- computational.science - lists.iccsa.org

New PhD in AI/Machine Learning in a life-saving application
by Madden, Michael 04 Jun '17

04 Jun '17

Hello all; I would be grateful if you could bring this to the attention of relevant students. A new PhD position is available in the Data Mining & Machine Learning Research Group, led by Dr Michael Madden in the National University of Ireland Galway. The successful candidate will join the Data Mining & Machine Learning Group and contribute to a new research project, ROCSAFE (see below) funded by the European Union’s Horizon 2020 Programme. The research is likely to involve one of: (1) advances in temporal Bayesian reasoning for decision support; (2) routing of autonomous vehicles for optimal collection of multi-resolution image and sensor data; (3) context-aware decision support driven by sensor data analytics. The successful candidate will receive a tax-free scholarship of €18,000 per year, with fees also paid and additional funding available for research-related travel. This is an excellent opportunity to combine research with software development, working in a flexible and stimulating research environment, while collaborating with academic and industrial partners across Europe, with occasional travel to meet partners and to attend research conferences. Candidates must have a strong honours bachelor degree (equivalent to H1) in Computer Science, Software Engineering, Mathematics, or a similar discipline, and preferably a relevant MSc degree also. Candidates must have excellent mathematical ability, strong software development skills, great communication skills, and a strong interest in research. Preferably, candidates should demonstrate prior experience in data mining and machine learning. Expected Start Date: 1 Oct 2016 or as soon as possible after. This position will remain open until filled, but first consideration will be given to those received by 20 September 2016. Further information and how to apply: http://datamining.it.nuigalway.ie/index.php/?option=com_content&view=articl… About the project: ROCSAFE (Remotely Operated CBRNe Scene Assessment & Forensic Examination) has recently been funded by the European Union’s Horizon 2020 programme. Led by Dr Michael Madden in NUI Galway, it will make advances in autonomous robotics, probabilistic reasoning, intelligent decision support, and miniaturised sensors, all of which will work together to gather forensic evidence in the event of a chemical, biological, radiation/nuclear or explosive (CBRNe) incident. ROCSAFE’s overall goal is to fundamentally change how CBRNe events are assessed, and ensure the safety of crime scene investigators, by reducing the need for them to enter dangerous scenes to gather evidence. There are 13 partners in total involved in the project across Ireland, Italy, Portugal, Spain and Germany, along with a further group of advisory board members. There is more information at http://www.nuigalway.ie/remoteforensics/. Regards, Michael. -- Dr Michael Madden Head of Data Mining & Machine Learning Group National University of Ireland, Galway +353-91-493797 / +353-86-7952802 http://datamining.it.nuigalway.ie/

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

04 Jun '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&u… . 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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[Brain Informatics 2017] - Call for Abstracts
by Yang 02 Jun '17

02 Jun '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: July 20, 2017 One-line submission: https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B --------------------------------------- *** KEYNOTE SPEAKERS *** Alan Evans (McGill University, Canada) Tom Mitchell (Carnegie Mellon University, US) Yanchao Bi (Beijing Normal University, China) Adam Ferguson (University of California San Francisco, US) Bin Hu (Lanzhou University, China) Michael Hawrylycz (Allen Institute for Brain Science, US) Dinggang Shen (University of North Carolina at Chapel Hill, US) *** WORKSHOPS AND SPECIAL SESSIONS *** (Full paper / abstract submission for worshop / special session is still open, please see http://bii.ia.ac.cn/bi-2017/workshops.htm for more information) # 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 # 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 June 20, 2017: Submission deadline for workshop/special-session papers June 30, 2017: Notification of workshop/special-session paper acceptance July 20, 2017: Submission deadline for abstracts July 30, 2017: Notification of abstract acceptance November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference ABSTRACT (TYPE-II) SUBMISSIONS : ================================= (Submission Deadline: July 20, 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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Call for Papers: 8th International Green and Sustainable Computing Conference (IGSC’17)
by Ishan Thakkar 02 Jun '17

