May 2017 - computational.science

CFP: Resilience@Euro-Par 2017 - Papers due May 5
by Christian Engelmann 08 May '19

08 May '19

We apologize if you receive multiple copies of this call for papers. -------------------------------------------------------------------------------- 10th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <http://www.csm.ornl.gov/srt/conferences/Resilience/2017> in conjunction with the 23rd International European Conference on Parallel and Distributed Computing (Euro-Par), Santiago de Compostela, Spain, August 28 - September 1, 2017 <http://europar2017.usc.es> Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), and software complexity increases. Application correctness and execution efficiency, in spite of frequent faults, errors, and failures, is essential to ensure the success of the extreme-scale HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. While a fault (e.g., a bug or stuck bit) is the cause of an error, its manifestation as a state change is considered an error (e.g., a bad value or incorrect execution), and the transition to an incorrect service is observed as a failure (e.g., an application abort or system crash). A failure in a computing system is typically observed through an application abort or a full/partial service or system outage. A detectable correctable error is often transparently handled by hardware, such as a single bit flip in memory that is protected with single-error correction double-error detection (SECDED) error correcting code (ECC). A detectable uncorrectable error (DUE) typically results in a failure, such as multiple bit flips in the same addressable word that escape SECDED ECC correction, but not detection, and ultimately cause an application abort. An undetectable error (UE) may result in silent data corruption (SDC), e.g., an incorrect application output. There are many other types of hardware and software faults, errors, and failures in computing systems. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, fault detection and prediction, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient solvers and algorithm-based fault tolerance. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and BETWEEN 10 AND 12 PAGES, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with less than 10 or more than 12 pages will not be accepted due to publisher guidelines. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2017 Website: <http://www.csm.ornl.gov/srt/conferences/Resilience/2017> - Resilience 2017 Submissions: <https://easychair.org/conferences/?conf=europar2017workshops> - Euro-Par 2017 website: <http://europar2017.usc.es> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Fault detection and prediction: - Statistical analyses - Machine learning - Anomaly detection - Data and information collection - Visualization - Monitoring and control for resilience: - Platform and application monitoring - Response and recovery - RAS theory and performability - Application and platform knobs - Tunable fidelity and quality of service - End-to-end data integrity: - Fault tolerant design - Degraded modes - Forward migration and verification - Fault injection - Soft errors - Silent data corruption - Enabling infrastructure for resilience: - RAS systems - System software and middleware - Programming models - Tools - Next-generation architectures - Resilient solvers and algorithm-based fault tolerance: - Algorithmic detection and correction of hard and soft faults - Resilient algorithms - Fault tolerant numerical methods - Robust iterative algorithms - Scalability of resilient solvers and algorithm-based fault tolerance Important Dates: - Workshop papers due: May 5, 2017 - Workshop author notification: June 16, 2017 - Workshop early registration: TBD - Workshop paper (for informal workshop proceedings): July 21, 2017 - Workshop camera-ready papers: October 3, 2017 General Co-Chairs: - Stephen L. Scott Senior Research Scientist - Systems Research Team Tennessee Tech University and Oak Ridge National Laboratory, USA scottsl(a)ornl.gov - Chokchai (Box) Leangsuksun, SWEPCO Endowed Associate Professor of Computer Science Louisiana Tech University, USA box(a)latech.edu Program Co-Chairs: - Patrick G. Bridges University of New Mexico, USA bridges(a)cs.unm.edu - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc(a)ornl.gov Program Committee: - Ferrol Aderholdt, Oak Ridge National Laboratory, USA - Dorian Arnold, University of New Mexico, USA - Rizwan Ashraf, Oak Ridge National Laboratory, USA - Wesley Bland, Intel Corporation, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana-Champaign, USA - Marc Casas, Barcelona Supercomputer Center, Spain - Zizhong Chen, University of California at Riverside, USA - Robert Clay, Sandia National Laboratories, USA - Miguel Correia, Universidade de Lisboa, Portugal - Nathan DeBardeleben, Los Alamos National Laboratory, USA - James Elliott, Sandia National Laboratories, USA - Kurt Ferreira, Sandia National Laboratories, USA - Michael Heroux, Sandia National Laboratories, USA - Saurabh Hukerikar, Oak Ridge National Laboratory, USA - Dieter Kranzlmueller, Ludwig-Maximilians University of Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Scott Levy, University of New Mexico, USA - Kathryn Mohror, Lawrence Livermore National Laboratory, USA - Christine Morin, INRIA Rennes, France - Dirk Pflueger, University of Stuttgart, Germany - Nageswara Rao, Oak Ridge National Laboratory, USA - Alexander Reinefeld, Zuse Institute Berlin, Germany - Rolf Riesen, Intel Corporation, USA - Yves Robert, ENS Lyon, France - Thomas Ropars, Universite Grenoble Alpes, France - Martin Schulz, Lawrence Livermore National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. R&D Staff Scientist Computer Science Research Group Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov / Home: www.christian-engelmann.info

