Huai, Beihang University, China Prof. Xueqi Cheng, Institute of Computing Technology, Chinese Academy of Sciences, China Workshop Chairs ================ Dr. Xiaolong Jin Institute of Computing Technology, Chinese Academy of Sciences (CAS), China Email: jinxiaolong(a)ict.ac.cn Dr. Jiafeng Guo Institute of Computing Technology, Chinese Academy of Sciences (CAS), China Email: guojiafeng(a)ict.ac.cn Dr. Huewei Shen Institute of Computing Technology, Chinese Academy of Sciences (CAS), China Email: shenhuawei(a)ict.ac.cn

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[Deadline Extended] - BI 2017 - Call for Abstracts
by Yang 03 Aug '17

03 Aug '17

[Apologies if you receive this more than once] CALL FOR ABSTRACTS The 2017 International Conference on Brain Informatics (BI'17) "Investigating the Brain and Mind from Informatics Perspective" November 16-18, 2017, Beijing, China Homepage: http://bii.ia.ac.cn/bi-2017/ --------------------------------------- SUBMISSION DEADLINE: August 30, 2017 One-line submission: https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B --------------------------------------- *** INVITED SPEECHES *** 1. "Multimodal Modelling of Network Propagation of Neuropathology in Dementia" Alan Evans (McGill University, Canada) 2. "Neural Correlates of Word, Sentence and Story Comprehension" Tom Mitchell (Carnegie Mellon University, US) 3. "The Cognitive Neural Basis of Object Knowledge" Yanchao Bi (Beijing Normal University, China) 4. "Harnessing Large-Scale Data-Sharing to Drive Discovery and Bench-to-Bedside Translation in Traumatic Brain Injury and Spinal Cord Injury" Adam Ferguson (University of California San Francisco, US) 5. "Computational Psychophysiology Based Research Methodology for Mental Health" Bin Hu (Lanzhou University, China) 6. "Multiscale Gene Expression Signatures in the Mammalian Brain in Health and Disease" Michael Hawrylycz (Allen Institute for Brain Science, US) 7. "Machine Learning in Medical Imaging Analysis" Dinggang Shen (University of North Carolina at Chapel Hill, US) *** WORKSHOPS AND SPECIAL SESSIONS *** ++++++++++++++++++++++++++++++++++++++++++++ Abstract submission (TYPE II) is still open! ++++++++++++++++++++++++++++++++++++++++++++ To submit abstracts to workshops/special sessions, please visit http://bii.ia.ac.cn/bi-2017/workshops.htm # Workshop on Brain and Artificial Intelligence (BAI 2017) Organizers: Yi Zeng, Chinese Academy of Sciences, China Shuliang Wang, Beijing Institute of Technology, China # Workshop on Knowledge Representation: Brain and Machine (KRBM 2017) Organizers: Yanchao Bi, Beijing Normal University, China Yi Zeng, Chinese Academy of Sciences, China # Workshop on Affective, Psychological and Physiological Computing (APPC 2017) Organizers: Bin Hu, Lanzhou University, China Zhijun Yao, Lanzhou University, China Mi Li, Beijing University of Technology, China # Workshop on Big Data and Visualization for Brainsmatics (BDVB 2017) Organizers: Qingming Luo, Huazhong University of Science and Technology, China Anan LI, Huazhong University of Science and Technology, China # Workshop on Brain Big Data Based Wisdom Service (BBDBWS 2017) Organizer: Jiajin Huang, Beijing University of Technology, China # Workshop on Semantic Technology for eHealth (STeH 2017) Organizers: Jiao Li, Chinese Academy of Medical Sciences, China Zhisheng Huang, Vrije University Amsterdam, The Netherlands # Workshop on Big Data Neuroimaging Analytics for Brain and Mental Health (BDNABMH 2017) Organizer: Shouyi Wang, University of Texas at Arlington, USA # Workshop on Novel Methods of the Brain Imaging in the Clinical and Preclinical Neuroscience (NMBICPN 2017) Organizers: Vassiliy Tsytsarev, University of Maryland School of Medicine, USA Vicky Yamamoto, Keck School of Medicine of USC, USA Yan Li, University of Southern Queensland, Australia # The 1st International Workshop on Deep Learning in Brain MRI and Pathology Images (DLBMPI 2017) Organizers: Yan Xu, School of Biological Science and Medical Engineering, BUAA Eric Chang, Microsoft Research Asia # Workshop on Mesoscopic Brainformatics (MBAI 2017) Organizers: Dezhong Yao, University of Electronic Science and Technology of China, China Pedro A. Valdes-Sosa, University of Electronic Science and Technology of China, China Yong He, Beijing Normal University, China Li Dong, University of Electronic Science and Technology of China, China # Special Session on Brain Informatics in Neurogenetics (BIN 2017) Organizers: Hong Liang, Harbin Engineering University, China Lei Du, Northwestern Polytechnical University, China Li Shen, Indiana University School of Medicine, USA # Special Session on BigNeuron Project (BP 2017) Organizers: Zhi Zhou, Allen Institute for Brain Sciences, USA Min Liu, Hunan University, China ================================================== Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148) *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing IMPORTANT DATES : =========================== May 1, 2017: Submission deadline for full papers June 20, 2017: Notification of full paper acceptance July 20, 2017: Submission deadline for workshop/special-session papers August 30, 2017: Submission deadline for abstracts (TYPE-II) (for both main conference and workshops/special sessions) November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference ABSTRACT (TYPE-II) SUBMISSIONS : ================================= (Submission Deadline: August 30, 2017): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference." The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. ----------------------------------------------- One-line submission: https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B ----------------------------------------------- *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708) Accepted abstracts from the conference will be expanded and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. ORGANIZERS ========== General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng (Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Tielin Zhang (Chinese Academy of Sciences, China) Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** tielin.zhang(a)ia.ac.cn shouyiw(a)uta.edu yang(a)maebashi-it.org

