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CFPs: MCWN@HPCS19 - Final Extension April 20, 2019
by Ramona Trestian 19 Apr '19

19 Apr '19

[Apologies if you receive multiple copies] Call for Papers --------------- International Symposium on High Performance Mobile Computing & Wireless Networks for HPC (MCWN 2019) As part of The 17th International Conference on High Performance Computing & Simulation (HPCS 2019) 15 - 19 July 2019, Dublin, Ireland http://hpcs2019.cisedu.info/2-conference/symposia/symp03-mcwn All accepted and presented papers will be included in the HPCS 2019 conference proceedings. HPCS Proceedings are planned to be published in IEEE XPLORE and indexed by all major indexing services including SCOPUS, EI, SCI, dblp, etc. IMPORTANT DATES --------------- Paper Submission (Firm Deadline): 20 April, 2019 Notification: 30 April, 2019 Camera-Ready: 10 May, 2019 ------------------------------------------------------------ Submission link: https://easychair.org/conferences/?conf=mcwn2019 ------------------------------------------------------------ Welcome to the International Symposium on High Performance Mobile Computing & Wireless Networks for HPC (MCWN 2019) taking place in Dublin, Ireland. As a part of HPCS conference, MCWN 2019 will target original work focusing on modeling, performance analysis, testbeds, and simulation results in the areas of mobile and wireless networks, mobile computing, applications and systems. MCWN 2019 is aiming to attract a large number of high-quality submissions and stimulate cutting-edge research discussions among many academic researchers/scientists and industrial engineers/leaders from all around the world, especially with the intersection of mobility and future integrated HPC systems. Submission Instructions: ------------------------ Papers should neither have been published elsewhere nor currently under review by another conference or journal. All papers must be written in English and formatted according to the standard IEEE 2-column format. The IEEE template can be found here: https://www.ieee.org/conferences/publishing/templates.html The symposium accepts three types of submissions, specifically regular papers (5 to 8 pages), short papers (3 to 4 pages), and poster papers. The Symposium topics include (but are not limited to) the following: -------------------------------------------------------------------- Mobility and High Performance Computing Systems Mobile Cloud Computing for High-availability Computing Mobility, Data Centers, and Data Analytics with HPC Environments Internet of Things and High Performance Computing Sensors Networks in High Performance Computing Mobile Message Passing Mobility Models for Opportunistic Networks Machine Learning in mobile and wireless Communication Networks Novel Architectures, Middleware Support, Prototypes and Testbeds Communication Protocols Resilient High Performance Mobile Computing and Wireless Nets Middleware for High-performance Computing in Mobile Systems Real-time Wireless systems' simulation and Performance Analysis Using HPC HPC Based Self-configurable Mobile and Wireless Networks Large Scale Mobile Systems and Schemes for High-performance Computing Reliable Mobile and Wireless Applications and Services and High-performance Computing Mobile Urban Sensing and Crowdsensing Mobile Social Networking and Applications Context-aware Computing for High Performance Computing Systems Content-centric Architectures, Content management and Distribution for Mobile Users Resource Availability and Management for Mobile and Wireless High Performance Computing Modeling and Simulation of Complex Mobile and Wireless Networks System Prototypes, Measurements, Real Deployment, and Experiences Security and Privacy issues for Wireless and Mobile Computing Adaptive and Self-Organizing Networks Energy harvesting and green communication techniques in mobile and wireless networks Optical Networks and Interconnects Network Modeling and Simulation, Design and Evaluation SYMPOSIUM ORGANIZERS -------------------- Dr. Gabriel-Miro Muntean, Dublin City University, Dublin, Ireland Dr. Irina Tal, National College of Ireland, Dublin, Ireland Dr. Ramona Trestian, Middlesex University, London, U.K. Dr. Ioan-Sorin Comşa, Brunel University London, Uxbridge, U.K. Kind Regards, Ramona Dr. Ramona Trestian Senior Lecturer in Computing and Communications Engineering Design, Engineering and Maths | Faculty of Science and Technology Middlesex University The Burroughs, Hendon London NW4 4BT Room: T115, Town Hall Tel: +44(0)20 8411 2901 Web: http://www.mdx.ac.uk/about-us/our-people/staff-directory/trestian-ramona Research Gate: https://www.researchgate.net/profile/Ramona_Trestian