02 Jun '17

DEADLINE IS APPROACHING: THE Eighth International Green and Sustainable Computing Conference (IGSC’17) ================================================================================================ www.green-conf.org October 23-25 2017, Orlando, Florida IGSC’17 will provide a forum for presenting and discussing innovative research on a broad range of topics in the fields of sustainable and energy-efficient computing and computing for a more sustainable planet. The conference will consist of technical papers, panels, workshops, PhD Forum, and tutorials on these topics. IGSC’17 will be technically co-sponsored by the IEEE. Topics of interest include, but are not limited to: Green Computing ----------------- - Power- and thermal-aware algorithms, software and hardware - Low-power electronics and systems - Power-efficient multi/many-core chip design - Application-specific ASICs and FPGAs - Sensing and monitoring - Power and thermal behavior and control - Data centers optimization - Smart grid and microgrids - Power-efficient delivery and cooling - Reliability, life-cycle analysis of IT equipment Computing for Sustainability ----------------------------- - Renewable energy models and prediction - Matching energy supply and demand - Smart transportation and electric vehicles - Smart buildings and urban computing - Energy harvesting, storage, and recycling - Climate and ecosystem monitoring - IT solutions for water quality, air pollution, and sustainable agriculture - Computational models for epidemics, infectious diseases, and human well-being - Computational methods for sustainable economy and society Paper submission guidelines ---------------------------------- IGSC’17 welcomes submissions that have not been published and that are not under review by other conferences or journals. All submissions will be evaluated on their originality, technical soundness, significance, presentation, and interest to the conference attendees. Please refer to the IGSC website (www.green-conf.org) for specific instructions related to paper submission. Best paper award and journal publication ------------------------------------------ The Technical Committee will select the best contributions to be extended and considered by the Elsevier Journal on Sustainable Computing. Workshops and special sessions --------------------------------- Proposals are solicited for workshops and special sessions to be held in conjunction with the conference. Proposals should be submitted to the Workshops and Special Sessions Chair (iahmad(a)cse.uta.edu) Ph.D. forum ------------ Submissions are solicited for a Ph.D. forum, from doctoral students engaged in research on sustainable and energy-efficient computing. Please refer to the IGSC website for specific instructions for extended abstract submission. Important dates ----------------- Deadline for submitting Workshop and Special Session proposals: May 15, 2017 Deadline for submitting Ph.D. forum extended abstracts: June 16, 2017 Paper submission: June 16, 2017 Notifications sent to authors: July 17, 2017 Camera-ready papers due: Aug 5, 2017 Organization -------------- Steering Committee Chairs: Ishfaq Ahmad (University of Texas, Arlington, USA), iahmad(a)cse.uta.edu Behrooz Shirazi (Washington State University, USA), shirazi(a)wsu.edu General Chair: Weisong Shi (Wayne State University, USA), weisong(a)wayne.edu Tech. Program Chair: Sudeep Pasricha (Colorado State University, USA), sudeep(a)colostate.edu Workshop Chair: Ishfaq Ahmad (University of Texas, Arlington, USA), iahmad(a)cse.uta.edu PhD Forum Chair: Mahdi Nikdast (Polytechnique Montréal, Canada), mahdi.nikdast(a)polymtl.ca Publicity Chair: Ishan Thakkar (Colorado State University, USA), ishan9it(a)rams.colostate.edu

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Call for Papers: WS on Quantum Communications and Information Technology (QCIT’17)
by Peter Mueller 01 Jun '17

