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Bench'19 (http://www.benchcouncil.org/Bench19/index.html) Call for Papers
by gaowanling＠ict.ac.cn 28 Mar '19

28 Mar '19

---Apologies if you receive multiple copies of this CFP--- Bench'19 (2019 International Symposium on Benchmarking, Measuring and Optimizing) Call for Papers Web: http://www.benchcouncil.org/Bench19/index.html November 14-16, 2019, Denver, Colorado, USA Introduction Benchmarking, measuring, and optimizing are fundamental activities in human being’s lives. Starting as nine BPOE Workshop series and SDBA Workshop in conjunction with ASPLOS, VLDB, and ICS, this symposium (Bench 19) is organized by International Open Benchmarking Council (BenchCouncil), and the main theme is benchmarking, measuring, and optimizing Big Data or AI in HPC, Datacenter, IoT, and Edge Computing. Bench 19 provides a high-quality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmark community as a whole. Also, we will invite speakers from China, US, Europe and Japan on HPC AI topics. Bench 19 has three special events: HPC AI benchmark suite and first HPC AI benchmarking report, Big Data and AI challenges, and BenchCouncil awards. Call for papers We solicit papers describing original and previously unpublished research. Specific topics of interest include, but are not limited to the following. **Benchmark, measurement, and optimization of: **Benchmark specifications and open-source implementation reports of: ** Methodologies, abstractions, metrics, algorithms, and tools in benchmark, measurement, and optimization for: ** Benchmark-driven domain-specific co-design of: ** Testbed methodologies and systems of: ** Workload characterization of: -Big Data -AI -HPC -Machine learning in HPC -Big scientific data -Datacenter -Cloud -Warehouse-scale computing -Mobile robotics -Edge and fog computing -IoT Paper Submission: Papers must be submitted in PDF. Short papers (no more than 4 pages in standard two-column IEEE conference format or 6 pages in LNCS format, not including references) are encouraged, and the authors can extend their short paper to 12 pages in LNCS format, not including references, in the final publication. If a full paper is submitted, the page limit is 8 pages in standard two-column IEEE conference format or 12 pages in LNCS format, not including references. The submissions will be judged based on the merit of the ideas rather than the length. After the conference, revised papers will be published by Springer (Pending). Submission site: https://easychair.org/conferences/?conf=bench19 Improtant Dates Registration of abstract June 15, 2019 Paper Submission June 30, 2019 Acceptance Notification Aug 20, 2019 Organization General Chairs Dan Stanzione (Texas Advanced Computing Center, The University of Texas at Austin) Xiaoyi Lu (The Ohio State University) TPC Chairs Jianfeng Zhan (ICT, Chinese Academy of Sciences, and University of Chinese Academy of Sciences) Publications Chair Chen Zheng (Institute of Computing Technology, CAS) Award Committees D. K. Panda (The Ohio State University) Jianfeng Zhan (ICT, Chinese Academy of Sciences, and University of Chinese Academy of Sciences) BenchCouncil Achievement Award This award recognizes a senior member who has made long-term contributions to benchmarking, measuring, and optimizing. The winner is eligible for BenchCouncil Fellow. BenchCouncil System Award This award recognizes a group of scientists and engineers who has made significant contributions to the design, implementation of a state-of-the-art or state-of-the-practice system. BenchCouncil Contribution Award Chair This award recognizes a senior member who has made long-term contributions to the benchmarking, measuring, and optimizing community. BenchCouncil best paper award Chair This award recognizes a paper presented at the Bench conferences, which demonstrates potential impact on research and practice in benchmarking, measuring, and optimizing. Publicity Chairs Zhen Jia (Princeton University) Wanling Gao (Institute of Computing Technology, CAS) Web Chair Jiahui Dai (Beijing Academy of Frontier Sciences and Technology)

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CfP: EUSIPCO 2019 Satellite Workshop on Signal Processing, Computer Vision and Deep Learning for Autonomous Systems
by Nikos Nikolaidis 27 Mar '19

