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Job Openings for Research Assistant Professors in Computer Science (several positions) at Hong Kong Baptist University (HKBU) (PR156/17-18)
by comp hkbu 26 Oct '17

26 Oct '17

http://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=409 The Department of Computer Science, presently offers BSc, MSc, MPhil, and PhD programmes, now seeks outstanding applicants for Research Assistant Professor positions, which are created and funded as part of the strategic research development initiatives in the Department. The appointees will be provided with a conducive research environment, and will work within an established group of faculty in the Department. They are also expected to perform group-based high-impact research and to undertake some teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in Data Analytics and Artificial Intelligence (computational algorithms and/or infrastructures) and their applications. Initial appointment will be made on a fixed-term contract of two to three years. Re-appointment thereafter is subject to mutual agreement and availability of funding. For enquiry, please contact Dr William Cheung, Head of Department (email: william [at] comp.hkbu.edu.hk). More information about the Department can be found at http://www.comp.hkbu.edu.hk. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to write in response to the requirements and provide an updated curriculum vitae and/or fill in the application form which is obtainable (a) by downloading from http://pers.hkbu.edu.hk/applicationforms; or (b) by fax at 3411-7799; or (c) in person from the Personnel Office, Hong Kong Baptist University, AAB903, Level 9, Academic and Administration Building, 15 Baptist University Road, Kowloon Tong, Kowloon. The completed application form should be sent to the same address by post or by e-mail to recruit [at] hkbu.edu.hk. Please quote PR number on all correspondence. Applicants are requested to send in samples of publications, preferably three best ones out of their most recent publications to the Personnel Office direct. Applicants not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will not be returned after the completion of the recruitment exercise unless upon request. Details of the University's Personal Information Collection Statement can be found at http://pers.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions then applicable at the time of offer. Closing date: 4 November 2017 or until the position is filled

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CfP - Ada Developer Room at FOSDEM 2018, Brussels, Belgium
by Dirk Craeynest 26 Oct '17

26 Oct '17

----------------------------------------------------------------------- Call for Presentations 8th Ada Developer Room at FOSDEM 2018 Saturday 3 February 2018, Brussels, Belgium http://www.cs.kuleuven.be/~dirk/ada-belgium/events/18/180203-fosdem.html Organized in cooperation with Ada-Europe ----------------------------------------------------------------------- Ada-Belgium [1] is pleased to announce that there will be a one-day Ada Developer Room on Saturday 3 February 2018 at FOSDEM 2018 in Brussels, Belgium. This Ada DevRoom is once more organized in cooperation with Ada-Europe [2]. General Information ------------------- FOSDEM [3], the Free and Open source Software Developers' European Meeting, is a free and non-commercial two-day weekend event organized early each year in Brussels, Belgium. It is highly developer-oriented and brings together 8000+ participants from all over the world. No registration is necessary. The goal is to provide open source developers and communities a place to meet with other developers and projects, to be informed about the latest developments in the open source world, to attend interesting talks and presentations on various topics by open source project leaders and committers, and to promote the development and the benefits of open source solutions. Ada Programming Language and Technology --------------------------------------- Awareness of safety and security issues in software systems is increasing. Multi-core platforms are now abundant. These are some of the reasons that the Ada programming language and technology attracts more and more attention, among others due to Ada's support for programming by contract and for multi-core targets. The Ada 2012 language definition was approved and published by ISO in December 2012, updated early 2016, and work on new features for the next revision is ongoing. More and more tools are available, many are open source, including for small and recent platforms. Interest keeps increasing, also in the open source community, and many exciting projects started. Ada Developer Room ------------------ FOSDEM is an ideal fit for Ada developers to meet. On the one hand, it gives the general open source community an opportunity to see what is happening in the Ada community and how Ada technology can help to produce reliable and efficient open source software. On the other hand, it gives open source Ada projects an opportunity to present themselves, get feedback and ideas, and attract participants to their project and collaboration between projects. At previous FOSDEM events, Ada-Belgium has organized very well attended Ada Developer Rooms, offering a full day program in 2006 [4], a two-day program in 2009 [5], and full day programs in 2012 [6], 2013 [7], 2014 [8], 2015 [9], and 2016 [10]. An important goal is to present exciting Ada technology and projects also to people outside the traditional Ada community. Our proposal for another dedicated Ada DevRoom was accepted, and now work continues to prepare the detailed program. We most probably will have a total of 8 schedulable hours between 11:00 and 19:00 in a room which accommodates 76 participants. More information will be posted on the dedicated web-page on the Ada-Belgium site [11], and final announcements will of course also be sent to various forums, lists and newsgroups. Call for Presentations ---------------------- We would like to schedule technical presentations, tutorials, demos, live performances, project status reports, discussions, etc, in the Ada Developer Room. Ada-Belgium calls on you to: - inform us at ada-belgium-board(a)cs.kuleuven.be about specific presentations you would like to hear in this Ada DevRoom; - for bonus points, subscribe to the Ada-FOSDEM mailing list [12] to discuss and help organize the details; - for more bonus points, be a speaker: the Ada-FOSDEM mailing list is the place to be! Do you have a talk you want to give? Do you have a project you would like to present? Would you like to get more people involved with your project? We're inviting proposals that are related to Ada software development, and include a technical oriented discussion. You're not limited to slide presentations, of course. Be creative. Propose something fun to share with people so they might feel some of your enthusiasm for Ada! Speaking slots are 20 or 45 minutes, plus 5 minutes for Q&A. Depending on interest, we might also have a session with lightning presentations (e.g. 5 minutes each). Note that all talks will be streamed live (audio+video) and recorded, for remote as well as later viewing of talks, and so that people can watch streams in the hallways when rooms are full. By submitting a proposal, you agree to being recorded and streamed, and agree the content of your talk will be published under the same license as all FOSDEM content, a Creative Commons (CC-BY) license. Submission Guidelines --------------------- Subscribe to the Ada-FOSDEM mailing list [12], and submit your proposal there. If needed, feel free to contact us at ada-belgium-board(a)cs.kuleuven.be. Please include: - your name, affiliation, contact info; - the title of your talk (be descriptive and creative); - a short descriptive and attractive abstract; - potentially pointers to more information; - a short bio and photo. See programs of previous Ada DevRooms (URLs below) for presentation examples, as well as for the kind of info we need. We'd like to put together a draft schedule by early December. So, please act ASAP, and definitely by November 26, 2017 at the latest. We look forward to lots of feedback and proposals! Dirk Craeynest Dirk.Craeynest(a)cs.kuleuven.be (for Ada-Belgium/Ada-Europe/SIGAda/WG9) ----------------------------------------------------------------------- [1] http://www.cs.kuleuven.be/~dirk/ada-belgium [2] http://www.ada-europe.org [3] https://fosdem.org [4] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/06/060226-fosdem.html [5] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/09/090207-fosdem.html [6] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/12/120204-fosdem.html [7] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/13/130203-fosdem.html [8] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/14/140201-fosdem.html [9] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/15/150131-fosdem.html [10] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/16/160130-fosdem.html [11] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/18/180203-fosdem.html [12] http://listserv.cc.kuleuven.be/archives/adafosdem.html -----------------------------------------------------------------------

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CfP: ROME 2018 - 6th Workshop on Runtime and Operating Systems for the Many-core Era
by Lankes, Stefan 25 Oct '17

25 Oct '17

======================================================================= CALL FOR PAPER The 6th Workshop on Runtime and Operating Systems for the Many-core Era (ROME 2018) May 25, 2018, Vancouver, British Columbia, Canada held in conjunction with IPDPS 2018, May 21 - May 25, 2018 Vancouver, British Columbia, Canada https://wrome.github.io/vancouver2018/ <https://wrome.github.io/vancouver2018/> ======================================================================= Background ---------- Since the beginning of the multicore era, parallel processing has become prevalent across the board. However, in order to continue a performance increase, a further evolutionary step is currently ongoing by moving away from common multicores towards innovative heterogeneous many-core architectures with deep memory hierarchies on a large scale. Such systems, equipped with a significantly higher number of cores per chip than multicores, pose challenges in both hardware and software design. On the hardware side, complex on-chip networks, scratchpads, hybrid memory cubes, non-volatile memory and stacked memory, as well as deep cache-hierarchies and novel cache-coherence strategies currently enrich the respective research areas. However, the ROME workshop focuses on the software side because without complying system software, runtime and operating system support, all these new hardware facilities cannot be exploited. Hence, the challenges in hardware/software co-design are to step beyond traditional approaches and to venture new approaches for runtime, middleware and operating system designs in order to exploit the theoretically available performance of upcoming hardware features as effectively and energy-consciously as possible. In addition, there is currently a strong trend to converge the areas of cloud and high-performance computing. Classical cloud techniques will soon be used in the area of high-performance computing and vise-versa. Projects and frameworks have already proven the benefits of OS-level virtualization for high-performance computing, whereas high-performance interconnects are able to accelerate cloud applications, too. Moreover, customized operating systems, hypervisors and unikernels are likely to leverage the efficient employment of virtualization on a broad scale. Topics ------ Authors from all related disciplines are invited to submit unpublished papers regarding their work on many-core related software research regarding operating systems and runtime environments in the area of cloud and high-performance computing. The topics of interest include, but are not limited to: * Virtualization techniques (e. g. containers) for high-performance computing * System software to converge cloud and high-performance computing * Lightweight/specialized operating systems, unikernels and hypervisors * New approaches for operating systems on novel (heterogeneous) many-core architectures * System software for enabling parallelism at an extreme scale * Management, deployment of virtualized environments and orchestration * Many-core/multi-node aware runtime support for large-scale applications * Bare-metal programming and system software for many-cores * Extensions for operating systems and virtualization techniques to support emerging memory technologies * System noise analysis and prevention * Message-passing interfaces and middleware for many-core systems * Heterogeneity- and/or hierarchy-aware many-core middleware * Software stacks for new concepts of compute acceleration by GPUs, FPGAs and many-core architecture * Interfaces for performance and power analysis * Runtime support and kernel extensions for power-aware many-core computing Paper Submission ---------------- Submitted manuscripts may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. The submitted manuscripts should include author names and affiliations. The IEEE conference style templates for MS Word and LaTeX provided by IEEE eXpress Conference Publishing are available for download. See the latest versions at https://www.ieee.org/conferences_events/conferences/publishing/templates.ht…. Upload your submission to our submission server (https://easychair.org/conferences/?conf=rome2018 <https://easychair.org/conferences/?conf=rome2018>) in PDF format. Accepted manuscripts will be included in the IPDPS workshop proceedings. Further Information ------------------- See the ROME'18 website at https://wrome.github.io/vancouver2018/ <https://wrome.github.io/vancouver2018/> Important Dates --------------- * January 30, 2018: Submission deadline * February 23, 2018: Notification of acceptance * March 18, 2018: Workshop camera-ready papers due * May 25, 2018: ROME’18 Workshop Workshop Organizers ------------------- * Stefan Lankes, Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, Germany * Carsten Clauss, ParTec Cluster Competence Center GmbH, Germany * Dr. rer. nat. Jens Breitbart, Robert Bosch GmbH, Germany Program Committee: ------------------ * Jens Breitbart, Robert Bosch GmbH, Germany * Balazs Gerofi, University of Tokyo, Japan * Carsten Clauss, ParTec Cluster Competence Center GmbH, Germany * Stefan Lankes, RWTH Aachen University, Germany * Arthur Maccabe, Oak Ridge National Laboratory, USA * Jörg Nolte, BTU Cottbus, Germany * Lena Oden, Juelich Supercomputing Centre, Germany * Antonio J. Peña, Barcelona Supercomputing Center, Spain * Juan Carlos Saez, Complutense University of Madrid, Spain * Bettina Schnor, University of Potsdam, Germany * Oliver Sinnen, University of Auckland, New Zealand * Swann Perarnau, Argonne National Laboratory, USA * Josef Weidendorfer, TU München, Germany * Carsten Weinhold, TU Dresden, Germany * Robert Wisniewski, Intel, USA -- Dr. rer. nat. Stefan Lankes Institute for Automation of Complex Power Systems E.ON Energy Research Center, RWTH Aachen University Mathieustraße 10 52074 Aachen, Germany Phone: +49-241-80-49740 E-Mail: slankes(a)eonerc.rwth-aachen.de