01 Jun '17

CALL FOR PAPERS ----------------------------------------------------------- Third Workshop on Quantum Communications and Information Technology (QCIT’17) ----------------------------------------------------------- http://qcit.committees.comsoc.org/qcit17-workshop/ At IEEE Globecom’17, Singapore, 4-8 December 2017 http://globecom2017.ieee-globecom.org The scope of this dedicated workshop is to explore the opportunities for application of communications theory and technologies to quantum technology and its applications. The workshop is the annual main event of ComSoc’s Emerging Technical Committee on Quantum Communications and Information Technology (ETC-QCIT). Over the last decade, a wide variety of experimental quantum communications and processing devices has been invented and used for fundamental demonstrations in laboratories. Results confirm feasibility of real applications in quantum communications and information related fields. Recently one can observe upcoming applications in areas like a quantum communications, quantum sensors and random number generators which are partially even commercially available. Companies and governments started to spend significant amounts of funding in research and development of quantum technologies. However, the step from quantum technology based devices to real systems running a communications or information processing task has not completed yet. Moreover, many problems show opportunities to contribute with knowhow, technologies and engineering out of the communications area. The following topics are crucial to the development of future quantum technology based systems: - Algorithms and applications complexity - Analysis of classical vs quantum software - Coding theory - Communications and information theory - Devices and circuits - Entanglement distillation - Error correction - Experimental results and demonstrations - Interconnection and complexity theory - Metrology for quantum systems - Modeling and simulation - Network coding - Photonic communications technology - Processing and systems architecture - Quantum electro-dynamics - Quantum information theory - Quantum key distribution - Quantum sensors - Quantum algorithms and applications - Remote state preparation - RF based programming and algorithms - RF technology and control - Signal processing for quantum control It is the aim of this workshop to connect people from academia and industry to discuss about theory, technology and applications and exchange ideas to move efficiently forward in research, engineering and development of this exciting area. Submission info for camera-ready manuscripts -------------------------------------------- Original and unpublished regular papers are solicited from the above-mentioned areas. Regular papers have a length of 4 to 6 pages with an optional payable 7th page. All manuscripts will be peer reviewed and published in the workshop proceedings and after presentation in IEEE Xplore. Templates for the manuscripts can be downloaded from: http://www.ieee.org/conferences_events/conferences/publishing/templates.html The formatted manuscript should be electronically submitted as pdf via EDAS: https://edas.info/newPaper.php?c=23835 Further information is available in the Globecom 2017 webpages: http://globecom2017.ieee-globecom.org Important dates --------------- Manuscript submission due date: 1. July, 2017 Notification date: 1. September, 2017 Final manuscript due date: 1. October, 2017 Conference date: 4.-8. December, 2017 Workshop organizers ------------------- Andrea Conti, University of Ferrara, Italy, a.conti(a)ieee.org Lajos Hanzo, University of Southampton, United Kingdom, lh(a)ecs.soton.ac.uk Peter Mueller, IBM Research Zurich Laboratory, Switzerland, pmu(a)zurich.ibm.com Michael Ng, University of Southampton, United Kingdom, sxn(a)ecs.soton.ac.uk

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Extension of OpenMPCon submission deadline
by Matthijs van Waveren 01 Jun '17