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Call For Papers: The 1st International Workshop on Human-oriented Intelligent Defence Against Malware Threats (HIDAMT) 2019
by Andrii Shalaginov 17 Apr '19

17 Apr '19

Dear Colleague, (Apologies for multiple postings) You are welcome to submit your contributions to the workshop on Human-oriented Intelligent Defence Against Malware Threats, which will be held as a part of the 28th International Joint Conference on Artificial Intelligence (IJCAI) 2019. The conference will take place on the 10-16th of August 2019 in Macao, China. Workshop webpage and detailed information: https://folk.ntnu.no/andriis/hidamt2019/ *** IMPORTANT DATES *** May 2, 2019 (extended from Apr 12): Due date for full workshop paper submissions May 22, 2019 (extended from May 10): Paper acceptance notification June 14, 2019 (extended from Jun 3): Final camera-ready papers submission Aug 10-12, 2019: Workshops and conference *** INTRODUCTION *** Recent cybersecurity incidents involving malware demonstrated how serious the consequences can be for both individual users and large organizations. McAfee report on malware threats shows that over four quarters of 2017 there were identified 690 millions of malware samples, which is an extreme number considering amount of manual work required to process even a tiny fraction of those. Many malware analysis across different security organizations spent hours trying to analyze and understand functionality of malware. At the same time overwhelming amount of malicious threats and malware forms cause considerable delays from the time malware has been discovered to the time a corresponding efficient signature was created. Moreover, the malware infection is no longer limited to personal computers, but now also hits such components as Internet of Things and Industrial Control Systems, which were previously unaffected and the cybersecirty impact was underestimated. From before Machine Learning and Computational Intelligence have demonstrated advantages of application in cybersecurity-related tasks. In particular, many researchers have been employing such techniques to mitigate obfuscation, polymorphous and encryption while building intelligent malware detection mechanisms. Intelligent malware analysis and detection is an emerging topic of cybersecurity that has to go in line with advancement of malware developers and consistent presence of zero-day attacks. Our focus is not only to build and effective Machine Learning-based malware protection, but also comprise models that are to be understood by human experts. Therefore, we believe that Machine Learning-aided human-oriented approaches will ensure timely response to malware threats. Moreover, those can serve as a stepping stone in faster and more efficient analysis of novel malware as well as similarity-based identification of adversarial attacks on Machine Learning. *** PROPOSED TOPICS *** Note that the topics are not limited to this proposed list. 1. Automated pre-processing phase - Efficient features identification and construction - Novel approaches for malware categorization - Human-understandable characterization of malware - Indicators of Compromise as successful identification tool - Information Fusion and Open Threats Intelligence 2. Advanced computational methods - Deep Learning models - Similarity-based analysis to avoid evasion - Big Data-oriented optimization of detection - Hybrid Intelligence and Soft Computing - Secure and robust models to avoid adversarial attacks 3. Combating malware in a wild - End-point implementations - Novel malware collection and sharing platforms - Applications in Decision Support Systems - Human reasoning in Machine Learning-aided malware detection - Real-time defence and online learning - Explainable rules derived from train Machine Learning models *** PROGRAM CO-CHAIRS *** Andrii Shalaginov, Norwegian University of Science and Technology Geir Olav Dyrkolbotn, Center for Cyber and Information Security Sergii Banin, Norwegian University of Science and Technology Ali Dehghantanha, University of Guelph Katrin Franke, Norwegian University of Science and Technology *** PROGRAM COMMITTEE *** Olaf M. Maennel (Tallinn University of Technology) Asif Iqbal (KTH Royal Institute of Technology) Oleksandr Semeniuta (Norwegian University of Science and Technology) Mamoun Alazab (Charles Darwin University) Vasileios Mavroeidis (University of Oslo) Sreyasee Das Bhattacharjee (University of North Carolina at Charlotte) Igor Kotsiuba (Pukhov Institute for modeling in Energy Engineering) Mark Scanlon (University College Dublin) Piotr Andrzej Kowalski (AGH University of Science and Technology) Reza Parizi (Kennesaw State University) Mohammad Hamoudeh (Manchester Metropolitan University) Gregory Epiphaniou (University of Wolverhampton) Bojan Kolosnjaji (Technical University of Munich) Shih-Chieh Su (‎Microsoft) -- Best regards / Med vennlig hilsen, ―- Andrii SHALAGINOV, PhD Postoctoral Researcher in Digital Forensics Malware Analyst IEEE Member Norwegian University of Science and Technology NTNU | http://www.ntnu.edu/employees/andrii.shalaginov