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IEEE HPCS Workshop on High Performance Computing Systems for Bioinformatics and Life Sciences (BILIS 2017) - Ext Deadline
by Mario Cannataro 03 Oct '18

03 Oct '18

I apologize for any cross-posting of this announcement. ======================================================================================== Int. Workshop on High Performance Computing Systems for Bioinformatics and Life Sciences (BILIS 2017) http://hpcs2017.cisedu.info/conference/workshops---hpcs2017/workshop17-bilis July 17 – July 21, 2017 Genoa, Italy held in conjunction with International Conference on High Performance Computing & Simulation (HPCS 2017) http://hpcs17.cisedu.info/ ======================================================================================== * * * CALL FOR PAPERS * * * EXTENDED Submission Deadline: April 15, 2017 Submissions could be for full papers, short papers, poster papers, or posters ======================================================================================== IMPORTANT DATES Paper Submissions: --------------------------------- April 15, 2017 - Extended Acceptance Notification: --------------------------- April 28, 2017 Camera Ready Papers and Registration Due by: ------- May 11, 2017 Conference Dates: --------------------------------- July 17 – 21, 2017 ======================================================================================== SCOPE AND OBJECTIVES Incorporating new advancements of Information Technology (IT) in general and High Performance Computing (HPC) in particular in the domain of Life Sciences and Biomedical Research continues to receive tremendous attention of researchers, biomedical institutions and the rest of the biomedical community. Although medical instruments have benefited a great deal from the technological advances of the couple of decades, the impact of integrating IT advancements in addressing critical problems in biomedical research remains limited and the process of penetrating IT tools in the medical profession continues to be a very challenging problem. For example, the use of electronic medical records and Hospital Information Systems in improving health care remains fragmented. Similarly, the use of advanced computational tools seamlessly in the biomedical research cycle continues to be minimal. Due to the computational intensive problems in life sciences, the marriage between the Bioinformatics domain and high performance computing is critical to the advancement of Biosciences. In addition, the problems in this domain tend to be highly parallelizable and deal with large datasets, hence using HPC is a natural fit. The Bioinformatics domain is rich in applications that require extracting useful information from very large and continuously growing sequence of databases. Most methods used for analyzing DNA/Protein sequences are known to be computationally intensive, providing motivation for the use of powerful computational systems with high throughput characteristics. Moreover, high-throughput wet lab platforms such as next generation sequencing, microarray and mass spectrometry, are producing a huge amount of experimental "omics" data. The increasing availability of omics data poses new challenges to bioinformatics applications that need to face in a semi-automatic way an overwhelming availability of raw data. Main challenges regard: 1) the efficient storage, retrieval and integration of experimental data; 2) their efficient and high-throughput preprocessing and analysis; 3) the building of reproducible "in silico" experiments; 4) the integration of analysis results with pre-existing knowledge usually stored into ontologies. As the storage, preprocessing and analysis of raw experimental data is becoming the main bottleneck of the analysis pipeline, parallel computing is playing an important role in all steps of the life sciences research pipeline, from raw data management and processing, to data integration and analysis, and to data exploration and visualization. Moreover, Cloud Computing is becoming the key technology to hide the complexity of computing infrastructures, to reduce the cost of the data analysis task, and especially to change the overall business model of biomedical research and health provision. 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 In such a scenario, large-scale distributed databases and parallel bioinformatics tools are key tools for organizing and exploring biological and biomedical data with the aim to discover new knowledge in biology and medicine. In the current Information age, further progress of Medical Sciences requires successful integration with Computational and Information Sciences. The workshop attempts to attract innovative ways of how such integration can be achieved via Bioinformatics and Biomedical Informatics research, particularly in taking advantage of the new advancements in HPC systems. The focus of data analysis and data mining tools in biomedical research highlights the current state of research in