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Research Fellow Position at NTU-Delta Corporate Lab
by Tan Rui (Asst Prof) 03 Aug '17

03 Aug '17

A Research Fellow position is immediately available at the Nanyang Technological University (NTU). This position is part of a corporate lab initiative involving NTU and Delta Electronics, a leading electronics manufacturing company. Successful candidate will conduct research to improve the resilience of industrial Cyber-Physical Systems and Internet of Things against dynamic environment conditions and cyber-attacks. The candidate should have obtained a PhD degree in computer science or computer engineering (or relevant disciplines) and demonstrated strong research ability by publications on prestigious venues in the areas of sensor networks, cyber-physical systems, and/or security. The candidate is expected to have good hands-on and programming skills. Knowledge and experiences with industrial systems are strong pluses. The candidate will work with a team of five researchers, multiple NTU faculty members and Delta engineers. The position will provide an excellent opportunity to perform both basic and translational research in close collaboration with industry. Other advantages of the position include: (1) stable multi-year fund subject to satisfactory performance, (2) various opportunities in Singapore's strategic cyber resilience research cluster, e.g., Temasek Fellowship (http://www3.ntu.edu.sg/trf/index_trf.html) (3) high-quality living and low tax rates in Singapore. Interested candidates can send CV with full publication list to Dr. Rui Tan at tanrui(a)ntu.edu.sg Project Overview: Computer systems that control physical environments like manufacturing processes, known as Cyber-Physical Systems (CPS), have transformed significantly. Due to device proliferation and large-scale connectivity, a variety of functionalities are now feasible in CPS. However, connectivity also means that these systems operate in unreliable open environments, and hence resiliency to faults (reliability), malfunctions (safety) and attacks (security) become important. This resiliency is fundamentally dependent on the resiliency of the cyber-infrastructure of CPS (communication network and computation nodes), which plays a central role of data delivery and execution of control. The objective of this project is to design a resilient cyber-infrastructure for such emerging CPS. The project will design and prototype a resilient cyber-infrastructure including hardware platforms, middleware solutions and communication protocols. The developed solutions are expected to be used in real industrial systems. ________________________________ 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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Final CFP - IEEE International Symposium on Parallel and Distributed Processing with Applications
by Peter Mueller 02 Aug '17