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CFP: Deep-ML 2019 Deadline extended (Firm) 23 April 2019
by Deep ML 17 Apr '19

17 Apr '19

Apologies for possible cross posting ---------------------- Call for Papers - Deadline Extended (Firm) 23 April 2019 ---------------------------- 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/ <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. Important Dates: Submission Deadline (Extended - Firm): 23 April 2019 Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 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

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Call For Papers- Journal of Real Time Image Processing
by POURYA SHAMSOLMOALI 17 Apr '19

17 Apr '19

Special Issue on Advances in Deep Learning for Real-Time Image Reconstruction and Processing ( ADLIR ) Journal of Real-Time Image Processing The list of possible topics, but are not limited to: * Real-time image and video reconstruction algorithms * Real-time face reconstruction from depth images * New deep learning models for real-time image reconstruction and processing * New objective functions of deep learning for real-time image reconstruction * Real-time MRI and X-ray image processing * Real-time 3D image reconstruction, processing or segmentation * Deep learning and Hybrid models for real-time computational methods * Real-Time deep learning applications for image processing * Survey /review of deep learning in real-time image reconstruction Submission Guideline: Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, the significance of contribution, technical quality, and quality of presentation, by at least three independent reviewers (the papers will be reviewed following standard peer-review procedures of the Journal). Manuscripts are requested according to the Guide for Authors available from the online submission page of the Journal of Real-Time Image Processing (JRTIP) at https://www.editorialmanager.com/rtip/default.aspx . We invite the prospective authors to submit their manuscript, via the online submission system in the main journal page. Please make sure you mention in your cover letter that you are submitting to this special issue (ADLIR). Important Dates: * Paper submission due: April 30, 2019 * First notification: June 30, 2019 * Revision submission due: August 15, 2019 * Final decision: October 30, 2019 * Publication date: December 2019 (Tentative) Note: accepted papers are made available online soon after acceptance. https://static.springer.com/sgw/documents/1650125/application/pdf/CALL+FOR+…

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[CPF] [IEEE PACRIM 2019] 2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)
by Jimmy Yiming HUO 15 Apr '19