27 Mar '19

EUSIPCO 2019 SATELLITE WORKSHOP ON SIGNAL PROCESSING, COMPUTER VISION AND DEEP LEARNING FOR AUTONOMOUS SYSTEMS A CORUNA, SPAIN, SEPTEMBER 6th 2019 CALL FOR PAPERS WORKSHOP SUMMARY During the last years we are witnessing a constantly increasing use and interest for Autonomous Systems (AS) such as UAVs, humanoid robots, cars, marine and underwater vessels, etc. This is due to their numerous applications in transport, surveillance, mapping, manufacturing, healthcare, agriculture, infrastructure inspection, cinematography etc. Successful deployment of autonomous systems involves tackling a number of interesting and challenging topics such as AS localization, planning, action and mapping, analysis of visual data coming from AS sensors for human centric or environment active perception and cognition, privacy protection technologies in AS data, 3D data (e.g. LIDAR) processing and analysis, communication issues for AS, sensor fusion, multimodal interfaces etc. These tasks can be addressed by using several methodologies from the areas of signal/image/video processing and analysis, computer vision and machine learning (including deep learning) provided that they respect several constraints and limitations inherent to AS, such as real-time operation, limited available computing resources on board the AS, need for robustness in real-life scenarios etc. The aim of this workshop is to bring together researchers, engineers and computer scientists working in the areas of signal/image/video processing and analysis, computer vision, and machine learning for AS to present and discuss recent developments and trends in this exciting area. The workshop will consist of 2-3 invited talks by prominent researchers and oral presentations featuring research papers. The workshop is technically sponsored by the H2020 Project MULTIDRONE (www.multidrone.eu) PAPER TOPICS Papers describing novel work are solicited in the following areas (non-exhaustive list): * Signal/image/video processing and analysis for autonomous systems * Machine learning for autonomous systems * Deep learning for autonomous systems * Computer vision for autonomous systems * Human centric active perception and cognition for autonomous systems (person/face/body part detection/recognition and pose estimation, person/face/body part tracking, human activity recognition, social signal -facial expressions, gestures etc- analysis and recognition, speech and biosignals analysis and recognition) * Environment active perception and cognition for autonomous systems (object detection/recognition and semantic scene segmentation and understanding, 2D/3D object tracking, 3D scene reconstruction, sensor information fusion) * Autonomous systems localization, planning, navigation, action and control * Embedded computing approaches for processing (computer vision, deep learning, etc) on autonomous systems * Intelligent cinematography using drones and other autonomous systems * Signal processing, computer vision and deep learning for autonomous systems safety (obstacle detection and avoidance, drone landing site detection, crowd and pedestrian detection and localization, road sign/lane detection/recognition etc) * Privacy protection and compliance to ethics regulations * Robust and secure mobile communications for autonomous systems * Signal enhancement, compression and transmission for autonomous systems IMPORTANT DATES * Full Paper Submission: April 30, 2019 * Notification of Paper Acceptance: May 24, 2019 * Camera Ready Papers: June 7, 2019 * Workshop: September 6, 2019 SUBMISSION AND REVIEW PROCEDURE Prospective authors shall submit their papers using EDAS (https://edas.info/newPaper.php?c=24822 ). Papers should adhere to the main conference guidelines to be considered and, eventually, be published in the proceedings. For more details please visit http://eusipco2019.org/paper-submission/ . All papers will go through a peer review process. Workshop proceedings will be handled by EURASIP and will be publicly available through the repository of EURASIP. WORKSHOP ORGANIZERS * Nikos Nikolaidis, Aristotle University of Thessaloniki, Greece, nnik(a)csd.auth.gr * Anastasios Tefas, Aristotle University of Thessaloniki, Greece, tefas(a)csd.auth.gr WORKSHOP TECHNICAL PROGRAM COMMITTEE * Anibal Ollero, University of Seville, Spain * Ioannis Pitas, Aristotle University of Thessaloniki, Greece * David Bull, University of Bristol, UK * Alberto Messina, RAI, Italy * Joao Costeira, IST, Portugal * Jesus Capitan, University of Seville, Spain * Rita Cunha, IST, Portugal INFORMATION * EUSIPCO 2019 website: http://eusipco2019.org/ * Workshop information: http://eusipco2019.org/programme/satellite-workshops/ * For additional information regarding the workshop please contact one of the workshop organizers Nikos Nikolaidis (nnik(a)csd.auth.gr) and Anastasios Tefas, (tefas(a)csd.auth.gr)

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CFP: The 24th European Symposium on Research in Computer Security (ESORICS 2019)
by Publicity Chair ESORICS 2019 26 Mar '19