01 Jun '17

<http://us4.campaign-archive1.com/?e=&u=2cbbeac1cf1adba6fb39190d5&id=ad7c9cb…> View this email in your browser <https://gallery.mailchimp.com/2cbbeac1cf1adba6fb39190d5/images/3acd5a75-01b…> Extension of OpenMPCon Submission Deadline Do you have something to share with the OpenMP community? Submit a short abstract by June 15 to <http://openmpcon.org/conf2017/call-for-submissions/> OpenMPCon for an opportunity to present your ideas to the community! The deadline to submit a talk for OpenMPCon 2017 has been extended to June 15, 2017 and we encourage everyone to help us create an interesting agenda for the OpenMP Community meeting by submitting relevant talks, such as: * A new tool with OpenMP support * Extension of the functionality of your tool with better OpenMP support * How you and your organization uses OpenMP in applications * Ideas to extend OpenMP which can lead to an interesting discussion * Any other interesting news in the context of OpenMP Go to <https://t.co/VeP2fFPbIW> http://openmpcon.org/conf2017/call-for-submissions/ for additional information on submission to OpenMPCon to present your work. ***************************************************************** OpenMPCon2017 September 18-20, 2017 Stony Brook, New York, USA <http://www.openmpcon.org> http://www.openmpcon.org IMPORTANT DATE: Abstract Deadline: June 15, 2017 ***************************************************************** Sponsored by: OpenMP ARB Description: OpenMPCon is the annual OpenMP Developers conference organized by the OpenMP community, for the community. OpenMPCon takes place 18-20 September in Stony Brook, NY, USA and will focus on the practical usage of OpenMP and other directive based languages, to deliver high-performance computing through parallel processing. Submissions: Submissions are requested from industry experts, developers, and academia on all topics related to OpenMP, including but not limited to: application development from any discipline, algorithms, performance analysis, tools and libraries, optimization, verification, portability and education. Sessions can be in the form of technical presentations, tutorials and workshops, posters, or panel discussions. All submissions should be in the form of short abstracts (minimum 300 words, maximum 1,000 words) and must be handed in as a PDF document. All submissions will go through a peer review process. Session material will be posted on the OpenMPCon website and will be available to conference attendees. Topics of interest include, but are not limited to: * How you Use OpenMP * Guidelines of OpenMP * Tips, tricks, gotchas of OpenMP * Performance of OpenMP * Conformance, build, options of OpenMP compilers/runtime implementations * Latest OpenMP and older releases and how it changes life for users * Accelerator, and heterogeneous computing (GPUs, accelerators, FPGA) * Tasks, task groups and task dependencies * Scientific, HPC workloads * Commercial, analytic workload * Oil and Gas use of OpenMP * Research on OpenMP (although a good research paper should be submitted to IWOMP) * Manufacturing, games, graphics, operating system, device drivers, and networking domains for OpenMP * Comparisons with other parallel languages * Future of OpenMP * Reduction * Base language (C++, C, Fortran) with OpenMP * Affinity * SIMD and vectors * Memory model, atomics, locks, mutexes, barriers & critical sections in OpenMP * OpenMP APIs and environment variables * Cancellation and Error Model * Technical Reports, TR1, TR2 * Arrays shaping in OpenMP * OpenMP concurrency and parallelism * OpenMP designs * Cancellation * Interoperability * Event programming, futures * Governance, ARB, committee logistics * OpenMP website, discussion groups, forums, wikis * Conferences, language meetings, IWOMP * Speculative execution and transactional memory * Software development tools for OpenMP * Relation with other (MPI, OpenCL, OpenACC, ISO, etc) * History of OpenMP * Tutorial-style sessions GENERAL CHAIRS Michael Klemm, OpenMP ARB CEO PROGRAM CHAIR Dirk Schmidl, RWTH Aachen PROGRAM COMMITTEE James Beyer, NVIDIA Michael Klemm, Intel Naoya Maruyama, RIKEN AICS Helen He, Lawrence Berkeley National Lab MARKETING AND SOCIAL MEDIA CHAIR Matthjis van Waveren CONFERENCE MANAGEMENT Kathleen Mattson Tim Lewis <https://twitter.com/OpenMPCon> <https://www.facebook.com/OpenMPConference/> <http://openmpcon.org/> Copyright © 2017 OpenMP ARB, All rights reserved. You are receiving this email because you left us your card or asked for information at our booth at a recent event or on our website. Our mailing address is: OpenMP ARB 1300 MoPac Express Way Austin, Texas 78746 <http://openmp.us4.list-manage2.com/vcard?u=2cbbeac1cf1adba6fb39190d5&id=2d5…> Add us to your address book Want to change how you receive these emails? You can <http://openmp.us4.list-manage.com/profile?u=2cbbeac1cf1adba6fb39190d5&id=2d…> update your preferences or <http://openmp.us4.list-manage.com/unsubscribe?u=2cbbeac1cf1adba6fb39190d5&i…> unsubscribe from this list <http://www.mailchimp.com/monkey-rewards/?utm_source=freemium_newsletter&utm…>

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Three PhD positions in Security and Privacy
by Rolando TRUJILLO RASUA 01 Jun '17

01 Jun '17

The University of Luxembourg seeks to hire three outstanding PhD candidates at the Computer Science and Communications Research Unit. The positions are part of the FNR PRIDE doctoral training programme on "Security and Privacy for System Protection". The University offers highly competitive salaries and is an equal opportunity employer. You will work in an exciting international environment and will have the opportunity to participate in the development of a dynamic and growing centre. Successful candidates will participate in the activities of the Security and Trust of Software Systems (SaToSS) research group led by Prof. Dr. Sjouke Mauw. The group is focused on formalising and applying formal reasoning to real-world security problems and trust issues. We offer three different research projects: - Multi-party Authentication Protocols. Further information and submission guidelines can be found at: https://goo.gl/yqPo6q - Adaptive Cyber-defenses. Further information and submission guidelines can be found at: https://goo.gl/FlMo5E - Security and Privacy in Social Networks. Further information and submission guidelines can be found at: https://goo.gl/TpZ3S7 Applications can be sent to more than one research project. Each application will be considered on receipt, therefore applying before the deadline is encouraged. ================================================== Deadline for applications: August 31st, 2017 ==================================================