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Recruitment - PhD Interns on Cyber-Physical Security at SUTD, Singapore
by Jianying Zhou 25 Oct '17

25 Oct '17

Singapore University of Technology and Design (SUTD) is a young university which was established in collaboration with MIT. iTrust is a Cyber Security Research Center with about 15 multi-discipline faculty members from SUTD. 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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Max Planck Postdoctoral Fellowship for Excellent Women in Computer Science
by Lise-Meitner Award 23 Oct '17

23 Oct '17

* Max Planck Postdoctoral Fellowship for Excellent Women in Computer Science Every second year the Max Planck Institute for Informatics awards the Lise Meitner Award Fellowship. This postdoctoral grant supports excellent female computer scientists in their careers, giving them the opportunity to develop their scientific ideas without exertion of influence. It consists of a two-year tax-free research fellowship and business expenses. Fellows will be chosen based on the strength of their academic background and research credentials. Applications should include a CV, cover letter, publication list, short research plan (one page is enough), and two references. This grant is according to the fellowship rules of the Max Planck Society; it usually amounts to 3,000 Euro/month and is completed by compensation for business expenses of 10,000 Euro/year. The deadline for the application is 01.12.2017. For more information, please contact meitner-award(a)mpi-inf.mpg.de. https://www.mpi-inf.mpg.de/news/employment/lise-meitner-award-fellowship/ About the Max Planck Institute for Informatics The Max Planck Society is Germany's largest society for fundamental research with more than 30 Nobel Prize winners, including Prof. Christiane Nüsslein-Volhard - one of the few female Nobel Laureates. The research institutes of the Max Planck Society are nationally and internationally renowned as Centers of Excellence in foundational research. The Max Planck Institute (MPI) for lnformatics is devoted to cutting-edge research in computer science and technology with a focus on algorithms and their applications in a broad sense. Its research ranges from fundamental topics (algorithms and complexity, automation of logic) to a variety of application domains (computer graphics and vision, geometric computation, program verification, databases and information systems, and computational biology). The MPI for lnformatics is located on the campus of Saarland University in Saarbrücken, Germany. The Saarland University campus is also home to the Max Planck Institute for Software Systems, the German Research Institute for Artificial Intelligence, the Center for IT-Security, Privacy, and Accountabilty (CISPA), the Cluster of Excellence on Multimodal Computing and Interaction, the Center for Bioinformatics, and the Graduate School of Computer Science. These institutions cooperate closely and comprise a total of more than 300 researchers in computer science. The institute collaborates with several of the major research institutions in Europe and the United States and has high international visibility. The MPI for lnformatics strives to provide a family-friendly work environment, with day care opportunities for smaller children and other means of support for working mothers. *

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A Special Issue on Optimization and Machine Learning via Modelling and Simulation
by Jie Shen 19 Oct '17

19 Oct '17

Dear Colleagues, Below is the information of a special issue to be published in International Journal of Modelling and Simulation, which is a peer-reviewed, EI-indexed research journal: *Call for a Special Issue: Optimization and Machine Learning via Modelling and Simulation* *International Journal of Modelling and Simulation* Editor: Jie Shen, Ph.D., Prof. Email: shen(a)umich.edu This special issue will provide a forum for scientists and engineers alike to present their latest findings on the subject of optimization and machine learning. Specific topics of interest include, but are not limited to: Ø Evolutionary optimization Ø Neural network-based optimization and forecasting Ø Optimization applications of big data Ø Novel machine learning schemes Ø Deep learning via modelling and simulation *Paper Submission* *Submission Website*: www.tandfonline.com/loi/tjms20 (The prefix of your manuscript should be SI-OMLMS:) *Deadline for Full Paper Submission*: February 1, 2018 *Author Paper Review Acceptance or Revision Notification to Author*: May 1, 2018 *Submission of Final Paper*: June 1, 2018 *Journal Publication (online first)*: June 15, 2018 *Journal Publication (print)*: 3 to 6 months later

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CFP: 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2018), May 9-11, 2018, Nanjing, China
by Shen, Weiming 18 Oct '17

18 Oct '17

(Apologies if you receive multiple copies of this CFP) *************************************************** The 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2018) May 9-11, 2018, Nanjing, China http://2018.cscwd.org/ *************************************************** Design of complex artifacts and systems requires the cooperation of multidisciplinary design teams. The 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2018) provides a forum for researchers and practitioners involved in different but related domains to confront research results and discuss key problems. The scope of CSCWD 2018 includes the research and development of collaboration technologies and their applications to the design of processes, products, systems, and services in industries and societies. Collaboration technologies include theories, methods, mechanisms, protocols, software tools, platforms, and services that support communication, coordination and collaboration among people, software and hardware systems. Related fields of research include human-computer interaction, business process management, collaborative virtual environments, enterprise modeling, security and privacy, as well as social aspects and human factors related to collaboration and design. The major topics of interest to the conference include, but are not limited to: * Collaboration theories and methodologies * Collaboration methods, mechanisms, and protocols * Collaboration platforms, software tools, and services * Collaborative computing (Agents, Clouds, Grids, Web Services, Blochchains) * Collaborative processing of Big Data * Collaborative virtual environments * Collaborative wireless sensor networks and Internet of Things * Collaborative workflows * Collaborative workspaces * Interoperability, ontology and semantics * Security and privacy in collaborative systems * Collaboration technology applications in aerospace, automotive, and manufacturing * Collaboration technology applications in architecture, engineering, and construction * Collaboration technology applications in business and administration * Collaboration technology applications in healthcare and homecare * Collaboration technology applications in infrastructure and facility management * Collaboration technology applications in intelligent buildings and smart homes * Collaboration technology applications in logistics and transportation * Collaboration technology applications in power and energy * Collaboration technology applications in social networks and entertainment Submission of Papers ============= Papers reporting original research results and experience are solicited. Each paper, written in English, is limited to 6 pages (IEEE proceedings format), including references and illustrations. Electronic submissions in PDF format are strongly recommended. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will attend the conference to present the paper. Submission Web Site: https://easychair.org/conferences/?conf=cscwd2018 Publication ============= All submitted papers will be reviewed by program committee members and selected based on their originality, significance, relevance, and clarity of presentation. Accepted papers will be published in the IEEE categorized conference proceedings and will be submitted for indexing to EI (Compendex), DBLP and other indexing services. Authors of selected papers will be invited to submit revised and expanded version of their papers to be considered for publication in special issues of well-known international journals (confirmed with Elsevier Journal: Advanced Engineering Informatics). Contacts ============= Dr. Fang Dong, School of Computer Science and Engineering Southeast University, China fdong(a)seu.edu.cn<mailto:fdong@seu.edu.cn> Dr. Weiming Shen National Research Council Canada wshen(a)ieee.org<mailto:wshen@ieee.org> Important Dates ================ October 30, 2017 Paper submission due February 28, 2018 Author notification March 31, 2018 Final papers due March 31, 2018 Author registrations due May 9-11, 2018 Conference Organized by ============= Southeast University, China Co-Sponsored by ============= IEEE SMC Society CSCWD International Working Group

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Special Issue on Parallel and Distributed Data Mining
by Massimo Cafaro 18 Oct '17

18 Oct '17

Special Issue on Parallel and Distributed Data Mining Information Sciences, Elsevier The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power. The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following. TOPICS OF INTEREST Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications Middleware for high-performance data mining on grid and cloud environments Benchmarking and performance studies of high-performance data mining applications Novel programming paradigms to support high-performance computing for data mining Performance models for high-performance data mining applications and middleware Programming models, tools, and environments for high-performance computing in data mining Map-reduce based parallel data mining algorithms Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Novel distributed data mining algorithms SUBMISSION GUIDELINES All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins) The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process. A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a…. IMPORTANT DATES Submission deadline: December 1th, 2017 First round notification: March 1th, 2018 Revised version due: May 1st, 2018 Final notification: June 1st, 2018 Camera-ready due: July 1st, 2018 Publication tentative date: October 2018 Guest editors: Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Italo Epicoco, Email: italo.epicoco(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it University of Salento, Italy - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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Call For Papers: The 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention
by Andrii Shalaginov 16 Oct '17