26 Mar '19

================================================================================ *** Apologies for multiple copies *** C a l l F o r P a p e r s Twenty-fourth European Symposium on Research in Computer Security (ESORICS 2019) Luxembourg -- September 23-27, 2019 WWW: https://esorics2019.uni.lu ================================================================================ Overview --------- ESORICS is the annual European research event in Computer Security. The Symposium started in 1990 and has been held in several European countries, attracting a wide international audience from both the academic and industrial communities. Papers offering novel research contributions in computer security are solicited for submission to the 2019 Symposium, to be held in Luxembourg. The primary focus is on original, high quality, unpublished research and implementation experiences. We encourage submissions of papers discussing industrial research and development. Important Dates ---------------- * Title and Abstract deadline: April 22, 2019 (11:59 p.m. American Samoa time, UTC-11) * Paper submission deadline: April 29, 2019 (11:59 p.m. American Samoa time, UTC-11) * Notification to authors: June 21, 2019 * Camera ready due: July 9, 2019 Topics of Interest ------------------- Topics of interest include, but are not limited to: * access control * accountability * ad hoc networks * anonymity * applied cryptography * authentication * biometrics * blockchain and finance security * data and computation integrity * database security * data protection * deep learning for attack and defense * digital content protection * digital forensics * distributed systems security * embedded systems security * inference control * information hiding * identity management * information flow control * information security governance and management * intrusion detection * formal security methods * language-based security * network security * phishing and spam prevention * privacy * privacy preserving data mining * risk analysis and management * secure electronic voting * security architectures * security economics * security metrics * security models * security and privacy for big data * security and privacy in cloud scenarios * security and privacy in complex systems * security and privacy in content centric networking * security and privacy in crowdsourcing * security and privacy in the IoT * security and privacy in location services * security and privacy for mobile code * security and privacy in pervasive / ubiquitous computing * security and privacy policies * security and privacy in social networks * security and privacy in web services * security and privacy in cyber-physical systems * security, privacy and resilience in critical infrastructures * security verification * software security * systems security * trust models and management * trustworthy user devices * usable security and privacy * web security * wireless security Paper Submission Guidelines ---------------------------- Submissions must be made through EasyChair at: https://easychair.org/conferences/?conf=esorics19 Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference/workshop with proceedings. The symposium proceedings will be published by Springer in the Lecture Notes in Computer Science series (LNCS). All submissions should follow the LNCS template ( available from http://www.springer.de/comp/lncs/authors.html ) from the time they are submitted. Submitted papers should be at most 16 pages (using 10-point font), excluding the bibliography and well-marked appendices, and at most 20 pages total. Committee members are not required to read the appendices, so the paper should be intelligible without them. All submissions must be written in English. Submissions are to be made to the submission web site. Only pdf files will be accepted. Submissions not meeting these guidelines risk rejection without consideration of their merits. Authors of accepted papers must agree with Springer LNCS copyright and guarantee that their papers will be presented at the conference. Papers must be received by the aforementioned dates, 11:59 p.m. American Samoa time (UTC-11). Organisation Committee ----------------------- General Chair: * Peter Y A Ryan, University of Luxembourg, Luxembourg Organization Chair: * Peter B Roenne, University of Luxembourg, Luxembourg Workshop Chair: * Joaquin Garcia-Alfaro,Telecom SudParis, France Program Committee Chairs: * Kazue Sako, NEC Japan * Steve Schneider, University of Surrey, UK Program Committee: Cristina Alcaraz, University of Malaga, Spain Elli Androulaki, IBM, Switzerland Frederik Armknecht, University of Mannheim, Germany Vijay Atluri, Rutgers University, USA Marina Blanton, University of Notre Dame, USA Carlo Blundo, Universita` degli Studi di Salerno, Italy Christian Cachin, University of Bern, Switzerland Alvaro Cardenas, University of Texas at Dallas, USA Aldar Chan, University of Hong Kong, HK Yan Chen, Northwestern University, USA Sherman S. M. Chow, Chinese University of Hong Kong, HK Mauro Conti, University of Padua, Italy Jorge Cuellar, Siemens A.G., Germany Frederic Cuppens, TELECOM Bretagne, France Nora Cuppens-Boulahia, TELECOM Bretagne, France Marc Dacier, EURECOM, France Sabrina De Capitani di Vimercati, Università degli studi di Milano, Italy Hervé Debar, Télécom SudParis, France Stéphanie Delaune, IRISA, France Roberto Di Pietro, Hamad Bin Khalifa University (HBKU), Qatar Josep Domingo-Ferrer, University Rovira-Virgili, Spain Haixin Duan, Tsinghua University, China Francois Dupressoir, University of Surrey, UK Jose Fernandez, Polytechnique Montreal, Canada Jose-Luis Ferrer-Gomila, UIB, Spain Simone Fischer-Hübner, Karlstad University, Sweden Simon Foley, IMT Atlantique, France Sara Foresti, Università degli studi di Milano, Italy David Galindo, University of Birmingham, UK Debin Gao, SMU, Singapore Dieter Gollmann, Hamburg University of Technology, Germany Stefanos Gritzalis, University of the Aegean, Greece Guofei Gu, Texas A&M University, USA Juan Hernandez, UPC, Spain Xinyi Huang, Fujian Normal University, China Ghassan Karame, NEC Labs Europe, Germany Vasilios Katos, Bournemouth University, UK Sokratis Katsikas, NTNU, Norway Stefan Katzenbeisser TU Darmstadt, Germany Steve Kremer, INRIA Nancy-Grand Est, France Marina Krotofil, FireEye, USA Costas Lambrinoudakis, University of Piraeus, Greece Yingjiu Li, SMU, Singapore Kaitai Liang, University of Surrey, UK Hoon Wei Lim, SingTel, Singapore Joseph Liu, Monash University, Australia Peng Liu, Pennsylvania State University, USA Xiapu Luo, Hong Kong Polytechnic University, HK Konstantinos Markantonakis, RHUL, UK Fabio Martinelli, IIT-CNR, Italy Ivan Martinovic, University of Oxford, UK Sjouke Mauw, University of Luxembourg, Luxembourg Catherine Meadows, Naval Research Laboratory, USA Weizhi Meng, DTU, Denmark Chris Mitchell, RHUL, UK John C. Mitchell, Stanford University, USA Tatsuya Mori, Waseda University, Japan Haris Mouratidis, University of Brighton, UK David Naccache, Ecole Normale Suprieure, France Satoshi Obana, Hosei University, Japan Martin Ochoa, SUTD, Singapore Rolf Oppliger, eSECURITY Technologies, Switzerland Andrew Paverd, Microsoft Research Cambridge, UK Olivier Pereira, UCL, Belgium Günther Pernul, Universität Regensburg, Germany Christina Popper, New York University, US Joachim Posegga, University of Passau, Germany Bart Preneel, Katholieke Universiteit Leuven, Belgium Indrajiti Ray, Colorado State University, USA Giovanni Russello, University of Auckland, New Zealand Mark Ryan, University of Birmingham, UK Rei Safavi-Naini, University of Calgary, Canada Kazue Sako, NEC, Japan Pierangela Samarati, Universitá degli studi di Milano, Italy Damien Sauveron, XLIM, France Steve Schneider, University of Surrey, UK Einar Snekkenes, Gjovik University College, Norway Pawel Szalachowski, SUTD, Singapore Willy Susilo, University of Wollongong, Australia Qiang Tang, LIST, Luxembourg Juan Tapiador, Universidad Carlos III de Madrid, Spain Nils Ole Tippenhauer, SUTD, Singapore Helen Treharne, University of Surrey, UK Aggeliki Tsohou, Ionian University, Greece Jaideep Vaidya, Rutgers University, USA Luca Viganò, King’s College London, UK Michael Waidner, Fraunhofer SIT, Germany Cong Wang, City University of Hong Kong, HK Lingyu Wang, Concordia University, Canada Edgar Weippl, SBA Research, Austria Christos Xenakis, University of Piraeus, Greece Zhe Xia, Wuhan University of Technology, China Kehuan Zhang, Chinese University of Hong Kong, HK Sencun Zhu, Pennsylvania State University, USA