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FGCS Journal - Special Issue on Emerging Trends, Issues and Challenges in Internet of Things, Big Data and Cloud Computing.
by Anna Kobusińska 01 Jun '17

01 Jun '17

Call for papers - *Future Special Issue on Emerging Trends, Issues and Challenges in Internet of Things, Big Data and Cloud Computing* https://www.journals.elsevier.com/future-generation-computer-systems/call-f… The future development of cloud computing systems is more and more influenced by Big Data and IoT. There are research and industrial works showing applications, services, experiments and simulations in the Cloud that support the cases related to IoT, Big Data and Security. Cloud users and cloud service providers face a variety of new challenges like encrypted data search, share, auditing, key management security and privacy. There is also a need for protocols that facilitate big data streaming from IoT to the cloud and QoS. This special issue encourages submissions related to all aspects of IoT, Big Data and Cloud Computing. In particular, it aims to examine the prospects and challenges that arise in conjunction with the trending topic in the field of Internet of Things and Big Data which are essential to comply with the necessities of modern cloud applications. Promoting the submission of the ongoing work with the existing important theoretical and practical results, along with position papers and case studies of already present verification projects, this special issue will highlight the art in this domain. As one of the goals, this special issue intends to convene researchers and practitioners to review the diverse range of features of security, privacy, trust and reliability in IoT and Cloud. It also examines significant theories, scrutinies technology enablers, formulates significant application and devise new methods to overcome the major problems that this research area poses. The objective of this special issue is to capture the latest advances in research topics that include but are not limited to: * Big Data and IoT on the Cloud * IoT Services and Applications * Security, Privacy and Trust in IoTSensor Networks * Remote Diagnosis and Development * Data Analysis and Visualization for IoT * Performance Evaluation and Modeling for IoT * Networking and Communication Protocols for IoT * Physical Security and Data LocationTechnological focus for Smart Environments * Data and Knowledge Management * Data Mining * Big Data Security * Cloud Computing Platforms, Applicationsand Management * Cloud Security and Privacy Management * Mobile Cloud Computing * Services Computing * Hybrid Cloud Computing * Virtualization of Resources in Clouds * Energy Efficiency in Clouds * Data Storage in Clouds * Cloud Applications Performance and Monitoring *Important Dates* Paper submission due: June 30, 2017 First-round acceptance notification: September 1, 2017 Revision: October 15, 2017 Final decision: December 15, 2017 Submission of final paper: January 15, 2018 Publication date: March, 2018 *Submission Guidelines* Paper submissions for the special issue should follow the submission format and guidelines for regular Elsevier Journal of Future Generation Computer Systems at http://ees.elsevier.com/fgcs/. All the papers will be peer-reviewed following the FGCS reviewing procedures. Guest editors will make an initial determination of the suitability and scope of all submissions. Papers that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review and the authors will be promptly informed in such cases. Authors should select “*SI:**Emerging Trends, Issues and Challenges in Internet of Things, Big Data and Cloud Computing*” when they reach the “Article Type” step in the submission process. Top conference papers from SC2-2016 (http://grid.chu.edu.tw/sc2-2016) and IoTDBS 2017 (http://www.iotbds.org) will be invited for extended and enhanced version for this special issue. Extended conference contributions must have *at least 50%* difference from the original works (the authors must indicate the conference name and make the reference to the base conference paper). *Guest Editors* Anna Kobusinska (Lead guest editor), Faculty of Computing,Poznan University of Technology, Poland. Raghavendra S, Department of Computer Science and Engineering,University Visvesvaraya College of Engineering,Bangalore, Karnataka, India. Carson Leung, Department of Computer Science,University of Manitoba,Winnipeg, MB, Canada. Robert Hsu, Department of Computer Science and Information Engineering, Chung Hua University, Taiwan. Victor Chang, International Business School Suzhou, Xi’an Jiaotong Liverpool University, China.