the key biomedical research areas such as bioinformatics, medical informatics and biomedical imaging. Addressing performance concerns in managing and accessing medical data, while facilitating the ability to integrate and correlate different biomedical databases remains an outstanding problem in biomedical research. The amount of available biomedical data continues to grow in an exponential rate; however, the impact of utilizing such resources remains minimal. The development of innovative tools in HPC environments to integrate, analyze and mine such data sources is a key step towards achieving large impact levels. The workshop focuses on topics related to the utilization of HPC systems and new models of parallel computing and cloud computing in problems related to Biomedical Informatics and Life Sciences, along with the use of data integration and data mining tools to support biomedical research and Health Care. The BILIS Workshop topics include (but are not limited to) the following: HPC for the Analysis of Biological Data Bioinformatics Tools for Health Care Parallel Algorithms for Bioinformatics Applications Ontologies in Biology and Medicine Integration and Analysis of Molecular and Clinical Data Parallel Bioinformatics Algorithms Algorithms and Tools for Biomedical Imaging and Medical Signal Processing Energy Aware Scheduling Techniques for Large Scale Biomedical Applications HPC for analyzing Biological Networks Next Generation Sequencing and Advanced Tools for DNA Assembly HPC for Gene, Protein/RNA Analysis and Structure Prediction Identification of Biomarkers Biomedical Visualization Tools Efficient Clustering and Classification Algorithms Correlation Networks in Biomedical Research Data Mining Techniques in Biomedical Applications Heterogeneous Data Integration HPC systems for Ontology and Database Integration Pattern Recognition and Search Tools in Biological and Clinical Databases Ubiquitous Medical Knowledge Discovery and Exchange HPC for Monitoring and Treatment Facilities Drug Design and Modeling Computer Assisted Surgery and Medical Procedures Remote Patient Monitoring, Homecare Applications Mobile and Wireless Healthcare and Biomedical Applications Cloud Computing for Bioinformatics, Medicine, and Health Systems INSTRUCTIONS FOR PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above and other topics related to HPC for Bioinformatics, Healthcare and Life Sciences. Submitted papers must not have been published or simultaneously submitted elsewhere. For Regular papers, please submit a PDF copy of your full manuscript, not to exceed 8 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. Short papers (up to 4 pages), poster papers and posters (please refer to http://hpcs2017.cisedu.info/1-call-for-papers-and-participation/call-for-po… for posters submission details) will also be considered. Please specify the type of submission you have. Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments. Submit a PDF copy of your full manuscript to the workshop organizers via email as attachments to Hesham Ali: hali(a)unomaha.edu, Mario Cannataro: cannataro(a)unicz.it. Acknowledgement will be sent within 48 hours of submission. Only PDF files will be accepted, uploaded to the submission link above. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and presentation, language, and references. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. At least one of the authors of each accepted paper will have to register and attend the HPCS 2017 conference to present the paper at the workshop. PROCEEDINGS Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2017 Conference web site. It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference. The proceedings is projected to be included in the IEEE or ACM Digital Library and indexed in all major indexing services accordingly. SPECIAL ISSUE Plans are underway to have the best papers, in extended version, selected for possible publication in a journal as special issue. Detailed information will soon be announced and will be made available on the conference website. If you have any questions about paper submission or the workshop, please contact the workshop organizers. IMPORTANT DATES Paper Submissions: ------------------------------------ April 15, 2017 - Extended Acceptance Notification: ------------------------------ April 28, 2017 Camera Ready Papers and Registration Due by: ---------- May 11, 2017 Conference Dates: ------------------------------------ July 17 – 21, 2017 WORKSHOP ORGANIZERS Prof. Hesham H. Ali Department of Computer Science College of Information Science and Technology University of Nebraska at Omaha Omaha, NE 68182 USA Email: hesham(a)unomaha.edu Prof. Mario Cannataro Department of Medical and Surgical Sciences University "Magna Græcia" of Catanzaro Viale Europa (Località Germaneto) 88100 Catanzaro, Italy Email: cannataro(a)unicz.it

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Recruitment - PhD Interns on Cyber-Physical Security at SUTD, Singapore
by Jianying Zhou 19 Jul '17