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[SMARTCOMP 2019] - PhD Forum - Call for submissions
by Francesca Righetti 26 Mar '19

26 Mar '19

The Ph.D. Forum at SMARTCOMP 2019 provides an opportunity for Ph.D. students to present their work in progress to the scientific community and obtain individual feedback from leading researchers in the field. This forum is intended to provide doctoral students with a platform to interact with established researchers from both academia and industry and get useful guidance on the broader impacts of their research. The Forum will be structured as a poster presentation session by the students, followed by collective discussions. The student presentations will be interleaved with speeches by leading researchers, who will provide their own perspectives on current and future research in the field, as well as on how to best pursue a Ph.D. in this context. Current Ph.D. students at any stage of their career are encouraged to submit a 2-page extended abstract about their research to be considered for the Ph.D. Forum. The student should be the sole author, although contributions of the advisor and others should be acknowledged. Submissions will be reviewed by the Ph.D. Forum committee to ensure quality, relevance, and potential benefit from attendance to the Forum. There will be no separate registration fee for the Forum. Participating students will only need to register to the main SMARTCOMP conference. Authors of accepted submissions are expected to participate in person to the Forum. Conference website: http://www.smart-comp.org <http://www.smart-comp.org/> Conference dates: June 12th-14th, 2019 Call for presentations at the Ph.D. forum: http://www.smart-comp.org/call-for-phd-forum.html <http://www.smart-comp.org/call-for-phd-forum.html> Ph.D. forum submission deadline: April 20th, 2019

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IEEE IEEE International Conference on High Performance Computing, Data, and Analytics 2019 Call for Papers
by Sanmukh Rao 26 Mar '19