16 Oct '17

Dear Colleague, (Apologies for multiple postings) We would like to invite you to submit your contributions to the 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention. It is co-located with IEEE International Conference on Big Data 2017 that will take place in Boston, USA, December 11-14, 2017. Workshop webpage: https://www.ntnu.edu/iik/digital_forensics/ieeebigdata2017 *** IMPORTANT DATES *** Oct 19, 2017 (Extended from Oct 10, 2017): Due date for full workshop papers submission Nov 5, 2017 (Extended from Nov 1, 2017): Notification of paper acceptance to authors Nov 20, 2017 (Extended from Nov 15, 2017): Camera-ready for accepted papers Dec 11-14, 2017: Workshops *** INTRODUCTION *** The big data paradigm has become inevitable in every aspect of the digital forensics process. Increase in personal devices (such as computers, smart phones, tablets, sensors and storage mediums) results in an expanding volume of potential evidence found in them. The increase in data is one of the largest challenges facing law enforcements’ timely prosecutions; with the effect, that human analysts can no longer be the lone actor in the loop. There is a need to create innovative and advanced models and analysis methods to help human analysts within law enforcements in order to automatically aid with the discovery, correlation, examination, analysis and understanding of evidence in criminal cases. Advanced big data analytics are important for cybercrime investigation and require novel approaches for automation. *** PROPOSED TOPICS *** Note that the topics are not limited to this proposed list. 1. Algorithms - Machine learning-aided analysis - Graph-based detection - Topic modeling - Secure platforms - Distributed storage and processing - Secure collaborative platforms 2. Applications - Network forensics readiness - Cyber threats intelligence - Malware analysis and detection - Emails mining - Events correlations - Access logs analysis - Mobile and Internet of Things forensics - Fraud detection - Database forensics 3. Data - Novel datasets - Digital forensics data simulation - Anonymised case data - Data storage standards - New formats and taxonomies *** PROGRAM CO-CHAIRS *** Andrii Shalaginov, Norwegian University of Science and Technology Katrin Franke, Norwegian University of Science and Technology Jan William Johnsen, Norwegian University of Science and Technology *** PROGRAM COMMITTEE *** Asif Iqbal (KTH Royal Institute of Technology) Bojan Kolosnjaji (Technical University of Munich) Carl Leichter (Norwegian University of Science and Technology) Dmitry Kangin (University of Exeter) Emiliano Casalicchio (Blekinge Institute of Technology) Ethan Rudd (University of Colorado Colorado Springs) Hamid Ebadi (Chalmers University of Technology) Hanno Langweg (Konstanz University of Applied Sciences) Heri Ramampiaro (Norwegian University of Science and Technology) Martin Boldt (Blekinge Institute of Technology) Michael McGuire (Towson University) Olaf M. Maennel (Tallinn University of Technology) Pavel Gladyshev (Dublin School of Computer Science) Pierre Lison (Norwegian Computing Centre) *** PAPER SUBMISSION *** Our workshop invites authors to submit: full-length papers (up to ten pages), short papers (up to six pages) or abstract papers (up to three pages) through the online submission system: https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submitform.php?subarea… Papers have to follow the IEEE 2-column format and the Computer Society Proceedings Manuscript Formatting Guidelines. See formatting instructions here: https://www.ntnu.edu/iik/digital_forensics/ieee-bigdata-2017-formatting-ins… *** BEST PAPERS *** Selected papers are nominated for submission to “Special Issue on Cyber Threat Intelligence and Analytics”. Extended papers should have at least 60% of new material and will be sent through a review process to ensure the quality of contributions. *** CONTACTS*** If you have any questions, do not hesitate to contact Andrii Shalaginov (andrii.shalaginov(a)ntnu.no) and Jan William Johnsen (jan.w.johnsen(a)ntnu.no) Best regards, Andrii Shalaginov, on behalf of Katrin Franke and Jan William Johnsen Norwegian University of Science and Technology, Gjøvik, Norway

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Call For Papers: The 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention
by Andrii Shalaginov 10 Oct '17

10 Oct '17

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

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Special Issue on Parallel and Distributed Data Mining
by Massimo Cafaro 09 Oct '17

09 Oct '17

Special Issue on Parallel and Distributed Data Mining Information Sciences, Elsevier The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power. The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following. TOPICS OF INTEREST Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications Middleware for high-performance data mining on grid and cloud environments Benchmarking and performance studies of high-performance data mining applications Novel programming paradigms to support high-performance computing for data mining Performance models for high-performance data mining applications and middleware Programming models, tools, and environments for high-performance computing in data mining Map-reduce based parallel data mining algorithms Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Novel distributed data mining algorithms SUBMISSION GUIDELINES All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins) The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process. A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a…. IMPORTANT DATES Submission deadline: December 1th, 2017 First round notification: March 1th, 2018 Revised version due: May 1st, 2018 Final notification: June 1st, 2018 Camera-ready due: July 1st, 2018 Publication tentative date: October 2018 Guest editors: Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Italo Epicoco, Email: italo.epicoco(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it University of Salento, Italy - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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CFP: PRIVACY IN STATISTICAL DATABASES 2018 (PSD 2018), Springer LNCS, Valencia, Spain, Sep. 2018
by Joaquin Garcia-Alfaro 06 Oct '17

06 Oct '17

(apologies for cross-posting) PRIVACY IN STATISTICAL DATABASES 2018 (PSD 2018) ================================================ ** CALL FOR PAPERS: SUBMISSION DEADLINE MAY 27, 2018 ** Valencia, Spain, Sep. 26-28, 2018 http://unescoprivacychair.urv.cat/psd2018 1. AIMS AND GOALS ----------------- Privacy in statistical databases is about finding tradeoffs to the tension between the increasing societal and economical demand for accurate information and the legal and ethical obligation to protect the privacy of individuals and enterprises which are the respondents providing the statistical data. In the case of statistical databases, the motivation for respondent privacy is one of survival: statistical agencies or survey institutes cannot expect to collect accurate information from individual or corporate respondents unless these feel the privacy of their responses is guaranteed. Beyond respondent privacy, there are two additional privacy dimensions to be considered: privacy for the data owners (organizations owning or gathering the data, who would not like to share the data they have collected at great expense) and privacy for the users (those who submit queries to the database and would like their analyses to stay private). Co-utility has shown to provide sustainable solutions to user privacy. "Privacy in Statistical Databases 2018" (PSD 2018) is a conference sponsored and organized by the UNESCO Chair in Data Privacy (http://unescoprivacychair.urv.cat) with proceedings published by Springer-Verlag in Lecture Notes in Computer Science. The purpose of PSD 2018 is to attract world-wide, high-level research in statistical database privacy. PSD 2018 is a successor to PSD 2016 (Dubrovnik, Sep. 14-16, 2016 https://unescoprivacychair.urv.cat/psd2016/) PSD 2014 (Eivissa, Sep. 17-19, 2014, http://unescoprivacychair.urv.cat/psd2014/) PSD 2012 (Palermo, Sep. 26-28, 2012, http://unescoprivacychair.urv.cat/psd2012) PSD 2010 (Corfu, Sep. 22-24, 2010, http://unescoprivacychair.urv.cat/psd2010) PSD 2008 (Istanbul, Sep. 24-26, 2008, http://unescoprivacychair.urv.cat/psd2008) PSD 2006 (Rome, Dec. 13-15, 2006, http://crises-deim.urv.cat/psd2006) and PSD 2004 (Barcelona, June 9-11, 2004, http://crises-deim.urv.cat/psd2004) all with proceedings published by Springer in LNCS 9867, LNCS 8744, LNCS 7556, LNCS 6344, LNCS 5262, LNCS 4302 and LNCS 3050, respectively. Those eight PSD conferences follow a tradition of high-quality technical conferences on SDC which started with "Statistical Data Protection-SDP'98", held in Lisbon in 1998 and with proceedings published by OPOCE, and continued with the AMRADS project SDC Workshop, held in Luxemburg in 2001 and with proceedings published in Springer LNCS 2316. Like the aforementioned preceding conferences, PSD 2018 originates in Europe, but wishes to stay a worldwide event in database privacy and SDC. Thus, contributions and attendees from overseas are welcome. 2. ORGANIZATION --------------- PROGRAM COMMITTEE (TO BE CONFIRMED AND POSSIBLY WITH ADDITIONAL NAMES) Jane Bambauer (University of Arizona, USA) Bettina Berendt (KU Leuven, Belgium) Elisa Bertino (CERIAS, Purdue University, USA) Aleksandra Bujnowska (EUROSTAT, European Union) Jordi Castro (Polytechnical University of Catalonia) Anne-Sophie Charest (Université Laval, Québec, Canada) Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia) Joerg Drechsler (IAB, Germany) Khaled El Emam (University of Ottawa, Canada) Mark Elliot (Manchester University, UK) Sarah Giessing (Destatis, Germany) Sara Hajian (Eurecat Technology Center, Catalonia) Alan Karr (CoDA, RTI, USA) Julia Lane (New York University, USA) Bradley Malin (Vanderbilt University, USA) Laura McKenna (Census Bureau, USA) Gerome Miklau (University of Massachusetts-Amherst, USA) Krish Muralidhar (The University of Oklahoma, USA) Anna Oganyan (National Center for Health Statistics, USA) Christine O'Keefe (CSIRO, Australia) Jerry Reiter (Duke University, USA) Yosef Rinott (Hebrew University, Israel) Pierangela Samarati (University of Milan, Italy) David Sánchez (Universitat Rovira i Virgili, Catalonia) Eric Schulte Nordholt (Statistics Netherlands) Natalie Shlomo (University of Manchester, UK) Aleksandra Slavkovic (Penn State University, USA) Jordi Soria-Comas (Universitat Rovira i Virgili, Catalonia) Tamir Tassa (The Open University, Israel) Vicenc Torra (Skövde University, Sweden) Vassilios Verykios (Hellenic Open University, Greece) William E. Winkler (Census Bureau, USA) Peter-Paul de Wolf (Statistics Netherlands) PROGRAM CHAIR Josep Domingo-Ferrer (UNESCO Chair in Data Privacy, Universitat Rovira i Virgili, Catalonia) GENERAL CHAIR Francisco Montes Suay (Universitat de València, Spain) ORGANIZATION COMMITTEE Joaquin Garcia-Alfaro (Télécom SudParis, France) Jesus Manjón (Universitat Rovira i Virgili, Catalonia) Romina Russo (Universitat Rovira i Virgili, Catalonia) 3. TOPICS OF INTEREST --------------------- Topics of interest include but are not limited to: - New anonymization methods for tabular data - New anonymization methods for microdata (including non-conventional microdata types such as trajectories, graphs, etc.) - Best anonymization practices for tabular data - Best anonymization practices for microdata - Co-utility for privacy preservation - Big data anonymization - Streaming data anonymization - Decentralized anonymization - Balancing data quality and data confidentiality in SDC - Differential privacy and other privacy models - SDC transparency issues - Onsite access centers - Remote access facilities - SDC software - Estimating disclosure risk in SDC - Record linkage methods - Real-life disclosure scenarios in EU-member states and abroad - Privacy preserving data mining (both cryptographic and non-cryptographic) - Private information retrieval - Privacy in web-based e-commerce - Privacy in healthcare - Privacy in official and corporate statistics - Other data anonymization issues 4. SUBMISSIONS -------------- Full papers containing either original technical contributions or high-quality surveys on the above topics or on related topics are sought. Camera-ready versions of accepted papers should be prepared using the LaTeX2e style or the Word template of Springer Verlag Lecture Notes in Computer Science. For LaTeX2e, a macro package llncs.zip and an example file typeinst.zip can be downloaded from http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 For Microsoft Word, a template word.zip can be downloaded from the same page above. We encourage authors to use the above formats already for their submissions. The submission Web page for PSD 2018 is: https://easychair.org/conferences/?conf=psd2018 LENGTH OF SUBMISSIONS --------------------- Using the above format with 11 point font, the paper should be at most 12 pages excluding bibliography and appendices, and at most 16 pages total. Committee members are not required to read appendices; the paper should be intelligible without them. Submissions not meeting these guidelines risk rejection without consideration of their merits. 5. PROCEEDINGS -------------- Among PSD 2018 accepted papers, a selection will be made based on quality and coverage and the selected papers will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. This follows the tradition of the previous PSD conferences. The remaining accepted papers will be published in a CD with an ISBN. It is possible to submit a paper directly for the CD, which benefits from a later submission deadline (see CD-only dates below). The form of publication of an accepted paper will be clearly specified in the acceptance message. Both the LNCS volume and the CD will be *available at the conference*. 6. IMPORTANT DATES ------------------ Submission deadline: **MAY 27, 2018** Acceptance notification: June 29, 2018 Proceedings version due: July 9, 2018 Conference: Sep. 26-28, 2018 CD-only submission deadline: July 9, 2018 CD-only acceptance notification: July 30, 2018 CD-only proceedings version due: Aug. 10, 2018 7. VENUE AND TRAVEL ------------------- The conference will take place at the Botanical Garden of the Universitat de València, located in the old city of Valencia. http://www.jardibotanic.org/index.php?apid=presentacio-226 Further venue, travel and accomodation information will be posted in due course at http://unescoprivacychair.urv.cat/psd2018 A number of travel grants are made available by the UNESCO Chair in Data Privacy, especially for authors and delegates from transition countries. Information on grants is posted in the conference web site. 8. REGISTRATION --------------- Registration information will be posted no later than June 2018 at http://unescoprivacychair.urv.cat/psd2018