02 Aug '17

=============================================================================== Final Call for Papers for the 15th IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2017) =============================================================================== Paper Submission Deadline extended to August 15, 2017 (Firm Deadline) ***One of China Computer Federation (CCF) Class "C" Conferences*** Organizers: Guangzhou University, China Central South University, China Sponsors: IEEE, IEEE Computer Society and IEEE TCSC. Venue & Dates: Guangzhou, China, December 12-15, 2017 http://trust.gzhu.edu.cn/conference/ISPA2017/ Co-Located Conferences: (1) The 16th IEEE International Conference on Ubiquitous Computing and Communications (IEEE IUCC 2017) http://trust.gzhu.edu.cn/conference/IUCC2017/ (2) The 10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS 2017) http://trust.gzhu.edu.cn/conference/SpaCCS2017/ ------------------------------------------------------------------------------- Keynote Speeches Section You are welcome to attend 11+ Keynote Speeches Shared by Co-Located IEEE ISPA 2017 & IEEE IUCC 2017 & SpaCCS 2017 Conferences: http://trust.gzhu.edu.cn/conference/ISPA2017/KeynoteSpeeches.htm Keynote Speaker 1: Prof. Geoffrey Fox, Indiana University, USA (Fellow of APS (Physics) and Fellow of ACM (Computing)) https://www.soic.indiana.edu/all-people/profile.html?profile_id=203 Title: Next Generation Grid: Integrating Parallel and Distributed Computing Runtimes from Cloud to Edge Applications Keynote Speaker 2: Prof. Lajos Hanzo, University of Southampton, UK (Fellow of the Royal Academy of Engineering of UK, Fellow of the IEEE, Fellow of the IEE/IET) http://www-mobile.ecs.soton.ac.uk/newcomms/?q=people/lh Title: Quantum-Search Algorithms, Quantum Codes and All That... Keynote Speaker 3: Prof. Azzedine Boukerche, University of Ottawa, Canada (Fellow of the IEEE, Fellow of the Canadian Academy of Engineering, Fellow of the Engineering Institute of Canada, Fellow of the American Association for the Advancement of Science) http://www.site.uottawa.ca/~boukerch/ Title: Autonomous and Connected Vehicles: A New Challenge for Smart Cities Keynote Speaker 4: Prof. Jie Wu, Temple University, USA (IEEE Fellow) https://cis.temple.edu/~wu/ Title: Optimizing MapReduce Framework through Joint Scheduling of Overlapping Phases Keynote Speaker 5: Prof. Robert Deng, Singapore Management University, Singapore (IEEE Fellow) http://www.mysmu.edu/faculty/robertdeng/ Title: Privacy-Preserving Access Control and Computations of Encrypted Data in the Cloud Keynote Speaker 6: Prof. Ljiljana Trajkovic, Simon Fraser University, Canada (IEEE Fellow) http://www.ensc.sfu.ca/~ljilja Title: Data Mining and Machine Learning for Analysis of Network Traffic Keynote Speaker 7: Professor Kin K. Leung, Imperial College London, UK (IEEE Fellow) http://www.commsp.ee.ic.ac.uk/~kkleung/ Title: TBD. Keynote Speaker 8: Prof. Vijay Varadharajan, The University of Newcastle, Australia (FIEE, FBCS, FACS, FIEAust, FIMA) https://www.newcastle.edu.au/profile/vijay-varadharajan Title: Security Challenges in Software Defined Networks Policy based Security Architecture for Software Defined Networks Keynote Speaker 9: Prof. Hai Jin, Huazhong University of Science and Technology, China (Cheung Kung Scholars Chair Professor, Fellow of the CCF) http://www.linkedin.com/in/jinhust Title: Towards Dataflow-based Graph Accelerator Keynote Speaker 10: Prof. Jianhua Ma, Hosei University, Japan http://cis.k.hosei.ac.jp/~jianhua/mahome/ Title: TBD. Keynote Speaker 11: Prof. Jinjun Chen, Swinburne University of Technology, Australia http://www.swinflow.org/~jchen/ Title: Big Data - Big Application * More keynote speakers will be added later. ------------------------------------------------------------------------------- Special Issues Section Distinguished papers, after further revisions, will be published in 14+ SCI&EI indexed special issues (confirmed): (1) IEEE Transactions on Industrial Informatics (SCI&EI Indexed, Impact Factor: 4.79) http://tii.ieee-ies.org/ (2) IEEE Transactions on Emerging Topics in Computing (SCI&EI Indexed, Impact Factor: to appear soon) https://www.computer.org/web/tetc (3) IEEE Access (SCI&EI Indexed, Impact Factor: 1.270) http://ieeeaccess.ieee.org/ (4) Information Sciences - Elsevier (SCI&EI Indexed, Impact Factor: 3.364) http://www.journals.elsevier.com/information-sciences/ (5) Future Generation Computer Systems - Elsevier (SCI&EI Indexed, Impact Factor: 2.430) http://www.journals.elsevier.com/future-generation-computer-systems/ (6) Cluster Computing - Springer (SCI&EI Indexed, Impact Factor: 1.514) http://link.springer.com/journal/10586 (7) Multimedia Tools and Applications - Springer (SCI&EI Indexed, Impact Factor: 1.331) https://link.springer.com/journal/11042 (8) Journal of Parallel and Distributed Computing - Elsevier (SCI&EI Indexed, Impact Factor: 1.320) http://www.journals.elsevier.com/journal-of-parallel-and-distributed-comput… (9) Concurrency and Computation: Practice and Experience - Wiley (SCI&EI Indexed, Impact Factor: 0.94) http://www.cc-pe.net/journalinfo/ (10) Security and Communication Networks - Hindawi (SCI&EI Indexed, Impact Factor: 0.806) https://www.hindawi.com/journals/scn/ (11) Future Internet - MDPI (ESCI & EI Indexed) http://www.mdpi.com/journal/futureinternet (12) International Journal of Computational Science and Engineering (IJCSE) - INDERSCIENCE (ESCI & EI Indexed) http://www.inderscience.com/jhome.php?jcode=IJCSE (13) International Journal of Embedded Systems (IJES) - INDERSCIENCE (EI Indexed) http://www.inderscience.com/jhome.php?jcode=IJES (14) International Journal of High Performance Computing and Networking (IJHPCN) - INDERSCIENCE (EI Indexed) http://www.inderscience.com/jhome.php?jcode=ijhpcn * More special issues will be added later. ------------------------------------------------------------------------------- Introduction: The IEEE ISPA 2017 (15th 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 15th IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2016 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA 2017 is sponsored by the IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE Computer Society. IEEE ISPA 2017 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 Interests (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 and Publication Information: All papers need to be submitted electronically through the conference website (https://easychair.org/conferences/?conf=ispa2017) with PDF format. Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Papers must be clearly presented in English, must not exceed 8 pages (or up to 12 pages with the pages over length charge), including tables, figures, references and appendixes, in IEEE Computer Society proceedings Format ( http://www.ieee.org/conferences_events/conferences/publishing/templates.html ) with Portable Document Format (.pdf). Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. Accepted and presented papers will be included in the IEEE CPS Proceedings. Distinguished papers presented at the conference, after further revision, will be recommended to high quality international journals. Important Dates: Paper Submission Deadline: August 15, 2017 (Extended Firm Deadline) Author Notification: September 15, 2017 Camera-Ready Paper Due: October 15, 2017 Conference Dates: December 12-15, 2017 General Chairs: Qinghua Zheng, Xi'an Jiaotong University, China Albert Zomaya, University of Sydney, Australia Azzedine Boukerche, University of Ottawa, Canada Program Chairs: Geoffrey Fox, Indiana University, USA Gregorio Martinez, University of Murcia, Spain Guojun Wang, Guangzhou University, China Program Vice Chairs: (1) Systems and Architectures Track Jinjun Chen, University of Technology Sydney (UTS), Australia Qing Yang, Montana State University, USA (2) Technologies and Tools Track Julien Bourgeois, Universit¨¦ de Franche-Comt¨¦, France Gang Pan, Zhejiang University, China (3) Applications Track Javid Taheri, Karlstad University, Sweden Weigang Li, University of Brasilia, Brazil Steering Chairs: Minyi Guo, Shanghai Jiao Tong University, China Laurence T. Yang, St. Francis Xavier University, Canada Program Committee Members Please check the conference website for detail. Workshop Chairs Karl Andersson, Lulea University of Technology, Sweden Habib M. Ammari, Norfolk State University, USA Shui Yu, Deakin University, Australia Andy Li, University of Florida, USA Publicity Chairs: Peter Mueller, IBM Zurich Research Laboratory, Switzerland Mianxiong Dong, Muroran Institute of Technology, Japan Wenbin Jiang, Huazhong University of Science and Technology, China Publication Chair: Fang Qi, Central South University, China Registration Chair: Pin Liu, Central South University, China Organizing Chairs: Dongqing Xie, Guangzhou University, China Shuhong Chen, Guangzhou University, China Xiaofei Xing, Guangzhou University, China Webmaster: Dacheng Meng, Central South University, China Contact: Please email inquiries concerning IEEE ISPA 2017 to: Prof. Guojun Wang: csgjwang AT gmail DOT com and the conference organizers (ISPA2017Guangzhou AT gmail DOT com). Prof. Guojun Wang's Homepage: http://trust.gzhu.edu.cn/faculty/~csgjwang/ -------------------------------------------------------------------------------