26 Mar '19

********************************************************************** We apologize if you received multiple copies of this Call for Papers Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2019 CALL FOR PAPERS ********************************************************************** 26th IEEE International Conference on High Performance Computing, Data, and Analytics December 17-20, 2019, Hyderabad, India https://hipc.org/ PROGRAM CHAIRS Ananth Kalyanaraman, Washington State University, USA George Karypis, University of Minnesota, USA PROGRAM VICE-CHAIRS HPC Tracks: Algorithms: Bora Uçar, CNRS and École normale supérieure de Lyon, France Applications: Alba Cristina M.A. de Melo, University of Brasilia, Brazil Architecture: Smruti Ranjan Sarangi, Indian Institute of Technology Delhi, India System Software: Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA Data Science Tracks: Scalable Algorithms and Analytics: Srinivasan Parthasarathy, Ohio State University, USA Scalable Systems and Software: Gagan Agrawal, Ohio State University, USA HiPC 2019 Call For Papers HiPC 2019 will be the 26th edition of the IEEE International Conference on High Performance Computing, Data, Analytics and Data Science. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional areas and emerging topics including from machine learning, big data analytics and blockchain. Each submission should be submitted to one of the tracks listed under the two broad themes of High Performance Computing and Data Science. High Performance Computing tracks: Algorithms: This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Advances in enhancing algorithmic properties or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); * Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models); * Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); and * Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management); Architectures: This track invites papers that describe original research on the design and evaluation of high performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): * Design and evaluation of high performance processing architectures (e.g., reconfigurable, system-on-chip, manycores, vector processors); * Design and evaluation of networks for high performance computing platforms (e.g., interconnect topologies, network-on-chip); * Design and evaluation of memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); * Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); and * Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications: This track invites papers that describe original research on the design and implementation of scalable applications for execution on parallel and distributed platforms, and related advances. Examples of topics of interest include (but not limited to): * Design and implementation of shared and distributed memory parallel applications (e.g., scientific computing and industry applications, emerging applications in IoT and life sciences - biology, medicine, chemistry, etc.); * Design and simulation methodologies for scaling applications on peta- and exascale platforms (e.g., co-design approaches, hardware/software co-design, heterogeneous and hybrid programming); * Hardware acceleration of parallel applications (e.g., CPU/GPUs, multi-GPU clusters, FPGA, vector processors, manycore); and * Design of application benchmarks for parallel and distributed platforms. Systems Software: This track invites papers that describe original research on the design, implementation and evaluation of systems software for high performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): * Scalable systems and software architectures for high performance computing (e.g., middleware, operating systems, I/O services); * Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); * Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); * Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; * Software for cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); and * Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms); Data Science tracks: Scalable Algorithms and Analytics: This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): * New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery); * Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); * Scalable algorithms and techniques to reduce complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); * Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); and * Scalable algorithms that ensure the transparency and fairness of the analysis. Scalable Systems and Software: This track invites papers that describe original research on developing scalable systems and software for handling data at scale, and related advances. Examples of topics of interest include (but not limited to): * Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications) * Design of scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs). * Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); * Design and implementation of systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); and * Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy preserving and secure schemes). One or more best paper awards will be given for outstanding contributed papers. IMPORTANT DATES Abstract Submission: Friday, June 7, 2019 Paper Submission: Friday, June 14, 2019 Reviews for Rebuttals: Monday, July 29, 2019 Rebuttals due: Monday, August 5, 2019 Initial Submission Decision: Monday, August 19, 2019 Revisions Due: Friday, September 20, 2019 Author Notification: Monday, September 30, 2019 Camera Ready: Monday, October 14, 2019 Manuscript Guidelines Submitted manuscripts should be structured as technical papers and 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. See IEEE style templates at this page for details. Electronic submissions must be in the form of a readable PDF file. Manuscripts must be received by the published paper submission deadline. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. Authors are highly encouraged to list the key contributions of their paper. This should be in a separate paragraph in the introduction to the paper. Please note that the review process is “single-blind” (i.e., authors can list their names on the paper). This year we are introducing a two-phase review process, in which the first round of reviews will be made available to the authors for a brief rebuttal. Based on the reviews and the rebuttal, an initial decision will be issued. Papers will be either accepted or rejected or recommended for a second round. Authors of papers recommended for a second round will be allowed to revise the paper to address the comments and suggestions made by the program committee. The revisions will undergo a second round of review before the final notification. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chairs of the respective tracks at their contact email addresses below for further information or clarification. Notification of review decisions will be emailed by September 30, 2019. Camera-ready papers are due by October 14, 2019. A published proceedings will be available at the conference. At least one author of each paper must be registered for the conference in order for the paper to be published in the proceedings. Presentation of an accepted paper at the conference is a requirement of publication. Any paper that is not presented at the conference will not be included in IEEE Xplore. Easychair Submission link: https://easychair.org/conferences/?conf=hipc2019 Journal Special Issue: Authors of selected high quality papers in HiPC 2019 will be invited to submit extended version of their papers for possible publication in a special issue of Journal of Parallel and Distributed Computing. PLEASE NOTE: * Authors must register their paper and submit an abstract, typically a paragraph or two, by June 7, 2019 * Authors must then submit full versions of registered papers by June 14, 2019 * All deadlines are end of day ANYWHERE ON EARTH. * Links to EasyChair submissions: https://easychair.org/conferences/?conf=hipc2019 Contact Information * High Performance Computing tracks: Ananth Kalyanaraman, Washington State University, USA, ananth(a)wsu.edu * Data Science tracks: George Karypis, University of Minnesota, USA, karypis(a)umn.edu ___________________________________________________ HiPC 2019 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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MACIS 2019, November 13-15, 2019, Istanbul-Gebze, Turkey
by Ilias Kotsireas 26 Mar '19

26 Mar '19

Forwarded on behalf of Zafeirakis Zafeirakopoulos <zafeirakopoulos(a)gtu.edu.tr> ********************************************************** MACIS 2019 8th International Conference on Mathematical Aspects of Computer and Information Sciences November 13-15, 2019 Istanbul-Gebze, Turkey. http://macis2019.gtu.edu.tr/ ********************************************************** MACIS is a series of biennial conferences focusing on research in mathematical and computational aspects of computing and information science. MACIS 2019 will feature invited presentations and a selective four-track program of contributed papers describing original and unpublished research. ==== MACIS 2019 Organization ==== General Chair: Zafeirakis Zafeirakopoulos, Gebze Technical University, Turkey PC Chairs: Daniel Slamanig, AIT Austrian Institute of Technology, Austria Elias Tsigaridas, INRIA/SU, France MACIS Steering Committee: Johannes Bloemer, Paderborn University, Germany Ilias Kotsireas, Wilfrid Laurier University, Canada Temur Kutsia, RISC, Johannes Kepler University, Austria Siegfried Rump, Hamburg University of Technology, Germany Dimitris E. Simos (Chair), SBA Research, Austria Chee Yap, New York University, USA ==== MACIS 2019 Topics ==== MACIS authors are required to choose one of the following tracks: - Algorithms and Foundations - Security/Cryptography - Combinatorics/Codes/Designs/Graphs - Data Modeling/Machine Learning ==== MACIS 2019 in social media ==== - https://twitter.com/macis2019 - https://www.facebook.com/macis2019 For general inquiries regarding MACIS 2019, please send an e-mail to Zafeirakis Zafeirakopoulos <zafeirakopoulos(a)gtu.edu.tr>