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[SIMPDA2017] Submission Deadline Approaching: October 14, 2017
by Fulvio Frati 05 Oct '17

05 Oct '17

** Submission Deadline Approaching: October 14, 2017 ** [Apologies if you receive multiple copies of this cfp] **************************************************************************** *** SIMPDA 2017 SEVENTH INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS 6-8 DECEMBER, 2017 - NEUCHATEL, SWITZERLAND http://simpda2017.di.unimi.it **************************************************************************** *** ## About SIMPDA With the increasing automation of business processes, growing amounts of process data become available. This opens new research opportunities for business process data analysis, mining and modeling. The aim of the IFIP 2.6 International Symposium on Data-Driven Process Discovery and Analysis is to offer a forum where researchers from different communities and the industry can share their insight in this hot new field. The Symposium will feature a number of keynotes illustrating advanced approaches, shorter presentations on recent research, a competitive PhD seminar and selected research and industrial demonstrations. This year the symposium will be held in Neuchatel. ###Call for Papers The IFIP International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017) offers a unique opportunity to present new approaches and research results to researchers and practitioners working in business process data modelling, representation and privacy-aware analysis. The symposium will bring together leading researchers, engineers and scientists from around the world. Full papers must not exceed 15 pages. Short papers are limited to at most 4 pages. All papers must be original contributions, not previously published or under review for publication elsewhere. All contributions must be written in English and must follow the LNCS Springer Verlag format. Templates can be downloaded from: http://www.springer.de/comp/lncs/authors.html Accepted papers will be published in a pre-proceeding volume of CEUR workshop series. The authors of the accepted papers will be invited to submit extended articles to a post-symposium proceedings volume which will be published in the LNBIP series (Lecture Notes in Business Information Processing, http://www.springer.com/series/7911) scheduled for late 2018 (extended papers length will be between 7000 and 9000 words). Around 10-15 papers will be selected for publication after a second round of review. ### Topics Topics of interest for submission include, but are not limited to: - Business Process Modeling languages, notations and methods - Lightweight Process Model - Data-aware and data-centric approaches - Process Mining with Big Data - Variability and configuration of process models - Process simulation and static analyses - Process data query languages - Process data mining - Privacy-aware process data mining - Process metadata and semantic reasoning - Process patterns and standards - Foundations of business process models - Resource management in business process execution - Process tracing and monitoring - Process change management and evolution - Business process lifecycle - Case studies and experience reports - Social process discovery - Crowdsourced process definition and discovery ### Workshop Format: In accordance to our historical tradition of proposing SIMPDA as a symposium, we propose an innovative format for this workshop: The number of sessions depend on the number of submissions but, considering the previous editions, we envisage to have four sessions, with 4-5 related papers assigned to each session. A special session (with a specific review process) will be dedicated to discuss research plan from PhD students. Papers are pre-circulated to the authors that will be expected to read all papers in advance but to avoid exceptional overhead, two are assigned to be prepared with particular care, making ready comments and suggestions. The bulk of the time during each session will be dedicated to open conversations about all of the papers in a given session, along with any linkages to the papers and discussions within an earlier session. The closing session (30 minutes), will include a panel about open challenges during which every participant will be asked to assemble their thoughts/project ideas/goals/etc that they got out of the workshop. ### Call for PhD Research Plans The SIMPDA PhD Seminar is a workshop for Ph.D. students from all over the world. The goal of the Seminar is to help students with their thesis and research plans by providing feedback and general advice on how to use their research results. Students interested in participating in the Seminar should submit an extended abstract describing their research. Submissions can relate to any aspect of Process Data: technical advances, usage and impact studies, policy analyses, social and institutional implications, theoretical contributions, interaction and design advances, innovative applications, and social implications. Research plans should be at most of 5 page long and should be organised following the following structure: - Abstract: summarises, in 5 line, the research aims and significance. - Research Question: defines what will be accomplished by eliciting the relevant the research questions. - Background: defines the background knowledge providing the 5 most relevant references (papers or books). - Significance: explains the relevance of the general topic and of the specific contribution. - Research design and methods: describes and motivates the method adopted focusing on: assumptions, solutions, data sources, validation of results, limitations of the approach. - Research stage: describes what the student has done so far. ### SIMPDA PhD award A doctoral award will be given by the SIMPDA PhD Jury to the best research plan submitted. Student Scholarships An application for a limited number of scholarships aimed at students coming from emerging countries has been submitted to IFIP. In order to apply, please contact paolo.ceravolo(a)unimi.it ### CALL for Demonstrations and Posters Demonstrations showcase innovative technology and applications, allowing for sharing research work directly with colleagues in a high-visibility setting. Demonstration proposals should consist of a title, an extended abstract, and contact information for the authors, and should not exceed 10 pages. Posters allow the presentation of late-breaking results in an informal, interactive manner. Poster proposals should consist of a title, an extended abstract, contact information for the authors, and should not exceed 2 pages. Accepted demonstrations and posters will be presented at the symposium. Abstracts will appear in the proceedings. ### Important Dates - Paper Submission: 14 October 2017 - Submission of PhD Presentations: 14 October 2017 - Notification of Acceptance: 19 November 2017 - Submission of Camera Ready Papers: 28 November 2017 - Second International Symposium on Process Data: 6-8 December 2017 - Post-proceeding submissions: 30 March 2018 ## Keynote Speakers * Enabling largely automated social media analytics * Karl Aberer Distributed Information Systems Laboratory (LSIR), EPFL In this talk we will report on our recent advances in automating the analysis of social media data. We first will review our recent work on a platform for analysing social media data in terms of topics discussed, communities and their influencers. This platform has been successfully used in a number of practical use case. When using the platform we identified the creation of domain-specific taxonomies as the main bottleneck in the analysis process. To tackle this issue we developed a novel method for taxonomy induction from domain-specific document corpora. In the second part of the talk we will discuss this method and some of the novel ideas that enabled us to produce high quality domain-specific taxonomies on the fly. ## Organizers ### CHAIRS - Paolo Ceravolo, Università degli Studi di Milano, Italy - Maurice van Keulen, University of Twente, The Netherlands - Kilan Stoffel, University of Neuchatel, Switzerland ### ADVISORY BOARD - Ernesto Damiani, Università degli Studi di Milano, Italy - Erich Neuhold, University of Vienna, Austria - Philippe Cudré-Mauroux , University of Fribourg, Switzerland - Robert Meersman, Graz University of Technology, Austria - Wilfried Grossmann, University of Vienna, Austria ### Program Committee - Akhil Kumar, Penn State University, USA - Benoit Depaire, University of Hasselt, Belgium - Chintan Mrit, University of Twente, The Netherlands - Christophe Debruyne, Trinity College Dublin, Ireland - Ebrahim Bagheri, Ryerson University, Canada - Edgar Weippl, TU Vienna, Austria - Fabrizio Maria Maggi, University of Tartu, Estonia - George Spanoudakis, City University London, UK - Haris Mouratidis, University of Brighton, UK - Isabella Seeber, University of Innsbruck, Austria - Jan Mendling, Vienna University of Economics and Business, Austria - Josep Carmona, UPC - Barcelona, Spain - Kristof Boehmer, University of Vienna, Austria - Manfred Reichert, Ulm University, Germany - Marcello Leida, TAIGER, Spain - Mark Strembeck, WU Vienna, Austria - Massimiliano De Leoni, Eindhoven TU, Netherlands - Matthias Weidlich, Imperial College, UK - Mazak Alexandra, University of Vienna, Austria - Mohamed Mosbah, University of Bordeaux - Mustafa Jarrar, Birzeit University, Palestine - Robert Singer, FH Joanneum, Austria - Roland Rieke, Fraunhofer SIT, Germany - Schahram Dustdar, Vienna University of Technology, Austria - Thomas Vogelgesang, University of Oldenburg, Germany - Valentina Emilia Balas, University of Arad, Romania - Wil Van der Aalst, Technische Universiteit Eindhoven, The Netherlands

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Unsubscribe message
by list.master＠lists.iccsa.org 02 Oct '17

02 Oct '17

Some of you may have seen a message sent yesterday, about being unsubscribed from the mailing list. The message was sent in error. Please ignore it. Thank you.