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Machine Learning positions and PhD studentships available now
by Peter Bentley 31 Jul '17

31 Jul '17

FULL-TIME POSITIONS, PHD STUDENTSHIPS, & CONSULTANCY OPPORTUNITIES AT BRAINTREE LTD, LONDON, UK Braintree is looking to hire exceptional talent in machine learning immediately. The company encourages imaginative applicants who may wish a career in the development of innovative AI solutions. We have opportunities for: Data Scientists and Software Developers ======================================= You will join a dynamic team of developers and researchers who are leading the way in applied machine learning. You have the opportunity to tackle real problems and build systems in a range of domains, including: 1. retail (clustering/customer segmentation in large datasets) 2. fault prediction (large-scale multi variate analysis in time series data) 3. semantic networks of research papers (text/concept mining) 4. graph-native machine learning tools Essential qualifications and skills: + Degree in machine learning or related discipline (MSc and PhD preferred). + JAVA / C / Python to high standard + Quick learner + Good communication + Creative, independent, motivated, proactive + Experienced in machine learning Good to have experience in one or more of: + Statistical analysis of large datasets + Machine learning for big data + Neural networks, genetic algorithms, deep learning + Clustering (K-Means, SOM) + Natural language processing (Text mining) + Graph database (Neo4j) + Novel hardware, optimised architectures + User interface design Senior and junior positions available now. To apply, send your CV to p.bentley(a)cs.ucl.ac.uk or p.bentley(a)braintree.com, with Subject: Braintree Job Enquiry PhD Studentships ================ Braintree is offering full UK/EU funding for 3 PhD students in machine learning. Applicants should meet the entry requirements for UCL CS PhD programmes. Projects are available in the following areas: + graph-native machine learning + parallel architectures / optimised hardware for machine learning + analysis/visualisation of massive graphs + agent-based modelling + novel machine learning algorithm development + affective computing / social robots (other topics may be considered) Candidates must hold or expect to hold a UK first or upper second class honours degree, or equivalent qualification, in a discipline relevant to the project. Candidates will normally have relevant research experience gained through their Bachelor’s degree course, a Masters or work experience. At least two satisfactory academic or relevant work placement/employment references will be required. Students in receipt of a studentship offer will need to provide acceptable proof of legal right to study in the UK and satisfy the current requirements of UK Visa and Immigration. The offer of a Braintree studentship does not automatically confer an offer by UCL, whose application process must be followed in full. To apply, send your CV to p.bentley(a)cs.ucl.ac.uk or p.bentley(a)braintree.com, with Subject: Braintree PhD Studentship Enquiry Consultancy =========== Braintree needs expertise from world-class brains. If you are currently a PhD student, a postdoc researcher, or a member of academic staff, and you wish to have a side income by helping industry with their machine learning problems, Braintree will pay for your time as a consultant. If you can spare a couple of hours a week or a couple of days a month, you will also gain valuable real-world experience and make great contacts. Roles may optionally include travel to Europe, all expenses paid. We need consultants who have expertise in one or more of: + Machine learning for big data + Neural networks, genetic algorithms, deep learning + Natural language processing, Text Mining + Data architectures + Data Modelling for Graph databases (Neo4j) + Networking, server specification and setup + Large scale system architectures Applicants must be able to demonstrate expertise in their area with at least three recent publications in recognised international conferences or journals, and/or have more than 5 years work experience in a recognised centre of excellence. To apply, send your CV to p.bentley(a)cs.ucl.ac.uk or p.bentley(a)braintree.com, with Subject: Braintree Consultancy Enquiry ABOUT BRAINTREE LTD: ================== Braintree Ltd www.braintree.com <http://www.braintree.com/> is a Research and Development AI company based at 7 Gower St, London, UK (across the road from UCL). First created in 2002, it offers machine learning, optimisation, and analytics solutions to large multi-national organisations including governments, retailers, and the manufacturing industry. Since 2016, UCL researcher Peter Bentley has been CTO and Director of Braintree, bringing his UCL CS PhD students into the company, and forming close ties with UCL CS. Braintree has several contracts with industry and has just been awarded an Innovate UK grant to work with UCL CS on graph-based machine learning. The company has a culture of nurturing talent, encouraging personal growth, and allowing freedom for imaginative and creative problem-solvers. Come and join us!