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CFP: The Int. Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML 2019)
by Deep ML 25 Mar '19

25 Mar '19

----------------------- Call for Papers ----------------------------- The International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML 2019) 26-28 August 2019, Istanbul, Turkey http://www.ficloud.org/deep-ml-2019/ ----------------------------------------------------------------------------- Deep learning and machine learning are the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionize industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, security, manufacturing, education, games, and various other industrial applications. Google, for example, exploits the techniques of deep learning in voice and image recognition applications, while Amazon uses such techniques in helping customers in their online purchase decisions. The International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML) provides a leading forum for researchers, developers, practitioners, and professional from public sectors and industries in order to meet and share latest solutions and ideas in solving cutting edge problems in modern information society and economy. The conference comprises a set of tracks that focus on specific challenges in deep learning and machine learning and their applications in emerging areas. Topics of interest include, but are not limited to, the following: 1) Deep and Machine Learning Models and Techniques: Novel machine and deep learning Active learning; Incremental learning and online learning Agent-based learning; Manifold learning Multi-task learning Bayesian networks and applications Case-based reasoning methods Statistical models and learning Computational learning; Evolutionary algorithms and learning Evolutionary neural networks Fuzzy logic-based learning Genetic optimization Clustering, classification and regression Neural network models and learning Parallel and distributed learning Reinforcement learning Supervised, semi-supervised and unsupervised learning Tensor Learning 2) Deep and Machine Learning for Big Data Analytics: Deep/Machine learning based theoretical and computational models Novel techniques for big data storage and processing Data analysis, insights and hidden pattern Data analysis and decision making Data wrangling, munching and cleaning Data integration and fusion Data visualization Data and information quality, efficiency and scalability Security threat detection using big data analytics Visualizing security threats Enhancing privacy and trust Data analytics in complex applications – finance, business, healthcare, engineering, medicine, law, transportation, and telecommunication 3) Deep and Machine Learning for Data Mining and Knowledge: Data mining in the web and online systems Multimedia; images and video data mining Feature extraction and classification Information retrieval and extraction Distributed and P2P data search Sentiment analysis Mining high velocity data streams Anomaly detection in streaming data Mining social media and social networks Mining sensor and computer networks data Mining spatial and temporal datasets Data classification, clustering, and association Knowledge acquisition and learning Knowledge representation and reasoning Knowledge discovery in large datasets 4) Deep and Machine Learning Application Areas: Bioinformatics and biomedical informatics Finance, business and retail Intelligent transportation Healthcare, medicine and clinical decision support Computer vision Human activity recognition Information retrieval and web search Cybersecurity Natural language processing Recommender systems Social media and networks 5) Deep and Machine Learning for Computing and Network Platforms: Network and communication systems Software defined networks Wireless and sensor networks Internet of Things (IoT) Cloud Computing Edge and Fog Computing Paper Submission: Full papers must be in English and should be between 12 to 14 pages. Short papers should be limited to 8 pages. Papers must be formatted in Springer's LNCS format. Submitted research papers may not overlap with papers that have already been published or that are simultaneously submitted to a journal or a conference with proceedings. ORGANISING COMMITTEE General Co-Chairs: Joao Gama, University of Porto, Portugal Edwin Lughofer, Johannes Kepler University Linz, Austria Program Co-Chairs: Irfan Awan, University of Bradford, UK Hadi Larijani, Glasgow Caledonian University, UK Local Organising Co-Chairs: Perin Ünal, Teknopar, Turkey Sezer Gören, Ugurdag Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Publication Chair: Muhammad Younas, Oxford Brookes University, UK Journal Special Issue Coordinator: Lin Guan, Loughborough University, UK Workshop Coordinator: Filipe Portela, University of Minho, Portugal Publicity Chair: Esra N. Yolaçan, Osman Gazi University, Turkey ReplyForward

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CFP: 5th Int. Conference on Big Data Innovations and Applications 2019
by Innovate-Data 25 Mar '19