19 Jul '17

Singapore University of Technology and Design (SUTD) is a young university established in collaboration with MIT. Cyber security is one of its most important areas and grows very fast with rich research funding. It has the world's best facilities in cyber-physical systems (CPS) including testbeds for Secure Water Treatment (SWaT), Water Distribution (WADI), Electric Power and Intelligent Control (EPIC), and IoT. (See more info at https://itrust.sutd.edu.sg/research/testbeds/) I am looking for PhD interns with interest in cyber-physical system security (IoT, autonomous vehicle, and power grid etc.), especially on the topics such as 1) Lightweight and low-latency crypto algorithms for CPS devices, 2) Resilient authentication of devices and data in CPS, 3) Advanced SCADA firewall to filter more sophisticated attacking packets in CPS, 4) Big data based threat analytics for detection of both known and unknown threats, 5) Attack mitigation to increase the resilience of CPS. The attachment will be at least 3 months. Allowance will be provided for local expenses. Interested candidates please send your CV with a research statement to Prof. Jianying Zhou. Contact: Prof. Jianying Zhou Email: jianying_zhou(a)sutd.edu.sg Home: http://jianying.space/

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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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(Deadline extended) CFP -- ATIR: Workshop on Axiomatic Thinking for Information Retrieval and Related Tasks @ SIGIR 2017
by Hui Fang 31 May '17

31 May '17

Call For Papers (SUBMISSION DEADLINE EXTENDED TO JUNE 23) ATIR: Workshop on Axiomatic Thinking for Information Retrieval and Related Tasks Co-located with ACM SIGIR 2017 August 11, 2017. Tokyo, Japan Workshop Website: https://www.eecis.udel.edu/~hfang/ATIR.html <https://www.eecis.udel.edu/~hfang/ATIR.html> Motivation The goal of the proposed workshop is to bring together researchers and practitioners interested in applying axiomatic analysis to all kinds of IR and IR-related problems, including particularly both those interested in developing retrieval models and those interested in developing evaluation measures, and to enable them to share their findings (both positive or negative), to present their latest research results, and to discuss future directions. Theme As the title of the workshop suggested, the general theme of the workshop will be about all aspects of applications of axiomatic thinking to solve IR and IR-related problems. The basis of this general theme is the recent growth of work on applying axiomatic thinking to analyze and improve both retrieval models and evaluation metrics, which we expect to continue. The existing work has clearly demonstrated many advantages of axiomatic thinking, including particularly specific theoretical results in the form of novel constraints to be satisfied by retrieval functions or evaluation metrics and improved models or evaluation metrics. However, much more research is still needed in multiple directions. Opportunities of applying axiomatic thinking also go beyond analyzing the basic retrieval functions; in fact, understanding constraints is also beneficial to many IR tasks that use machine learning techniques. Instead of having a designer carefully choose a set of assumptions to make when designing a formal model, these approaches use machine learning to weight items in a pool of features derived from many retrieval heuristics. However, this potentially results in a bloated backend which computes many features irrelevant to the task or collection. Having knowledge about relevant features would help slim down backends and speed learning and ranking. An important strength of the axiomatic methodology is that evaluation data sets become resources used to check motivated hypotheses instead of optimization mechanisms, which are at risk of overfitting. There are even more opportunities for new research on applying axiomatic thinking to evaluation as has already been happening where researchers have done axiomatic analysis of metrics for tasks such as text categorization, clustering, and ranking. In general, an understanding of how to apply axiomatic thinking to IR problems may become increasingly important as information retrieval continues to broaden into new areas. New tasks often require new constraints, and an understanding of these constraints can provide guidance on how to adapt existing methods or how to develop new methods for the new tasks. For example, domain-specific IR tasks such as medical record search might require new retrieval constraints that can capture the domain knowledge. The workshop aims to bring together researchers and practitioners from a broader community to exchange research ideas and results and to foster collaborations across subcommunities. Some of the specific topics we envision to be covered by the workshop theme include, but not limited to: - What constraints are effective to improve retrieval performance independent of the underlying model? - What constraints were expected to be useful but have not been effective in practice? Why not? - In the case of evaluation metrics, why some metric constraints do not affect the system comparison or the user satisfaction? - How can we potentially unify the axiomatic analysis of IR models and evaluation metrics given that both lines of work aim at formally modeling relevance? - Have new languages, media, or domains suggested new constraints for established domains? - To what extent is a valid constraint in one domain also valid in other domains? More generally, which constraints for retrieval methods or evaluation metrics are core ones, and which constraints are highly scenario dependent? - How can axiomatic thinking be combined with machine learning techniques to learn more effective retrieval functions? Planned Activities - Keynote talk - Panel - Presentations of papers Paper Submission We solicit papers describing research work related to the above theme. In addition to the innovative methods with promising results, we also welcome papers reporting negative results. Papers need to be: - 4 or 10 pages - In ACM format - Submission site: https://easychair.org/conferences/?conf=atir2017 <https://easychair.org/conferences/?conf=atir2017> Formal proofs can be added as additional material. The submissions are not anonymous. Important Dates - Submission deadlines: June 23 (for both long and short papers) - Review due: July 7 - Notification: July 10 Workshop Organizers - Enrique Amigo - Hui Fang - Stefano Mizzaro - ChengXiang Zhai ———— Hui Fang Associate Professor David L. and Beverly J. C. Mills Chair JPMC Scholar Department of Electrical and Computer Engineering University of Delaware