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CFP Second Tutorial on the SARL Agent Programming Language
by stephane.galland＠utbm.fr 02 Oct '17

02 Oct '17

Second Tutorial on the SARL Agent Programming Language http://www.multiagent.fr/Conferences:TutorialSARL18 http://cs-conferences.acadiau.ca/ant-18/#tutorial The 9th International Conference on Ambient Systems, Networks and Technologies (ANT-2018) http://cs-conferences.acadiau.ca/ant-18/ May 08-11, 2018 Porto, Portugal Research on Agents and Multi-Agent Systems has matured during the last decade and many effective applications of this technology are now deployed. SARL aims at providing the fundamental abstractions for dealing with concurrency, distribution, interaction, decentralization, reactivity, autonomy and dynamic reconfiguration. These high-level features are now considered as the major requirements for an easy and practical implementation of modern complex software applications. We are convinced that the agent-oriented paradigm holds the keys to effectively meet this challenge. Considering the variety of existing approaches and meta-models in the field of agent-oriented engineering and more generally multi-agent systems, our approach remains as generic as possible and highly extensible to easily integrate new concepts and features. The SARL Tutorial 2018 provides introduction and explanation the modeling and implementation of multiagent systems with the SARL agent programming language. The tutorial session will be held in Porto, Portugal (08-11 May 2018) during the 9th International Conference on Ambient Systems, Networks, and Technologies (ANT 2018). The exact date will be provided into the ANT-28 program. ==== Tutorial Outline ==== The following points will be treated duing the tutorial. - Genesis of SARL. - Basic Concepts (Agent, Event, Space, Behavior) with simple examples. - Using Agent Communication Language with SARL - Doing simulation with SARL: traffic and drone simulation examples. - Major installation guidelines The duration of the tutorial is 1:30. Online resources: http://www.sarl.io ==== Tutorial Chairs ==== Stéphane GALLAND <stephane.galland(a)utbm.fr>, Burgundy Franche-Comte University, France Nicolas GAUD <nicolas.gaud(a)utbm.fr>, Burgundy Franche-Comte University, France Sebastian RODRIGUEZ <sebastian.rodriguez(a)gitia.org>, Universidad Technologica National, Argentina

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CFP Second International Workshop on Agent-based Modeling and Applications with SARL
by stephane.galland＠utbm.fr 02 Oct '17

02 Oct '17

Second International Workshop on Agent-based Modeling and Applications with SARL (SARL-18) http://www.multiagent.fr/Conferences:SARL18 http://cs-conferences.acadiau.ca/ant-18/#workshop_approved The 9th International Conference on Ambient Systems, Networks and Technologies (ANT-2018) http://cs-conferences.acadiau.ca/ant-18/ May 08-11, 2018 Porto, Portugal * Important Dates * =================== - Submission deadline: December 15, 2017 - Notification: February 5, 2018 - Final date for camera-ready copy: March 5, 2018 - Workshop: May 8-10, 2018 Research on Agents and Multi-Agent Systems has matured during the last decade and many effective applications of this technology are now deployed. SARL-18 provides an international forum to present and discuss the latest scientific developments and their effective applications, to assess the impact of the approach, and to facilitate technology transfer. SARL-18 borns with the SARL agent programming language, but the scientific results presented in SARL-18 are not restricted to SARL; other languages and agent platforms may be concerned by the proposed papers. SARL aims at providing the fundamental abstractions for dealing with concurrency, distribution, interaction, decentralization, reactivity, autonomy and dynamic reconfiguration. These high-level features are now considered as the major requirements for an easy and practical implementation of modern complex software applications. We are convinced that the agent-oriented paradigm holds the keys to effectively meet this challenge. Considering the variety of existing approaches and meta-models in the field of agent-oriented engineering and more generally multi-agent systems, our approach remains as generic as possible and highly extensible to easily integrate new concepts and features. The goal of SARL-18 is to provides a place where the different points of view on the modeling and the simulation with agent platforms and agent programming languages may be discussed. Tutorial sessions for introducing and explaining the modeling and implementation of multiagent systems with SARL will be organized during the workshop. The authors may contribute to the SARL-18 workshop by providing a paper or a tutorial. For submitting a tutorial, the authors must send a summary of the tutorial on 4 to 6 pages. SARL-18 will be held in Porto, Portugal (08-11 May 2018) in conjunction with the 9th International Conference on Ambient Systems, Networks, and Technologies (ANT 2018). Topics ====== The main topics of the SARL-18 workshop are (but not restricted to): - Methods and Models: - Agent based Modeling and Simulation - Agent programming language - Agent based Simulation - Agent oriented analysis and design methods - Ontologies and theories about large urban systems - Formal models of agent-based simulation - Organizational models - Applications: - Traffic/Transport - Crowds - Smard grids and smart buildings - Land-Use - Energy ORGANIZATION COMMITTEE ====================== Stéphane GALLAND <stephane.galland(a)utbm.fr>, Burgondy Franche-Comte University, France Nicolas GAUD <nicolas.gaud(a)utbm.fr>, Burgondy Franche-Comte University, France Sebastian RODRIGUEZ <sebastian.rodriguez(a)gitia.org>, Universidad Technologica National, Argentina

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Recruitment - Postdoc / Research Fellow on Cyber-Physical Security at SUTD, Singapore
by Jianying Zhou 02 Oct '17

02 Oct '17

Singapore University of Technology and Design (SUTD) is a young university which was established in collaboration with MIT. iTrust is a Cyber Security Research Center with about 15 multi-discipline faculty members from SUTD. 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 postdocs / research fellows with expertise on cyber-physical system security, especially on the legacy CPS protection. The candidates should have track record of strong R&D capability, be able to perform deep system-level investigations of security mechanisms, be a good team player, and also have good written/oral communication skills. The position will provide an excellent opportunity to perform both basic and translational research in close collaboration with industry. Successful candidates will be offered internationally competitive remuneration, and enjoy high-quality living and low tax rates in Singapore. 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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IEEE HiPC 2017 - Student Research Symposium, DDDSS Workshop Deadlines Extended & Keynotes Announced
by Anand Panangadan 01 Oct '17

01 Oct '17

Release: 26 September 2017 - STUDENT RESEARCH SYMPOSIUM (SRS) Submission deadline extended to September 30 - Workshop on Dynamic Data Driven Smart Systems (DDDSS) Submission deadline extended to October 15 - KEYNOTE SPEAKERS ANNOUNCED - CONFERENCE PROGRAM ------------------------------------------------------------ ------------------------------------ 24th IEEE International Conference on High Performance Computing, Data, and Analytics HiPC 2017 December 18-21, 2017 Jaipur, India http://www.hipc.org https://twitter.com/hipcconf https://www.facebook.com/hipc.conference/ https://plus.google.com/+HipcOrg ------------------------------------------------------------ ------------------------------------ 10th HiPC Student Research Symposium (SRS) HiPC 2017 will feature the 10th Student Research Symposium on High Performance Computing, Data, and Analytics (HPC) aimed at stimulating and fostering student research, and providing an international forum to highlight student research accomplishments. The symposium will also provide exposure to students in the best practices in HPC in academia and industry. The Conference Reception and multiple Student Symposium Poster Exhibit sessions will provide an opportunity for students to interact with HPC researchers and practitioners (and recruiters) from academia and industry. Papers are solicited in all areas of high-performance computing, data, and analytics. Awards for Best Poster will be presented at the symposium. IMPORTANT DATES Sep 30, 2017 - Submission Deadline (Extended) See the SRS Call for Papers page at http://hipc.org/student- research-symposium/ ------------------------------------------------------------ ------------------------------------ Workshop on Dynamic Data Driven Smart Systems (DDDSS) http://hipc.org/dynamic-data-driven-smart-systems-workshop/ ------------------------------------------------------------ ------------------------------------ We invite original articles, position papers, and short presentations on research that explores *systems, algorithms, applications, and support areas* related to InfoSymbiotics/DDDAS for emerging technologies. Participants are encouraged to submit papers on topics including, but not limited to: - Coordinated control frameworks in IoT and Smart Systems - Tracking methods and situational awareness - Security, authentication, and privacy in smart systems - Dynamic energy and energy-aware systems - Earth and space systems and environments - Structural and process monitoring applications - Assimilation and uncertainty quantification The papers accepted for presentation in HiPC 2017 workshops will be included in the workshops volume of the proceedings of the conference, which will be distributed online in two volumes with a separate ISBN for the workshops (HiPCW 2017). Post conference, papers presented at the conference and eligible for inclusion will be submitted to the IEEE Xplore Digital Library. Selected papers will be invited for publication in a special issue of the Journal of Cluster Computing. ------------------------------------------------------------ ------------------------------------ ****HiPC 2017 KEYNOTE SPEAKERS ANNOUNCED**** ------------------------------------------------------------ ------------------------------------ Parthasarathy Ranganathan (Distinguished Engineer, Google) Topic: End of Moore’s Law: Or, a computer architect’s mid-life crisis? Rajeev Rastogi (Director of Machine Learning, Amazon) Topic: Machine Learning @ Amazon Ian Foster (Professor of Computer Science, University of Chicago; Senior Scientist and Distinguished Fellow, Argonne National Lab) Topic: Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales ------------------------------------------------ HiPC 2017 CONFERENCE PROGRAM ------------------------------------------------ The conference technical program will showcase three keynote speakers and three days of single track presentations of peer reviewed papers from all over the world. The full program will include workshops and special plenary sessions covering Machine Learning & Mathematical Modeling and HPC Initiatives in India. The conference encourages industry participation in the main technical program and workshops, as well as the Industry, Research and User Symposium (IRUS) and vendor exhibition. On days 2 and 3, there will be a full program of industry exhibits and events. Various sponsorship opportunities are available as described at the the conference website. Titanium and Platinum sponsors are also provided a forum to drive Industry BOF sessions. ------------------------------------------------ HiPC 2017 ORGANIZATION ------------------------------------------------ General Co-Chairs: Chiranjib Sur, Shell, India Yinglong Xia, Huawei Research America, USA Steering Committee Chair: Viktor K. Prasanna, University of Southern California, USA Vice General Chairs: Kishore Kothapalli, IIIT-Hyderabad, India Anand Panangadan, California State University, Fullerton, USA Program Chair Ümit V. Çatalyürek, Georgia Institute of Technology, USA Program Vice-Chairs Algorithms: Olivier Beaumont, INRIA, France Applications: Ananth Kalyanaraman, Washington State University, USA Architecture: Yuan Xie, University of California at Santa Barbara, USA System Software: Gagan Agrawal, The Ohio State University, USA Industry Liaison Co-Chairs: Rama Govindaraju, Google, USA Jigar Halani, Wipro, India Vivek Yadav, FullStackNet, India Workshops Co-Chairs: Manish Parashar, Rutgers University, USA Saumil Merchant, Shell, India Student Research Symposium Co-Chairs: Kishore Kothapalli, IIIT-Hyderabad, India Madhura Purnaprajna, Amrita University, India Ashok Srinivasan, Florida State University, USA Industry, Research, and User Symposium Co-Chairs: R. Badrinath, Ericcson, India Seetha Rama Krishna Nookala, Intel, India Indian Academia Liaisons Chair: Yogesh Simmhan, IISc, Bangalore, India Proceedings Chair: Ren Chen, University of Southern California, USA Publicity Chairs: Anand Panangadan, California State University, Fullerton, USA Ravindra Sure, IBM, India ------------------------------------------------ HiPC 2017 SPONSORSHIP ------------------------------------------------ See details for Industry Sponsorship at http://hipc.org/sponsorship- levels-how-to/ ------------------------------------------------------------ ------------------- HiPC 2017 is co-sponsored by •IEEE Computer Society Technical Committee on Parallel Processing (TCPP) •HiPC Education Trust, India In cooperation with •ACM Special Interest Group on Algorithms and Computation Theory (SIGACT) •ACM Special Interest Group on Computer Architecture (SIGARCH) •FIP Working Group on Concurrent Systems •Manufacturers' Association for Information Technology (MAIT) •National Association of Software and Service Companies (NASSCOM) ------------------------------------------------------------ ------------------------------------