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Attractive positions - chairs, Phd and post-doc - At the e2s excellence program Univ. of Pau France
by Christian La Borderie 01 Jun '17

01 Jun '17

Dear Colleagues, Univ of Pau was elected in the Isite excellence call for proposal that ranks it among the best French universities in the domain of sciences. Within the frame of the Isite project which concerns energy and environment, the civil engineering takes it place in the domain of building physics but also in the classical domain of mechanics of materials (concrete, rocks), safety of structures, couplings and particularly in the domain of computation modeling thru FE computations. - 2 junior chair, 12 PhD grants and 4 postdoctoral fellowship are available The department of Civil Engineering of the University is located in the attractive place of the French Basque Country in the suburb of Bayonne-Anglet-Biarritz. Applicants are firstly chosen on their skills and transcripts, then they must develop a project in link with a professor of the university. Be careful at the deadlines - 20th of June for the Junior Chair - 10th of June for the Phd and the post-doc positions Best regards Christian La Borderie SIAME EA-4581 <http://siame.univ-pau.fr/> / ISA-BTP <http://isabtp.univ-pau.fr/> Université de Pau et des Pays de l'Adour <http://www.univ-pau.fr/>. European Journal of Environmental and Civil Engineering <http://www.tandfonline.com/tece>

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ACM-BCB Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine (ParBio) - Ext. Deadline
by Mario Cannataro 31 May '17