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Call For Participation: The 26th ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC-26)
by Song, Shuaiwen 30 May '17

30 May '17

Call for Participation - HPDC-2017<http://hpdc.org/2017/> Washington D.C., June 26-30, 2017 Early registration is open!<http://hpdc.org/2017/registration/> The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier annual conference for presenting the latest research on the design, implementation, evaluation, and the use of parallel and distributed systems for high-end computing. The 26th HPDC conference and its seven associated workshops will take place at the Westin George Hotel, June 26-30 in Washington, D.C., featuring a technical program covering various aspects of high-performance computing, three distinguished keynote speakers, and an industry session: HPDC 2017 Program<http://hpdc.org/2017/program/> Keynote speakers: Julia Lane<http://cusp.nyu.edu/people/julia-lane/>, Professor at NYU's Center for Urban Science and Progress (CUSP). Rick Stevens<https://www.cs.uchicago.edu/directory/rick-stevens>, Professor at UChicago and Argonne National Labs. Janice Coen<https://staff.ucar.edu/users/janicec>, Project Scientist at the National Center for Atmospheric Research (NCAR). Achievement Award Recipient: David Abramson<http://researchers.uq.edu.au/researcher/2986>, Professor at University of Queensland. Technical Sessions: * Scheduling * Data Management * Parallel Methods and Algorithms * Fault Tolerance * Performance Modeling and Analysis * Data Partitioning Workshops: FTXS<https://sites.google.com/site/ftxsworkshop/home/ftxs-2017> (Fault Tolerance) SEM4HPC<http://periscope.in.tum.de/sem4hpc/> (Software Engineering) ROSS<http://htor.inf.ethz.ch/ross2017/> (Operating Systems) ScienceCloud<https://sites.google.com/site/sciencecloudhpdc/> (Scientific Cloud Computing) HPDC'17 Student Travel Grants Application<http://www.hpdc.org/2017/registration/student-travel-grants/> Applications due by June 2nd, 2017 General Co-Chairs Howie Huang - George Washington University, USA Jon Weissman - University of Minnesota, USA Program Co-Chairs Adriana Iamnitchi - University of South Florida, USA Alexandru Iosup - Vrije Universiteit Amsterdam and Delft University of Technology, the Netherlands Posters Chair Radu Prodan - University of Innsbruck, Austria Workshops Chairs Rich Wolski - University of California at San Diego, USA Ana Lucia Varbanescu - University of Amsterdam, The Netherlands -- Shuaiwen Leon Song Staff Research Scientist High Performance Computing Group, Advanced Computing, Mathematics, and Data Division, Pacific Northwest National Lab (PNNL), Washington, US, Office:509-372-4189 Email: Shuaiwen.Song(a)pnnl.gov HomePage: https://sites.google.com/site/shuaiwenleonsongresearch/ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ It is never too late to become what you might have been. ^ -- George Elliot ^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

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CFP – Central European Cybersecurity Conference (16-17 November 2017)
by CECC 29 May '17

29 May '17

Dear Colleague, Please consider submitting an article to the Central European Cybersecurity Conference – CECC 2017 to be held on 16 – 17 November 2017 in Ljubljana, Slovenia. CECC 2017 aims at establishing a venue for the exchange of information on cybersecurity and its many aspects in central Europe. CECC 2017 encourages the dialogue between researchers of technical and social aspects of cybersecurity, both crucial in attaining adequate levels of cybersecurity. Complementary contributions dealing with its economic aspects as well as any legal, investigation or other issues related to cybersecurity are welcome, too. The abstract submission deadline has been recently extended to 19 June 2017. Publications: 1. All accepted and presented research papers will be available in Open Access conference proceedings published by the University of Maribor Press and submitted for indexing by DBLP, Elsevier SCOPUS and Thomson Reuters Web of Science™ Core Collection. 2. Selected accepted and presented research papers will be published, after further revision to ensure adequate quality for journal papers, in special issue “Technical and Social Aspects of Critical Infrastructure Security” of the Journal of Universal Computer Science (ISSN 0948-695x / 0948-6968). More details can be found on the conference website: https://www.fvv.um.si/cecc2017/ Best regards, CECC 2017 Organizers