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CFP: Special Issue on 'Software Defined Networking and Network Function Virtualization' in Scalable Computing and Communications (Springer)
by Javid Taheri 31 Jul '17

31 Jul '17

--------------------------------------------------------------------------------- Please accept our apologies if you receive multiple copies of this CFP --------------------------------------------------------------------------------- CALL FOR PAPERS Scalable Computing and Communications ~Special Issue Call for Papers~ Software Defined Networking and Network Function Virtualization IMPORTANT DATES: - Submission Deadline: 15 Dec 2017 - Notification of Acceptance: 31 March 2018 - Final Version: 31 May 2018 INTRODUCTION AND MOTIVATION With maturity of virtualization techniques, more and more services are to be run inside virtualized Data Centers vDCs) to further reduce Operational (OPEX) and Capital Expenditures (CAPEX). Aligned with the general trend of migrating traditional IT architectures to clouds (public or private), next generation of telecommunication networks such as 5G are also envisaged to be run on virtualized environments where network functions are deployed on virtual machines and/or containers instead of current proprietary equipment. Several proof-of-concept and initial industrial deployments proved that Software Defined Networking (SDN) and Network Function Virtualization (NFV) are two promising technologies to enable such technological shift. Nevertheless, how to optimize and guarantee the performance of such virtualized systems is still challenging, because they require accurate modelling and efficient optimization to satisfy ever increasing demand of future networks. To address several major issues raised by migrating network applications to virtualized infrastructures, this special issue aims to highlight challenges, state-of-the-art, and solutions to a set of currently unresolved key questions including, but not limited to: performance, modelling, optimizations, reliability, security, and techno-economic aspects of virtualized networks. By addressing these concerns, technology might be one step closer to understanding, and consequently, closing the gap between the performance of the next generation SDN/NFV-based networks and their current counterparts in proprietary boxes. In this special issue, we welcome contributions that can shed light onto any of the following questions: 1. How virtualized networks should be designed to guarantee the performance required by network operations? 2. How virtualized services can be benchmarked and/or compared? 3. How virtualized services should be designed and/or operated to take advantage of cloud infrastructures and further provide flexibilities (such as load migration) that current proprietary equipment cannot provide? 4. How network functions should be placed and/or network capacities should be sliced to optimize network critical metrics such as throughput, delay, jitter, etc.? 5. How virtualized services should/can be efficiently orchestrated, monitored, and managed? PAPER SUBMISSION: - Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals. - All papers will be reviewed following standard reviewing procedures for the Journal. - Papers must be prepared in accordance with the Journal guidelines: www.springer.com/41122 - Submit manuscripts to: http://SCAC.edmgr.com. Topics to be covered in this Special Issue are including, but not limited to: 1. Model, benchmark, and/or optimize operation of SDN/NFV-based networks and services. 2. Resource and/or content allocation for SDN/NFV-based networks and services. 3. Reliability and resiliency of SDN/NFV-based networks and services. 4. Dynamic/flexible construction and deployment of Service Function Chains using SDN/NFV technologies. 5. Fault detection and/or correction for SDN/NFV-based networks and services. 6. Architectures, applications, and use cases of SDN/NFV to provide networking services. 7. Monitoring techniques for SDN/NFV-based networks and services. 8. Deployment, management, and orchestration of SDN/NFV-based networks and services. 9. Business/economic aspects of SDN/NFV-based networks and services. 10. Security concerns of SDN/NFV-based networks and services. 11. Mobile and/or Wireless Networks enabled by SDN/NFV-based networks and services.

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CFP: 3rd Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC 2017) at SC17: Extended abstracts due Sept. 1
by Jason D. Bakos 29 Jul '17