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FPS 2017: Call for Participation
by Abdessamad Imine 01 Oct '17

01 Oct '17

(Apologies for multiple copies) CALL FOR PARTICIPATION ********************************************************************************** The 10th International Symposium on Foundations & Practice of Security (FPS 2017) October 23-24-25, 2017 Nancy, France Website: http://fps2017.loria.fr/ ********************************************************************************** List of accepted papers: ----------------------- http://fps2017.loria.fr/accepted-papers/ Conference program: ------------------- http://fps2017.loria.fr/program/ Online registration: -------------------- http://fps2017.loria.fr/registration/ Scope: ------ Protecting the communication and data infrastructure of an increasingly inter-connected world has become vital to the normal functioning of all aspects of our world. Security has emerged as an important scientific discipline whose many multifaceted complexities deserve the attention and synergy of the mathematical, computer science and engineering communities. After the previous meetings held in La Rochelle, Montreal, Grenoble, Toronto, Paris, Clermont-Ferrand and Quebec city, this 10th edition of the FPS symposium will be held in Nancy, France. The aim of FPS is to discuss and exchange theoretical and practical ideas that address security issues in inter-connected systems. It aims to provide scientific presentations as well as to establish links, promote scientific collaboration, joint research programs, and student exchanges between institutions involved in this important and fast moving research field. We also invite papers from researchers and practitioners working in security, privacy, trustworthy data systems and related areas to submit their original papers. The main topics, but not limited to, include: * Computer and Network Security * Formal foundations in Information or Operational Security * Security of Service Oriented Architectures * Information Theoretic Security * Security of Cloud Computing * Security Management and Security Policies * Policy-based Security Architectures * Security of P2P systems * Security & Privacy on Social Networks * Access Control Languages * Data Mining & Watermarking * Cryptography & Cryptanalysis * Threat Analysis and Trust Management * Privacy & Sensitive Data Management * Policy-based Distributed Information Systems * Security in Sensor Networks and RFIDs * Security of Cloud Computing, Grid Computing * Security of Distributed Embedded Middleware * Distributed Security Protocols & Policies * Security and Privacy in Digital Currencies * Malware, Botnet and Advanced Persistent Threats * Code Reverse Engineering and Vulnerability Exploitation * Side Channel & Physical Attacks * Social Engineering * Security of Big-Data Committees: ------------ General Chairs: - Luigi Logrippo (Université du Québec en Outaouais, Canada) - Jean-Yves Marion (Mines de Nancy, France) PC Chairs: - José M. Fernandez (Polytechnique Montréal, Canada) - Abdessamad Imine (Université de Lorraine, Nancy, France) Publications Chair: - Joaquin Garcia-Alfaro (Telecom SudParis, France) Publicity Chairs: - Pascal Lafourcade (Université d’Auvergne, France) - Nur Zincir-Heywood (Dalhousie University, Canada) Program Committee: - Esma Aimeur (University of Montreal, Canada) - Jeremy Clark (Concordia University, Canada) - Frédéric Cuppens (IMT Atlantique, France) - Nora Cuppens (IMT Atlantique, France) - Jean-Luc Danger (Télécom Paris-Tech, France) - Mourad Debbabi (Concordia University, Canada) - Josée Desharnais (Laval University, Canada) - Josep Domingo-Ferrer (Universitat Rovira i Virgili, Spain) - Samuel Dubus (NOKIA Bell Labs, France) - Sébastien Gambs (Université du Québec à Montréal, Canada) - Joaquin Garcia-Alfaro (Telecom SudParis, France) - Dieter Gollmann (Hamburg University of Technology, Germany) - Sushil Jajodia (George Mason University, USA) - Martin Johns (SAP Research, Germany) - Bruce Kapron (University of Victoria, Canada) - Nizar Kheir (THALES, France) - Raphaël Khoury (Université du Québec à Chicoutimi, Canada) - Hyoungshick Kim (Sungkyunkwan University, Republic of Korea) - Igor Kotenko (SPIIRAS, Russia) - Evangelos Kranakis (Carleton University Computer Science, Canada) - Pascal Lafourcade (Université d'Auvergne, France) - Luigi Logrippo (Université du Québec en Outaouais, Canada) - Javier Lopez (University of Malaga, Spain) - Jean-Yves Marion (Mines de Nancy, France) - Fabio Martinelli (National Research Council of Italy (CNR), Italy) - Paliath Narendran (University at Albany, USA) - Guillermo Navarro-Arribas (Universitat Autonoma de Barcelona, Spain) - Jun Pang (University of Luxembourg, Luxembourg) - Marie-Laure Potet (VERIMAG, France) - Silvio Ranise (FBK, Security and Trust Unit, Italy) - Indrakshi Ray (Colorado State University, USA) - Michaël Rusinowitch (LORIA-INRIA Nancy, France) - Basit Shafiq (Lahore University of Management Sciences, Pakistan) - Anna Squicciarini (Pennsylvania State University, USA) - Natalia Stakhanova (University of New Brunswick, Canada) - Chamseddine Talhi (École de Technologie Supérieure, Canada) - Nadia Tawbi (Université Laval, Canada) - Rakesh Verma (University of Houston, USA) - Lingyu Wang (Concordia University, Canada) - Edgar Weippl (SBA Research, Austria) - Lena Wiese (Georg-August Universität Göttingen, Germany) - Xun Yi (RMIT University, Australia) - Nur Zincir-Heywood (Dalhousie University, Canada) - Mohammad Zulkernine (Queen's University, Canada)

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Special Issue on Parallel and Distributed Data Mining
by Massimo Cafaro 28 Sep '17

28 Sep '17

Special Issue on Parallel and Distributed Data Mining Information Sciences, Elsevier The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power. The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following. TOPICS OF INTEREST Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications Middleware for high-performance data mining on grid and cloud environments Benchmarking and performance studies of high-performance data mining applications Novel programming paradigms to support high-performance computing for data mining Performance models for high-performance data mining applications and middleware Programming models, tools, and environments for high-performance computing in data mining Map-reduce based parallel data mining algorithms Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Novel distributed data mining algorithms SUBMISSION GUIDELINES All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins) The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process. A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a…. IMPORTANT DATES Submission deadline: December 1th, 2017 First round notification: March 1th, 2018 Revised version due: May 1st, 2018 Final notification: June 1st, 2018 Camera-ready due: July 1st, 2018 Publication tentative date: October 2018 Guest editors: Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Italo Epicoco, Email: italo.epicoco(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it University of Salento, Italy - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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Special Issue on Parallel and Distributed Data Mining
by Massimo Cafaro 22 Sep '17

22 Sep '17

Special Issue on Parallel and Distributed Data Mining Information Sciences, Elsevier The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power. The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following. TOPICS OF INTEREST Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications Middleware for high-performance data mining on grid and cloud environments Benchmarking and performance studies of high-performance data mining applications Novel programming paradigms to support high-performance computing for data mining Performance models for high-performance data mining applications and middleware Programming models, tools, and environments for high-performance computing in data mining Map-reduce based parallel data mining algorithms Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Novel distributed data mining algorithms SUBMISSION GUIDELINES All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins) The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process. A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a…. IMPORTANT DATES Submission deadline: December 1th, 2017 First round notification: March 1th, 2018 Revised version due: May 1st, 2018 Final notification: June 1st, 2018 Camera-ready due: July 1st, 2018 Publication tentative date: October 2018 Guest editors: Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Italo Epicoco, Email: italo.epicoco(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it University of Salento, Italy - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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CFP The Complexity journal special issue -- Social Big Data: Mining, Applications and Beyond
by Xiuzhen Jenny Zhang 21 Sep '17