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PhD Scholarship in Intelligent and Immersive Big Data Analytics
by Quang Vinh Nguyen 29 May '17

29 May '17

With the growth of data and technologies, visual analytics platforms have been extended from ordinary personal computers to different environments such as large and high resolution displays, portable devices and virtual reality (VR), augmented reality (AR) or both. Immersive visual analytics have been considering one of the potential approaches for analysing and manipulating large data sets. Large immersive systems may not be suitable for individual analysts due to their size, complexity and the lack of portability. Portable immersive environment, such as Microsoft Hololens, gives the users holograms real-world context and scale, allowing them to interact with both digital content and the world around them. The device could open a new research direction in analysing large information interactively and in real time in the personalised and immersive environment. This project looks at a new way to use supporting technologies in virtual reality and augmented reality to support the large scale visual analytics. The specific objectives of this research are to * Investigate new interactive visualisation platform for VR and AR environment. * Integrate and expand knowledge in information visualisation, artificial intelligent with technologies to enable personalised visualisation. * Develop new methods and algorithms that enables the natural interaction and data manipulation in the immersive environment. * Evaluate the effectiveness of the visual analytics What does the scholarship provide? * Domestic students receive a tax-free stipend of up to AU$30,000 per annum for up to 3 years, and a funded place in the doctoral program. * International students receive a tax-free stipend up to AU$30,000 per annum. Outstanding students may be awarded a Tuition Fee Waiver valued at approximately AU$24,000 per annum for up to 3 years. Selection Criteria The successful candidate must have: * A bachelor degree with First Class Honours, OR a Masters Degree with research experience (including research publications). * A strong background in the field of computer science or related degrees. * High-level of interest and knowledge in Visualisation, Human-Machine Interaction or Data Science are preferred. * High-level of programming skills. * Must satisfy Western Sydney University's English language requirements. How to Apply * Applicants should discuss their eligibility and the project with Doctor Quang Vinh Nguyen (q.nguyen(a)westernsydney.edu.au<mailto:q.nguyen@westernsydney.edu.au>) before submitting the application, including sending CV, academic transcripts, and publications. * Submit a scholarship application form, CV, and all other relevant supporting documentation to the Graduate Research School (grs.scholarships(a)westernsydney.edu.au) * Applicants should ensure that all relevant documents are certified according to Western Sydney University requirements. Incomplete applications will not be considered. * If you have any queries regarding the application process or enrolment, please contact the Graduate Research School at grs.scholarships(a)westernsydney.edu.au; +61 2 4736 0966. Applications will be considered until the position is filled. This scholarship is made possible by philanthropic support from Oracle Oracle offers a comprehensive and fully integrated stack of cloud applications and platform services. For more information about Oracle (NYSE:ORCL), visit www.oracle.com. https://www.westernsydney.edu.au/newscentre/news_centre/more_news_stories/o… -- Best Regards, Dr. Quang Vinh Nguyen | Senior Lecturer in Visual Analytics School of Computing, Engineering & Mathematics, and MARCS Institute Room: ER.G.18 (Building ER), Parramatta Campus Phone: +61 2 9685 9328 Email: q.nguyen(a)westernsydney.edu.au Homepage: http://staff.scem.westernsydney.edu.au/~vinh/ [WSU_Logo_hex_142x56px_email signature]

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Cyber Security PhD Schoalrship
by Vijay Varadharajan 28 May '17