29 Jul '17

========================================================================== ** Call for Papers ** ========================================================================== Third International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC 2017) Held in conjunction with Supercomputing 2017 Friday Morning, November 17, 2017 Denver, CO http://h2rc.cse.sc.edu ========================================================================== Submission Deadline: September 1, 2017 (one page extended abstracts) ========================================================================== As conventional von-Neumann architectures are suffering from rising power densities, we are facing an era with power, energy efficiency, and cooling as first-class constraints for scalable HPC. FPGAs can tailor the hardware to the application, avoiding overheads and achieving higher hardware efficiency than general-purpose architectures. Leading FPGA manufacturers have recently made a concerted effort to provide a range of higher-level, easier to use high-level programming models for FPGAs. Such initiatives are already stimulating new interest within the HPC community around the potential advantages of FPGAs over other architectures. With this in mind, this workshop, now in its third year, brings together HPC and heterogeneous-computing researchers to demonstrate and share experiences on legacy and new high-level programming models, optimizations specific to scientific computing and data analytics, tools for performance/energy improvements, FPGA computing in the cloud, and popular applications for reconfigurable computing such as machine learning and big data. ========================================================================== Submissions (one page extended abstract): Submissions are solicited that explore the state of the art in the use of FPGAs in heterogeneous high-performance computing architectures and, at a system level, in data centers and supercomputers. FPGAs may be considered from either or both the distributed, parallel and composable fabric of compute elements or from their dynamic reconfigurability. We particularly encourage submissions which focus on the mapping of algorithms and applications to heterogeneous FPGA-based systems as well as the overall impact of such architectures on the compute capacity, cost, power efficiency, and overall computational capabilities of data centers and supercomputers. Submissions may report on theoretical or applied research, implementation case studies, benchmarks, standards, or any other area that promises to make a significant contribution to our understanding of heterogeneous high-performance reconfigurable computing and will help to shape future research and implementations in this domain. A non-comprehensive list of potential topics of interest is given below: 1. FPGAs in Supercomputer, Cloud and Data Center: FPGAs in relation to challenges to Cloud/Data Center/Supercomputing posed by the end of Dennard scaling 2. Supercomputing, Cloud and Data Center Applications: Exploiting FPGA compute fabric to implement critical cloud/HPC applications 3. Leveraging Reconfigurability: Using reconfigurability for new approaches to algorithms used in cloud/HPC applications 4. Benchmarks: Compute performance and/or power and cost efficiency for cloud/HPC with heterogeneous architectures using FPGAs 5. Implementation Studies: Heterogenous Hardware and Management Infrastructure 6. Programming Languages/Runtimes/OS/Tools/Frameworks for Heterogeneous High Performance Reconfigurable Computing 7. Future-gazing: New Applications/The Cloud Enabled by Heterogeneous High Performance Reconfigurable Computing, Evolution of Computer Architecture in relation to Heterogeneous High Performance Reconfigurable Computing 8. Community building: Standards, consortium activity, open source, education, initiatives to enable and grow Heterogeneous High Performance Reconfigurable Computing Prospective authors are invited to submit original and unpublished contributions as a ONE PAGE EXTENDED ABSTRACT in ACM SIG Proceedings format. ========================================================================== You can submit your contribution(s) through a link on the H2RC website: http://h2rc.cse.sc.edu ========================================================================== Important dates: Submission Deadline: September 1, 2017 Acceptance Notification: October 15, 2017 Camera-ready Manuscripts Due: November 4, 2017 Workshop Date: November 17, 2017 ========================================================================== Workshop Format: H2RC is a half-day Friday workshop. It will be comprised of Keynote and invited talks and talks selected from paper submissions. ========================================================================== Organizing Committee: Workshop Organizers: Michaela Blott, Xilinx Franck Cappello, Argonne National Lab Torsten Hoefler, ETH Zurich Jason D. Bakos, University of South Carolina Program Committee: Rizwan Ashraf, Oak Ridge National Laboratory Paul Chow, University of Toronto Carl Ebeling, Altera Hans Eberle, NVIDIA Alan George, University of Florida Christoph Hagleitner, IBM Miriam Leeser, Northeastern University Viktor Prasanna, Univ. of Southern California Marco Santambrogio, Politecnico Di Milano Jeffrey Vetter, Oak Ridge National Lab -- Jason D. Bakos, Ph.D. Professor Dept. of Computer Science and Engineering Univ. of South Carolina 301 Main St., Suite 3A01L Columbia, SC 29208 803-777-8627 (voice), 803-777-3767 (fax) http://www.cse.sc.edu/~jbakos jbakos(a)cse.sc.edu

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[Deadline extended to Aug. 13] - CFP: 12th Workflows in Support of Large-Scale Science (WORKS) Workshop
by Ilia Pietri 28 Jul '17