21 Sep '17

============= Complexity (Impact Factor 4.621) Special Issue on Social Big Data: Mining, Applications and Beyond Submission deadline: Friday 29 December 2017 Publication date: May 2018 Online CFP: https://www.hindawi.com/journals/complexity/si/148573/cfp/ Journal URL: https://www.hindawi.com/journals/complexity/ ============ The social nature of Web 2.0 leads to the unprecedented growth of social media sites such as discussion forums, product review sites, microblogging, social networking and social curation. Existing research in social media data mining has focused on techniques for extracting information for specific applications from separate social media sources. The mobile network and the Internet of Things are transforming what is means to be social online. Humans, everyday objects and smart devices interact and form an intelligent social network that is a highly adaptive complex system. Assisted by personal devices, people can access real-time traffic, weather and news event information and exchange such information through social interaction and form communities dynamically. The rich user- and device-generated data and user interactions generate complex social big data that is different from classical structured attribute-value data. The data objects take various forms including unstructured text, geo-tagged data objects and data object streams. The social networks formed from interactions among data objects also carry rich information for analyzing user behavior. Such complex social big data calls for cross disciplinary research from data mining, machine learning, pervasive and ubiquitous computing, network science, and computational social science. We seek contributions to advance our knowledge in social big data mining and analytics and extend the knowledge to related disciplines. We especially welcome methodological papers that address the data complexity and application papers that promote wider and deeper applications of social media data. Potential topics include, but are not limited to: • Personal device and content integrated social data mining • Mining dynamic complex social networks of humans and devices • Mining heterogeneous streams of social media data objects from humans and devices • Spatiotemporal analysis of social data and social networks • Privacy preserving social data mining • Social influence and community discovery in dynamic social networks • Social data mining for community-based recommendation and other applications • Trust and information credibility analysis of social media data • Mining for user social influence and communities in complex social networks of humans and devices • Mining social data for smart cities and smart nations • Humans as sensors for event detection and disaster management • Sentiment analysis and opinion mining for social good • Detection of opinion spam, illicit behavior and anomalies in social media • Social media data mining for public health and healthcare Papers are published upon acceptance, regardless of the Special Issue publication date. SUBMISSION Authors must submit their papers online at https://mts.hindawi.com/submit/journals/complexity/sbdmab/ Authors are welcome to discuss their potential submissions with the editors by sending an email to Xiuzhen Zhang (xiuzhen.zhang(a)rmit.edu.au) regarding the fit of their paper for this special issue. GUEST EDITORS Xiuzhen Zhang, RMIT University, Melbourne, Australia; xiuzhen.zhang(a)rmit.edu.au Shuliang Wang, Beijing Institute of Technology, Beijing, China; slwang(a)bit.edu.cn Gao Cong, Nanyang Technological University, Singapore; gaocong(a)ntu.edu.sg

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[SIMPDA2017] Submission Deadline Extended: October 14, 2017
by Fulvio Frati 21 Sep '17

21 Sep '17

** Submission Deadline Extended: October 14, 2017 ** [Apologies if you receive multiple copies of this cfp] **************************************************************************** *** SIMPDA 2017 SEVENTH INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS 6-8 DECEMBER, 2017 - NEUCHATEL, SWITZERLAND http://simpda2017.di.unimi.it **************************************************************************** *** ## About SIMPDA With the increasing automation of business processes, growing amounts of process data become available. This opens new research opportunities for business process data analysis, mining and modeling. The aim of the IFIP 2.6 International Symposium on Data-Driven Process Discovery and Analysis is to offer a forum where researchers from different communities and the industry can share their insight in this hot new field. The Symposium will feature a number of keynotes illustrating advanced approaches, shorter presentations on recent research, a competitive PhD seminar and selected research and industrial demonstrations. This year the symposium will be held in Neuchatel. ###Call for Papers The IFIP International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017) offers a unique opportunity to present new approaches and research results to researchers and practitioners working in business process data modelling, representation and privacy-aware analysis. The symposium will bring together leading researchers, engineers and scientists from around the world. Full papers must not exceed 15 pages. Short papers are limited to at most 4 pages. All papers must be original contributions, not previously published or under review for publication elsewhere. All contributions must be written in English and must follow the LNCS Springer Verlag format. Templates can be downloaded from: http://www.springer.de/comp/lncs/authors.html Accepted papers will be published in a pre-proceeding volume of CEUR workshop series. The authors of the accepted papers will be invited to submit extended articles to a post-symposium proceedings volume which will be published in the LNBIP series (Lecture Notes in Business Information Processing, http://www.springer.com/series/7911) scheduled for late 2018 (extended papers length will be between 7000 and 9000 words). Around 10-15 papers will be selected for publication after a second round of review. ### Topics Topics of interest for submission include, but are not limited to: - Business Process Modeling languages, notations and methods - Lightweight Process Model - Data-aware and data-centric approaches - Process Mining with Big Data - Variability and configuration of process models - Process simulation and static analyses - Process data query languages - Process data mining - Privacy-aware process data mining - Process metadata and semantic reasoning - Process patterns and standards - Foundations of business process models - Resource management in business process execution - Process tracing and monitoring - Process change management and evolution - Business process lifecycle - Case studies and experience reports - Social process discovery - Crowdsourced process definition and discovery ### Workshop Format: In accordance to our historical tradition of proposing SIMPDA as a symposium, we propose an innovative format for this workshop: The number of sessions depend on the number of submissions but, considering the previous editions, we envisage to have four sessions, with 4-5 related papers assigned to each session. A special session (with a specific review process) will be dedicated to discuss research plan from PhD students. Papers are pre-circulated to the authors that will be expected to read all papers in advance but to avoid exceptional overhead, two are assigned to be prepared with particular care, making ready comments and suggestions. The bulk of the time during each session will be dedicated to open conversations about all of the papers in a given session, along with any linkages to the papers and discussions within an earlier session. The closing session (30 minutes), will include a panel about open challenges during which every participant will be asked to assemble their thoughts/project ideas/goals/etc that they got out of the workshop. ### Call for PhD Research Plans The SIMPDA PhD Seminar is a workshop for Ph.D. students from all over the world. The goal of the Seminar is to help students with their thesis and research plans by providing feedback and general advice on how to use their research results. Students interested in participating in the Seminar should submit an extended abstract describing their research. Submissions can relate to any aspect of Process Data: technical advances, usage and impact studies, policy analyses, social and institutional implications, theoretical contributions, interaction and design advances, innovative applications, and social implications. Research plans should be at most of 5 page long and should be organised following the following structure: - Abstract: summarises, in 5 line, the research aims and significance. - Research Question: defines what will be accomplished by eliciting the relevant the research questions. - Background: defines the background knowledge providing the 5 most relevant references (papers or books). - Significance: explains the relevance of the general topic and of the specific contribution. - Research design and methods: describes and motivates the method adopted focusing on: assumptions, solutions, data sources, validation of results, limitations of the approach. - Research stage: describes what the student has done so far. ### SIMPDA PhD award A doctoral award will be given by the SIMPDA PhD Jury to the best research plan submitted. Student Scholarships An application for a limited number of scholarships aimed at students coming from emerging countries has been submitted to IFIP. In order to apply, please contact paolo.ceravolo(a)unimi.it ### CALL for Demonstrations and Posters Demonstrations showcase innovative technology and applications, allowing for sharing research work directly with colleagues in a high-visibility setting. Demonstration proposals should consist of a title, an extended abstract, and contact information for the authors, and should not exceed 10 pages. Posters allow the presentation of late-breaking results in an informal, interactive manner. Poster proposals should consist of a title, an extended abstract, contact information for the authors, and should not exceed 2 pages. Accepted demonstrations and posters will be presented at the symposium. Abstracts will appear in the proceedings. ### Important Dates - Paper Submission: 14 October 2017 - Submission of PhD Presentations: 14 October 2017 - Notification of Acceptance: 19 November 2017 - Submission of Camera Ready Papers: 28 November 2017 - Second International Symposium on Process Data: 6-8 December 2017 - Post-proceeding submissions: 30 March 2018 ## Keynote Speakers * Enabling largely automated social media analytics * Karl Aberer Distributed Information Systems Laboratory (LSIR), EPFL In this talk we will report on our recent advances in automating the analysis of social media data. We first will review our recent work on a platform for analysing social media data in terms of topics discussed, communities and their influencers. This platform has been successfully used in a number of practical use case. When using the platform we identified the creation of domain-specific taxonomies as the main bottleneck in the analysis process. To tackle this issue we developed a novel method for taxonomy induction from domain-specific document corpora. In the second part of the talk we will discuss this method and some of the novel ideas that enabled us to produce high quality domain-specific taxonomies on the fly. ## Organizers ### CHAIRS - Paolo Ceravolo, Università degli Studi di Milano, Italy - Maurice van Keulen, University of Twente, The Netherlands - Kilan Stoffel, University of Neuchatel, Switzerland ### ADVISORY BOARD - Ernesto Damiani, Università degli Studi di Milano, Italy - Erich Neuhold, University of Vienna, Austria - Philippe Cudré-Mauroux , University of Fribourg, Switzerland - Robert Meersman, Graz University of Technology, Austria - Wilfried Grossmann, University of Vienna, Austria ### Program Committee - Akhil Kumar, Penn State University, USA - Benoit Depaire, University of Hasselt, Belgium - Chintan Mrit, University of Twente, The Netherlands - Christophe Debruyne, Trinity College Dublin, Ireland - Ebrahim Bagheri, Ryerson University, Canada - Edgar Weippl, TU Vienna, Austria - Fabrizio Maria Maggi, University of Tartu, Estonia - George Spanoudakis, City University London, UK - Haris Mouratidis, University of Brighton, UK - Isabella Seeber, University of Innsbruck, Austria - Jan Mendling, Vienna University of Economics and Business, Austria - Josep Carmona, UPC - Barcelona, Spain - Kristof Boehmer, University of Vienna, Austria - Manfred Reichert, Ulm University, Germany - Marcello Leida, TAIGER, Spain - Mark Strembeck, WU Vienna, Austria - Massimiliano De Leoni, Eindhoven TU, Netherlands - Matthias Weidlich, Imperial College, UK - Mazak Alexandra, University of Vienna, Austria - Mohamed Mosbah, University of Bordeaux - Mustafa Jarrar, Birzeit University, Palestine - Robert Singer, FH Joanneum, Austria - Roland Rieke, Fraunhofer SIT, Germany - Schahram Dustdar, Vienna University of Technology, Austria - Thomas Vogelgesang, University of Oldenburg, Germany - Valentina Emilia Balas, University of Arad, Romania - Wil Van der Aalst, Technische Universiteit Eindhoven, The Netherlands