25 Mar '19

------------------------ Call for Papers------------------ The 5th International Conference on Big Data Innovations and Applications (Innovate-Data 2019) 26-28 August 2019, Istanbul, Turkey http://www.ficloud.org/innovate-data-2019/ (Springer: Communications in Computer and Information Science (CCIS)) ----------------------------------------------------------------------------- Big data has become a key asset in modern societies, economies, and governmental organizations. Big data encompasses various kinds of complex and large scale information that are beyond the processing capabilities of conventional software and databases. The increasing volume and velocity of the data, captured by business organizations, web repositories, social media, data centres, cloud and IoT, have resulted in the exponential growth of big data. Big data provides a key basis for innovations in various domains and applications. It can benefit data managers, developers, companies and various kinds of organizations to carry out useful analysis of data pattern and trends, make intelligent decisions, and solve complex problems that can help societies and economies and speed up innovations. The aim of the Innovate-Data conference is to promote the state of the art in scientific and practical research of big data and to bring together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas. CONFERENCE TRACKS: Track: Big Data Storage, Representation and Processing Topics: Data storage; Data representation and structures; Data management; Data processing; Data engineering and design; Storages and network requirements Track: Big Data Security, Privacy and Trust Topics: Data Security; Data Privacy; Data Trust; Data protection and integrity; Legal and ethical issues; Identity theft; Data loss and leakage Track: Big Data Models, Infrastructure and Platforms Topics: Data models; NoSQL databases; Data consistency and availability; Fault tolerance and reliability; Network models and protocols; Performance evaluation; Resource management; Transaction management; RDBMS and big data; Memcached systems and techniques Track: Visualisation of Big Data Topics: Data visualisation, Visual representation; Usability and user interaction; Graphs models and techniques for big data; Data acquisition and cleaning Track: Big Data Analytics and Metrics Topics: Analytics models; Tools and technologies; Data patterns; Business intelligence and decision making; Optimization of resources and cost; Customer relations and satisfaction; Data economics; Metrics for big data; Analysis of online reviews Track: Big Data Science Topics: Big data science models; Data searching and mining; Methodologies and use cases; Machine learning and deep learning; Algorithms and formal models; Mathematical and Statistical models for big data; Interdisciplinary approaches and methods Track: Big Data Applications and Innovations Topics: Business applications; Social media and networks; Healthcare applications; Government and public sector systems; Multimedia and data streaming; Personal data logging and quantified-self; Context-aware data; Big data in cloud and IoT; Personalisation of data; Open and linked data Submission Instructions: Full papers must be in English and must not exceed 12 pages. Short papers should be limited to 8 pages. Papers should be formatted in Springer's LNCS format. See submission instructions on the conference website. Publication: All accepted papers are planned to be included in the conference proceedings published by Springer in the Lecture Notes in Computer Science (LNCS) series. For each accepted paper, at least one author must register for the conference and present the paper. Authors of selected papers will be invited to submit an extended version of their papers for a special issues in international journals (see conference website). Lecture Notes in Computer Science (LNCS) series is indexed by the ISI Conference Proceedings Citation Index - Science (CPCI-S), included in ISI Web of Science, EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, dblp, Google Scholar, Scopus, etc. See LNCS - Information on Abstracting and Indexing ( http://www.springer.com/computer/lncs?SGWID=0-164-6-1068921-0) Authors of selected papers will be invited to submit an extended version of their papers for a special issues in international journals (see Journal Special Issues section). Important Dates: Submission Deadline (Extended): 02 April 2019 Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 General Chair: William Knottenbelt, Imperial Colledge London, UK Program Co-Chairs: Salima Benbernou, Université Paris Descartes, France Muhammad Younas, Oxford Brookes University, UK Local Organising Co-Chairs: Perin Ünal, Teknopar, Turkey Sezer Gören Ugurdag, Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Publication Chair: Irfan Awan, University of Bradford, UK Workshop Coordinator: Filipe Portela, University of Minho, Portugal Publicity Chair: Fang-Fang Chua, Multimedia University, Malaysia Journal Special Issues Coordinator: Lin Guan, Loughborough University, UK

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CFP: The 16th Int. Conference on Mobile Web and Intelligent Information Systems 2019
by MobiWIS Conference 25 Mar '19

25 Mar '19

----------------------- Call for Papers --------------------------- The 16th International Conference on Mobile Web and Intelligent Information Systems (MobiWis 2019) Springer LNCS Series. 26-28 August 2019, Istanbul, Turkey http://www.mobiwis.org/2019/ ----------------------------------------------------------------------------- The areas of the Web, mobile technologies, and information systems have been following a continuous and steady development over a number of years through the innovative research and practices of researchers, developers and practitioners from academia, industry, governmental and scientific organizations. The International Conference on Mobile Web and Intelligent Information Systems (MobiWis) aims to enable synergy between these areas and provides the premier venue to present and discuss latest research and developments related to research issues of the mobile web and the engineering of intelligent and innovative mobile systems and services. The conference comprises a set of carefully selected tracks that focus on the particular challenges regarding mobile Web and intelligent information systems in research areas such as, among others, Web Engineering, Service-Oriented Computing, Web of Things, Data and Knowledge Management, Cloud Computing, Security and Human-Computer Interaction. Conference Tracks: - Smart and Intelligent Systems - Mobile Software Systems - Adaptive Approaches for Mobile Computing - Middleware/SOA for Mobile Systems - Context- and Location-aware Services - Pervasive and Ubiquitous Applications - Data management in the Mobile Web - Mobile Cloud Services - Mobile Web of Things - Mobile Web Security, Trust and Privacy - Mobile Networks, Protocols and Applications - Mobile Commerce and Business Services - Socially Influencing Systems - HCI in Mobile Applications - Industry and Demos Important Dates: Submission Deadline (Extended): * 02 April 2019* Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 Submission Instructions: Full papers must be in English and must not exceed 12 pages. Short papers should be limited to 8 pages. Papers should be formatted in Springer's LNCS format. See submission instructions on the conference website. Publication: All accepted papers will be included in the conference proceedings published by Springer in the Lecture Notes in Computer Science (LNCS) series. For each accepted paper, at least one author must register for the conference and present the paper. Authors of selected papers will be invited to submit an extended version of their papers for a special issues in international journals (see conference website). Lecture Notes in Computer Science (LNCS) series is indexed by the ISI Conference Proceedings Citation Index - Science (CPCI-S), included in ISI Web of Science, EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, dblp, Google Scholar, Scopus, etc. See LNCS - Information on Abstracting and Indexing ( http://www.springer.com/computer/lncs?SGWID=0-164-6-1068921-0) Organizing Committee: General Co-Chairs: Markus Aleksy, ABB, Germany Perin Unal, Teknopar, Turkey Program Co-Chairs: Irfan Awan, University of Bradford, UK Mohammed Ghazal, Abu Dhabi University, UAE Local Organising Co-Chairs: Sezer Gören Ugurdag, Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Publication Chair: Muhammad Younas, Oxford Brookes University, UK Journal Special Issue Coordinator: George Ghina, Brunel University London, UK Workshop Coordinator: Tor-Morten Grønli, Kristiania University College, Norway Publicity Chair: Aneta Poniszewska-Maranda, Lodz University of Technology, Poland