28 May '17

Cyber Security PhD Scholarship – The University of Newcastle with the Defense Science and Technology (DST) Group Supervisors: Prof. Vijay Varadharajan, The University of Newcastle and Dr. Anton V. Uzunov, DST Group Topic Area: Advanced Authorization Infrastructures for Distributed Autonomic Systems Autonomic computing – or equivalently, self-adaptive computing – is concerned with supporting dynamic system evolution in response to changing internal or external circumstances, by endowing systems with automated self-management capabilities, thereby turning ordinary software systems into autonomic systems (or equivalently, self-adaptive or self-managing systems). One of the core properties whose enforcement leads to supporting such self-management capabilities is self-protection, which can be defined as a system’s ability to anticipate, to prevent, to detect and guard itself against cyber security threats. A significant problem with self-protection is how to constrain and control system actions, which involves aspects such as specification of privileges to perform actions, propagation of privileges in a distributed environment and their enforcement in heterogeneous systems and devices, ranging from cloud servers to mobile Internet of Things. The project is expected to investigate cryptographically enforced access control models and distributed capability-based models. The research will consider how access classes and capabilities with different privileges can be specified, keys and capabilities can be securely propagated in distributed, heterogeneous environments, how access to services and to devices/nodes should be enforced in a decentralized context, and what adaptation mechanisms should be applied in response to changing system/operational conditions. The project will involve the design of security architecture, development of new algorithms as well as the development of proof-of-concept implementations or case studies to validate the developed models and techniques in simulated or real-life scenarios. It is envisioned that the outcomes and outputs of the project will be specifically applicable to both IoT and autonomous cyber defense scenarios, and all case studies and/or application examples will be drawn from these areas. Scholarship Duration: 3 and ½ years Eligibility * Australian Citizenship required. * Must be Motivated and Committed to Doing Research * Knowledge of Cryptography and Security Techniques will be helpful. Contact: vijay.varadharajan(a)newcastle.edu.au<mailto:vijay.varadharajan@newcastle.edu.au> or Anton.Uzunov(a)dst.defence.gov.au<mailto:Anton.Uzunov@dst.defence.gov.au> Application Deadline: 30 June 2017

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CfP: IEEE eScience Environmental Computing Workshop (ECW) - Oct 24 - 27, Auckland, New Zealand
by Matti Heikkurinen/LMU 26 May '17

26 May '17

Call for Papers: Environmental Computing Workshop (ECW) Organised in conjunction with eScience 2017 conference October 24 - 27 2017 Auckland, New Zealand http://www.envcomp.eu/eScience2017 This workshop will bring together practitioners, policymakers, and environmental modelling experts to present the latest developments in Environmental Computing. Submissions by groups and individuals working on related – or potentially related – fields are also encouraged in order to uncover new opportunities for interdisciplinary collaboration. The topics of interest include: • Case studies in environmental computing related domains • Environmental modelling and optimisation techniques • Novel environmental computing applications • Multi-scale, multi-model and multi-physics systems • Civil protection and related engineering challenges • Scalability of environmental HPC and Big Data applications • Risk analysis, assessment, management, and mitigation • Interdisciplinary and stakeholder collaboration • Dynamic multi-directional model coupling approaches • Multifaceted data and metadata frameworks • Urgent computing and probabilistic models • Data visualisation and interactive analysis • Uncertainty quantification and visualisation BACKGROUND Already today, many domain- or problem-specific areas – such as meteorology or seismic analysis –use multi-model, multi-data, and multi-scale approaches to analyse and study environmental phenomena and their impact. However, a more generalised approach to producing actionable knowledge from different environmental data sources is needed to build more comprehensive multi-model systems that can more readily support various decision making processes. The topic is of acute interest due to environment-related societal challenges that require generalising, productising and maturing today’s environmental modelling solutions. Imminent application areas of environmental computing include managing disasters and disaster risks, supporting prompt political decision making, and many other similar domains. PAPER AND ABSTRACT SUBMISSION The contributions can be traditional papers (maximum 10 pages), experience papers (short papers or annotated slide sets of maximum 15 slides) or presentations abstracts. Contributions should be submitted at https://easychair.org/conferences/?conf=ecw2017 by June 30th. Please consult the conference call for papers page (http://escience2017.org.nz/submissions/call-for-papers/) for information about templates and submission types. IMPORTANT DATES Paper Submission: June 30, 2017 Notification of Acceptance: July 28, 2017 Camera-Ready: August 11, 2017 Conference: October 23 – 27, 2017 (Auckland, New Zealand) ORGANISATION AND CONTACT Dieter Kranzlmüller, LMU & LRZ Munich, Germany Sam Dean, NIWA, New Zealand Matti Heikkurinen, LMU Munich http://www.envcomp.eu/eScience2017 - info(a)envcomp.eu

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