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[Final Extension] [CFP] The 8th DataCloud 2017 Workshop @SC17
by Li, Tonglin 20 Sep '17

20 Sep '17

We apologize if you receive multiple copies of this CFP. This is the final extension to the submission deadline. DataCloud 2017: The Eighth International Workshop on Data-Intensive Computing in the Clouds Denver, CO, USA, November 12, 2017 Conference website https://sites.google.com/view/2017datacloud/home Submission link https://easychair.org/conferences/?conf=datacloud2017 Submission deadline (final extension) October 1, 2017 Applications and experiments in all areas of science are becoming increasingly complex and more demanding in terms of their computational and data requirements. Some applications generate data volumes reaching hundreds of terabytes and even petabytes. As scientific applications become more data intensive, the management of data resources and data flow between the storage and compute resources is becoming the main bottleneck. Analyzing, visualizing, and disseminating these large data sets has become a major challenge and data intensive computing is now considered as the “fourth paradigm” in scientific discovery after theoretical, experimental, and computational science. The eighth international workshop on Data-intensive Computing in the Clouds (DataCloud 2017) will provide the scientific community a dedicated forum for discussing new research, development, and deployment efforts in running data-intensive computing workloads on Cloud Computing infrastructures. The DataCloud 2017 workshop will focus on the use of cloud-based technologies to meet the new data intensive scientific challenges that are not well served by the current supercomputers, grids or compute-intensive clouds. We believe the workshop will be an excellent place to help the community define the current state, determine future goals, and present architectures and services for future clouds supporting data intensive computing. Submission Guidelines Authors are invited to submit papers with unpublished, original work of not more than 8 pages of double column text using single spaced 10 point size on 8.5 x 11 inch pages, as per ACM 8.5 x 11 manuscript guidelines; document templates can be found at http://www.acm.org/sigs/publications/proceedings-templates. The final papers in PDF format must be submitted online at https://easychair.org/conferences/?conf=datacloud2017. Papers will be peer-reviewed, and accepted papers will be published in the workshop proceedings as part of the ACM digital library (in cooperation with SIGHPC). Submission implies the willingness of at least one of the authors to register and present the paper. List of Topics * Data-intensive cloud computing infrastructure, applications, characteristics and challenges * Case studies of data intensive computing in the clouds * Performance evaluation of data clouds, data grids, and data centers * Energy-efficient data cloud design and management * Data placement, scheduling, and interoperability in the clouds * Accountability, QoS, and SLAs * Data privacy and protection in a public cloud environment * Distributed file systems for clouds * Data streaming and parallelization * New programming models for data-intensive cloud computing * Scalability issues in clouds * Social computing and massively social gaming * 3D Internet and implications * Future research challenges in data-intensive cloud computing Committees Program Chairs * Tonglin Li, Oak Ridge National Laboratory * Boyu Zhang, Microsoft Inc. * Xuan Guo, Oak Ridge National Laboratory Steering committee * Wei Tang, Google Inc. * Roger Barga, Microsoft Research * Ian Foster, University of Chicago & ANL * Geoffrey Fox, Indiana University Program committee (to be confirmed) * David Abramson, Monash University, Australia * John Bent, Los Alamos National Laboratory * Umit Catalyurek, Ohio State University * Linhai Qiu, Google Inc. * Abhishek Chandra, University of Minnesota * Rong N. Chang, IBM Research * Yong Chen, Texas Tech University * Alok Choudhary, Northwestern University * Jialin Liu, Lawrence Berkeley National Laboratory * Brian Cooper, Google Inc. * Ewa Deelman, University of Southern California * Murat Demirbas, University at Buffalo * Xu Yang, Amazon Inc. * Zhou Zhou, Salesforce Inc. * Kun Feng, Illinois Institute of Technology * Anthony Kougkas, Illinois Institute of Technology Contact All questions about submissions should be emailed to lit1(a)ornl.gov, zhang.boyu84(a)gmail.com or guox(a)ornl.gov.

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PDP2018 - Second call for Papers - Deadline extended
by Ivan Merelli 19 Sep '17

19 Sep '17

***************************************************************************************** PDP 2018 - Second Call for Papers - Deadline Postponed - http://www.pdp2018.org ***************************************************************************************** Parallel, Distributed, and Network-Based Processing has undergone impressive changes over recent years. New architectures, advanced programming models, improved efficiency and novel application domains have rapidly become the central focus of this discipline. These changes are often a result of cross-fertilisation of parallel and distributed computational paradigms with other rapidly evolving technologies in different disciplines. It is of paramount importance to review and assess these new developments in relation with the recent research achievements in the different areas of parallel and distributed computing, considering both the industrial and scientific point of view. PDP 2018 will provide a forum for the discusssion of these and other issues through original research presentations and will facilitate the exchange of knowledge and new ideas at the highest technical and applicative level. PDP 2018 will be held in Cambridge, UK, March 21-23, 2018. Conference web site http://www.pdp2018.org ***************************************************************************************** * Topics of interest include, but are not restricted to: - Parallel Computing: massively parallel machines; embedded parallel and distributed systems; multi- and many-core systems; GPU and FPGA based parallel systems; parallel I/O; memory organisation. - Distributed and Network-based Computing: Cluster, Grid, Web and Cloud computing; mobile computing; interconnection networks. - Big Data: large scale data processing; distributed databases and archives; large scale data management; metadata; data intensive applications. - Models and Tools: programming languages and environments; runtime support systems; performance prediction and analysis; simulation of parallel and distributed systems. - Systems and Architectures: novel system architectures; high data throughput architectures; service-oriented architectures; heterogeneous systems; shared-memory and message-passing systems; - Middlewares and File systems : distributed operating systems; dependability and survivability; resource management; parallel and distributed file systems; - Advanced Algorithms and Applications: distributed algorithms; multi-disciplinary applications; computations over irregular domains; numerical applications with multi-level parallelism; real-time distributed applications. ***************************************************************************************** * In addition, special sessions will address upcoming novel topics: - GPU computing and Many Integrated Core Computing http://www.pdp2018.org/specialsessions/gpu.html - Advances in High-Performance Bioinformatics and Biomedicine http://www.pdp2018.org/specialsessions/ahpbb.html - Security in Parallel, Distributed and Network-Based Computing http://www.pdp2018.org/specialsessions/snds.html - Energy Efficient Management of Parallel Systems, Platforms, and Computations http://www.pdp2018.org/specialsessions/energy.html - Cloud Computing on Infrastructure as a Service and its Applications http://www.pdp2018.org/specialsessions/ccisa.html - High Performance Computing in Modeling and Simulation http://www.pdp2018.org/specialsessions/hpcms.html - On-chip parallel and network-based systems http://www.pdp2018.org/specialsessions/ocpnbs.html - Storage architectures and Data Transfer systems for BigData and Exascale Computing http://www.pdp2018.org/specialsessions/sdt.html - High Performance Computing for Neuroscience http://www.pdp2018.org/specialsessions/neuro.html - High Performance Computing in Astronomy and Astrophysics http://www.pdp2018.org/specialsessions/astro.html - Parallel and distributed high-performance computing solutions in Systems Biology http://www.pdp2018.org/specialsessions/sysbio.html - Parallel Numerical Methods and Libraries for Heterogeneous Multi/Manycores http://www.pdp2018.org/specialsessions/numerical.html ***************************************************************************************** SPECIAL SESSIONS MAY HAVE DIFFERENT DEADLINES FROM THE PDP2018 MAIN TRACK PLEASE TAKE A LOOK TO THE WEB PAGE OF EACH SPECIAL SESSSION FOR MORE DETAILS ***************************************************************************************** * Important dates: - Paper submission: 3 Nov, 2017 - Acceptance notification: 1 Dic, 2017 - Camera ready due: 22 Dic, 2017 - Conference: 21 - 23 Mar, 2018 ***************************************************************************************** * Submission of papers Prospective authors should submit a full paper not exceeding 8 pages in the Conference proceedings format ( double-column, 10pt) to the conference main track or to a special session track through the EasyChair conference submission system (http://www.easychair.org/conferences/?confpdp2018) Double-blind review: the paper should not contain authors names and affiliations; in the reference list, references to the authors' own work entries should be substituted with the string "omitted for blind review". Publication: all accepted papers will be included in the same volume, published by the Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be published after the notification of acceptance. Proceedings: authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted to IEEE explore, CDSL, and for indexing among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge. Special Issues: selected papers will be considered for a publication in a special issue of the journal "Concurrency and Computation: Practice and Experience", edited by Wiley. Further contacts with editors of other international journal are on-going to have more special issues for papers from the special sessions. ***************************************************************************************** Ivan Merelli Istituto di Tecnologie Biomediche, Consiglio Nazionale delle Ricerche 93, via F.lli Cervi, 20090 Segrate (Mi), Italy Phone: +39 02 2642-2606 E-Mail: ivan.merelli(a)itb.cnr.it Pietro Liò Computer Laboratory, University of Cambridge 15, JJ Thomson Avenue, Cambridge CB3 0FD, UK Phone: +44 (0)1223-763604 E-Mail: pl219(a)cam.ac.uk Igor Kotenko Laboratory of Computer Security Problems, SPIIRAS 39, 14th. Liniya, St. Petersburg, 199178, Russia Phone: +7 (812) 328-71-81 E-Mail: ivkote(a)comsec.spb.ru ******************************************************************************************** Euromicro is an international scientific organization advancing sciences and applications of Information Technology and Microelectronics. A major focus is on organizing conferences and workshops in Computer Science and Computer Engineering. Euromicro is a non-profit association founded in 1974 and annual conferences have taken place in more than 20 countries all over Europe. Find out more at http://www.euromicro.org.

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