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CFP: 7th Int. Conf. on Future Internet of Things and Cloud (FiCloud 2019)
by FiCloud Conference 25 Mar '19

25 Mar '19

----------------------Call for Papers ------------------------------------------------ The 7th International Conference on Future Internet of Things and Cloud (FiCloud 2019), IEEE CS- TCI 26-28 August 2019, Istanbul, Turkey http://www.ficloud.org/2019/ --------------------------------------------------------------------------------------- The Internet of Things (IoT) vision is to provide a dynamic and global network infrastructure which is characterized by intelligent and self configuring capabilities. IoT is considered as an integral part of the future Internet. It is based on interoperable communication protocols in order to enable the interaction and integration of virtual as well as physical Things such as computers, smart devices, sensors, cars, refrigerators, food packages, medicines, etc. Things can be seamlessly integrated into the information network and interaction can be made through the provision of intelligent interfaces. In not so distant future, IoT will be forcing its way into every aspect of our lives and technologies including smart homes, smart cities, environment and nature, green energy, food, medicine, automotive, aerospace and aviation, telecommunication, and so on. IoT is generally characterized by real world and small Things, limited capacity, constrained devices and the consequential issues such as less reliability, security and privacy. Cloud computing on the other hand deals mainly with virtual world and has unlimited capabilities in terms of storage and processing power. Thus cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner. The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing. CONFERENCE TRACKS: - Cloud Models - SaaS, IaaS, PaaS - Security, Privacy and Trust - Software Systems, Models and Architectures - Mobile Cloud Services - Data and Knowledge Management - Context-awareness and Location-awareness - Software-defined Networking - Performance Evaluation and Modelling - Networking and Communication Protocols - IoT Services and Applications - Smart Environment - Enterprise and Business Models - Energy Efficiency - Federation and Virtualization - Fog and Edge Computing - Industry Track - General Track Paper submission and Publication: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 6 pages. Papers should be prepared using IEEE two-column template. See instructions on the conference website ( http://www.ficloud.org/2019/) All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services. Authors of selected papers will be invited to submit extended versions of their papers for special issues in international journals (see conference website). Important Dates: Submission Deadline (Extended): 02 April 2019 Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 General Chairs: Vincenzo Piuri, University of Milan, Italy Irfan Awan, University of Bradford, UK Program Chairs: Takahiro Hara, Osaka University, Japan Muhammad Younas, Oxford Brookes University, UK Local Organising Chairs: Perin Unal, Teknopar, Turkey Sezer Gören Ugurdag, Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Workshop Coordinator: Filipe Portela, University of Minho, Portugal Journal Special Issues Coordinator: Lin Guan, Loughborough University, UK Publicity Chair: Joyce El Haddad, University of Paris Dauphine, France Publication Chair: Barbara Masucci, University of Salerno, Italy Track Chairs: Antonio Celesti, University of Messina, Italy Edmundo Madeira, University of Campinas, Brazil Helen Karatza, Aristotle University of Thessaloniki, Greece Joyce El Haddad, University of Paris Dauphine, France Khaled Aloufe, Taibah University, Saudi Arabia Luiz Fernando Bittencourt, University of Campinas, Brazil Madihah Mohd Saudi, Universiti Sains Islam Malaysia, Malaysia Marcin Bajer, ABB Corporate Research Kraków, Poland Marisa Catalan Cid, i2Cat Foundation, Spain Marwan Hassani, Technische Universiteit Eindhoven, The Netherlands Natalia Kryvinska, University of Vienna, Austria Patience Anitta Namanya, Nettitude Group, UK Rafael Angarita, INRIA and Isep, Paris, France Ron Austin, Birmingham City University, UK R. Venkatesha Prasad, Delft University of Technology, The Netherlands Tacha Serif, Yeditepe University, Turkey Tuna Tugcu, Bogaziçi University, Turkey Vijay S. Rao, Delft University of Technology, The Netherlands A. S. M. Kayes, La Trobe University, Australia

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