28 Jul '17

********** WORKS 2017 Workshop ********** Workflows in Support of Large-Scale Science Workshop http://works.cs.cardiff.ac.uk/ Monday 13 November 2017, Denver, Colorado, USA. Held in conjunction with SC17, http://sc17.supercomputing.org/ Paper submission deadline: 13 August 2017 ***************************************** Call For Papers Data-intensive workflows (a.k.a. scientific workflows) are routinely used in most scientific disciplines today, especially in the context of high-performance, parallel and distributed computing. They provide a systematic way of describing a complex scientific process and rely on sophisticated workflow management systems to execute on a variety of parallel and distributed resources. With the dramatic increase of raw data volume in every domain, they play an even more critical role to assist scientists in organizing and processing their data and to leverage HPC or HTC resources, being at the interface between end-users and computing infrastructures. This workshop focuses on the many facets of data-intensive workflow management systems, ranging from actual execution to service management and the coordination and optimization of data, service and job dependencies. The workshop covers a broad range of issues in the scientific workflow lifecycle that include: data-intensive workflows representation and enactment; designing workflow composition interfaces; workflow mapping techniques to optimize the execution of the workflow for different infrastructures; workflow enactment engines that need to deal with failures in the application and execution environment; and a number of computer science problems related to scientific workflows such as semantic technologies, compiler methods, scheduling and fault detection and tolerance. The topics of the workshop include but are not limited to: Big Data analytics workflows Data-driven workflow processing (including stream-based workflows) Workflow composition, tools, and languages Workflow execution in distributed environments (including HPC, clouds, and grids) Reproducible computational research using workflows Dynamic data dependent workflow systems solutions Exascale computing with workflows Workflow fault-tolerance and recovery techniques Workflow user environments, including portals Workflow applications and their requirements Adaptive workflows Workflow optimizations (including scheduling and energy efficiency) Performance analysis of workflows Workflow debugging Workflow provenance Interactive workflows (including workflow steering) ***************************************** Important Dates Papers Due: 13 August 2017 (EXTENDED) Notifications of Acceptance: 9 September 2017 E-copyright registration completed by authors: 1 October 2017 Final Papers Due: 1 October 2017 Submitted papers must be at most 10 pages long. The proceedings should be formatted according to http://www.acm.org/publications/proceedings-template. WORKS papers will be published in collaboration with SIGHPC and will be available from both ACM and IEEE digital repositories. ***************************************** WORKS 2017 Organizing Committee – PC Chairs Sandra Gesing, University of Notre Dame, USA Rizos Sakellariou, University of Manchester, UK – General Chairs Johan Montagnat, CNRS, Sophia Antipolis, France Ian Taylor, Cardiff University, UK and University of Notre Dame, USA – Steering Committee David Abramson, University of Queensland, Australia Malcolm Atkinson, University of Edinburgh, UK Ewa Deelman, University of Southern California, USA Michela Taufer, University of Delaware, USA – Publicity Chairs Rafael Ferreira da Silva, USC, USA Ilia Pietri, University of Athens, Greece ***************************************** WORKS 2017 Program Committee Pinar Alper, King's College London, UK Ilkay Altintas, San Diego Supercomputer Center, USA Khalid Belhajjame, Université Paris-Dauphine, France Adam Belloum, University of Amsterdam, the Netherlands Ivona Brandic, TU Wien, Austria Kris Bubendorfer, Victoria University of Wellington, New Zealand Jesus Carretero, Universidad Carlos III de Madrid, Spain Henri Casanova, University of Hawaii at Manoa, USA Ewa Deelman, USC Information Sciences Institute, USA Rafael Ferreira Da Silva, USC Information Sciences Institute, USA Daniel Garijo, USC Information Sciences Institute, USA Sandra Gesing, University of Notre Dame, USA Tristan Glatard, CNRS, France Daniel Katz, University of Illinois Urbana-Champaign, USA Tamas Kiss, University of Westminster, UK Dagmar Krefting, HTW Berlin, Germany Maciej Malawski, AGH University of Science and Technology, Poland Anirban Mandal, Renaissance Computing Institute, USA Marta Mattoso, Federal Univ. Rio de Janeiro, Brazil Andrew Stephen Mcgough, Newcastle University, UK Paolo Missier, Newcastle University, UK Jarek Nabrzyski, University of Notre Dame, USA Daniel de Oliveira, Fluminense Federal University, Brazil Ilia Pietri, University of Athens, Greece Radu Prodan, University of Innsbruck, Austria Omer Rana, Cardiff University, UK Ivan Rodero, Rutgers University, USA Rizos Sakellariou, University of Manchester, UK Domenico Talia, University of Calabria, Italy Rafael Tolosana-Calasanz, Universidad de Zaragoza, Spain Chase Wu, New Jersey Institute of Technology, USA

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