31 May '17

I apologize for any cross-posting of this announcement ======================================================================================== 6th International Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine (ParBio) http://staff.icar.cnr.it/cannataro/parbio2017/ held in conjunction with ACM BCB 2017 ACM Conference on Bioinformatics, Computational Biology and Health Informatics August 20-23, 2017 Boston, MA, USA http://acm-bcb.org/ ======================================================================================== * * * CALL FOR PAPERS * * * ======================================================================================== IMPORTANT DATES Paper submission (EXTENDED): June 11, 2017 Notifications sent to authors: June 18, 2017 Camera-ready papers due: June 21, 2017 (THIS IS A FIRM DEADLINE) Workshop: August 20, 2017 ======================================================================================== Due to the availability of high-throughput platforms (e.g. next generation sequencing, microarray and mass spectrometry) and clinical diagnostic tools (e.g. medical imaging), a recent trend in Bioinformatics and Biomedicine is the increasing production of experimental and clinical data. Considering the complex analysis pipeline of the biomedical research, the bottleneck is more and more moving toward the storage, integration, and analysis of experimental data, as well as their correlation and integration with publicly available data banks. While Parallel Computing and Grid Computing may offer the computational power and the storage to face this overwhelming availability of data, Cloud Computing is a key technology to hide the complexity of computing infrastructures, to reduce the cost of the data analysis task, and especially to change the overall model of biomedical research and health provision. Grid infrastructures may offer the data storage needed to store the huge experimental and biomedical data, while parallel computing can be used for basic pre-processing (e.g. parallel BLAST, mpiBLAST) and for more advanced analysis (e.g. parallel data mining). In such a scenario, novel parallel architectures (e.g. CELL processors, GPUs, FPGA, hybrid CPU/FPGA) coupled with emerging programming models may overcome the limits posed by conventional computers to the mining and exploration of large amounts of data. On the other hand, these technologies yet require great investments by biomedical and clinical institutions and are based on a traditional model where users often need to be aware and face different management problems, such as hardware and software management, data storage, software ownership, and not scalable costs (different professional-level applications in the biomedical domain have high starting costs that prevent many small laboratories to use them). The Cloud Computing technology, that is able to offer scalable costs and increased reachability, availability and easiness of application use, and also the possibility to enforce collaboration among scientists, is already changing the business model in different domains and now it starts to be used also in the bioinformatics (see for instance the recent JCVI Cloud Bio-Linux initiative) and biomedical domains. However, many problems remain to be solved, such as availability and safety of the data, privacy-related issues, availability of software platforms for rapid deployment, execution and billing of biomedical applications. The goal of ParBio 2017 is to bring together scientists in the fields of high performance and cloud computing, computational biology and medicine, to discuss, among the others, the organization of large scale biological and biomedical databases, the parallel/service-based implementation of bioinformatics and biomedical applications, and problems and opportunities of moving biomedical and health applications on the cloud. The workshop will focus on research issues, problems and opportunities of moving biomedical and health applications on the cloud, as well as on the opportunity to define guidelines and minimum requirements for a Biomedical Cloud. Moreover, the workshop will discuss about parallel and distributed management and analysis of molecular and clinical data, that more and more need to be integrated and analyzed in a joint way. TOPICS OF INTEREST The main themes and research topics will regard the applications of parallel and high performance computing to biology and medicine, as well as Cloud Computing opportunities and problems for bioinformatics and biomedical applications - Large scale biological and biomedical databases - Data integration and ontologies in biology and medicine - Integration and analysis of molecular and clinical data - Parallel bioinformatics algorithms - Parallel visualization and exploration of omics and clinical data - Parallel visualization and analysis of biomedical images - Computing environments for large scale collaboration - Scientific workflows in bioinformatics and biomedicine - Emerging architectures and programming models for bioinformatics and biomedicine - Parallel processing of bio-signals - Modeling and simulation of complex biological processes - Cloud Computing for bioinformatics and biomedicine - Cloud Computing for health systems - Privacy issues for Cloud-based biomedical applications - (Web) Services for bioinformatics and biomedicine - Grid Computing for bioinformatics and biomedicine - Peer-To-Peer Computing for bioinformatics and biomedicine PROGRAM The workshop will take place on August 20, 2017 It is scheduled as half-day The program is not available yet. PAPER SUBMISSION, REGISTRATION AND PUBLICATION ParBio 2017 welcomes original submissions that have not been published and that are not under review by another conference or journal. Papers should not exceed 10 pages in ACM template on 8.5 x 11 inch paper (see ACM templates - http://www.acm.org/sigs/publications/proceedings-templates) All submissions will be evaluated on their originality, technical soundness, significance, presentation, and interest to the conference attendees. Submission implies the willingness of at least one of the authors to register and present the work associated with the paper submitted. ParBio’s technical program committee will review all submitted papers. All accepted papers of registered authors will be included in the workshop proceedings published by ACM digital libraries. Authors of selected papers may be invited to adapt their papers for their publication in several journals. Authors of accepted papers will be required to submit an online ACM Copyright Form. Authors will be contacted by ACM requesting this information. (Note that ACM copyright permissions are directly compatible with NIH and similar open access policies, see http://authors.acm.org/main.html for more information.). Authors should submit papers using the ParBio2016 Easy Chair Installation (https://easychair.org/conferences/?conf=parbio2017) IMPORTANT DATES Paper submission (EXTENDED): June 11, 2017 Notifications sent to authors: June 18, 2017 Camera-ready papers due: June 21, 2017 (THIS IS A FIRM DEADLINE) Workshop: August 20, 2017 WORKSHOP ORGANIZERS Prof. Mario Cannataro, Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Italy Prof. John A. Springer, Department of Computer and Information Technology, Purdue University, USA PROGRAM COMMITTEE Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy Pratul K. Agarwal, Oak Ridge National Laboratory, USA Marian Bubak, AGH Krakow, PL, and University of Amsterdam, NL Umit Catalyurek, The Ohio State University, USA Jake Y. Chen, Indiana University - Purdue University Indianapolis (IUPUI), USA Tim Clark, Harvard Medical School, USA Giuseppe Di Fatta, University of Reading, UK Werner Dubitzky, University of Ulster, UK Ananth Y. Grama, Purdue University, USA Concettina Guerra, Georgia Institute of Technology, USA Pietro Hiram Guzzi, University Magna Graecia of Catanzaro, Italy Kamer Kaya, The Ohio State University, USA Salvatore Orlando, University of Venezia, Italy Maria S. Perez, Universidad Politecnica de Madrid, Madrid, Spain Richard Sinnott, University of Melbourne, Melbourne, Australia Roberto Tagliaferri, University of Salerno, Italy Paolo Trunfio, University of Calabria, Italy Pierangelo Veltri, University Magna Graecia of Catanzaro, Italy Albert Zomaya, University of Sydney, Australia

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