15 Apr '19

[Our apologies if you receive multiple copies of this CFP] CALL FOR PAPERS IEEE Pacific Rim Conference on Communications, Computers, and Signal Processing Victoria, BC, Canada, August 21-23, 2019 Established in 1987, Pacific Rim Conference is the premier IEEE biennial event in the Pacific Northwest. It is our pleasure to invite you to participate in this event, which serves as an international forum for experts, researchers, and practitioners from academia, industry, and government to exchange ideas and new results in the broad areas of communications, computers, and signal processing. All accepted papers will appear in IEEE Xplore. The scope of PACRIM’19 encompasses but is not limited to: Communications • Communication Theory • Wireless Communications & Networking • OFDM, Multicarrier & MIMO Systems • Millimeter Wave Communications • Cooperative & Collaborative Systems • Channel Measurement & Modeling • Cognitive Radio and Networks • Resource & Mobility Management • Network Architecture & Protocols • Communication & Networking Testbeds • Cross-layer Design • Green Communications • Optical Communications • Satellite and Space Communications • Smart Grid Communications • Internet of Things • Machine Learning for Communications • Security and Cryptography Computers • Computer Architecture • Parallel and Distributed Computing • Grid and Cloud Computing • Web Applications and Mining • Multimedia and Network Processors • Data Mining and Knowledge Based Systems • Embedded, Reconfigurable, and Power-Aware Systems • Virtualization • Cyber Security and Privacy • Neural Networks and Genetic Algorithms • Application Specific Hardware Acceleration • Multi-core Processors and Applications Signal Processing • Signal Processing Theory and Methods • Signal Processing for Medical and Biological Applications • Signal Processing for Communications • Machine Learning for Signal Processing • Signal Processing for UAV Systems and IoT • Graph Signal Processing and Applications • Tensor Methods and Applications • Video and Image Processing • Speech and Audio Processing • Multimedia Signal Processing • Underwater Platforms and Sensors • Array Signal Processing • Sparse Signal Processing • Information Forensics • Computer Vision SUBMISSION GUIDELINES Please check IEEE PacRim'19 website (https://www.ece.uvic.ca/~pacrim/pacrim19 <https://www.ece.uvic.ca/~pacrim/pacrim19>) for instructions on manuscript format and submission. All papers should be submitted via EDAS through the following link: https://edas.info/N26171 <https://edas.info/N26171> Important Deadlines Submission Due: May 20, 2019 Acceptance Notification: June 30, 2019 Camera Ready Version: July 15, 2019 Registration by: July 21, 2019 Keynote Speaker: Prof. Fumiyuki Adachi, an IEEE Life Fellow and an IEICE Fellow. He was a recipient of the IEEE Vehicular Technology Society Avant Garde Award 2000, IEICE Achievement Award 2002, Thomson Scientific Research Front Award 2004, Ericsson Telecommunications Award 2008, Prime Minister Invention Award 2010, KDDI Foundation Excellent Research Award 2012, C&C Prize 2014, IEEE VTS Stuart Meyer Memorial Award 2017, and IEEE ComSoc RCC Technical Recognition Award 2017.

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[Deadline Approaching]: The 24th European Symposium on Research in Computer Security (ESORICS 2019)
by Publicity Chair ESORICS 2019 15 Apr '19

15 Apr '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 at Buffalo, 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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Challenges in HPC workshop Sep 2-6, registrations open
by Peter Strazdins 15 Apr '19

15 Apr '19

Registration is now open for: Challenges in High Performance Computing 2-6 September 2019 Location: Hanna Neumann Building (145), The Australian National University, Canberra, ACT, Australia Website: https://maths.anu.edu.au/news-events/events/challenges-high-performance-com… About: Scientific computing is often termed as the "third way to do science", alongside theory and experiments. The focus of the workshop is to investigate the current challenges of solving large scale problems on high performance computers. To achieve optimal performance it is critical to incorporate techniques that are at the forefront of both the mathematical and computer sciences. Consequently, the workshop has a strong multidisciplinary focus covering the five important areas of: Algorithms, Applications, Middleware, Resilience and Software. Each day of the conference will address one of these topics. A review lecture will be given in the morning by an eminent researcher in that area. Participants are invited to give more specialised talks in the afternoon, followed by a discussion session. The major aim of the workshop is to foster cooperation and communication between members of each of these five different communities, as well as to strongly encourage student participation. Invited Speakers: Algorithms: David Keyes, King Abdullah University of Science and Technology Resilience: Ulrich Ruede, Friedrich-Alexander-University of Erlangen-Nuremberg Software: Lois Curfman McInnes, Argonne National Laboratory Applications: Raquel Salmeron, Airservices Australia Middleware: George Boscila, University of Tennessee Organising committee: Brendan Harding, University of Adelaide Stuart Hawkins, Macquarie University Lilia Ferrario, Australian National University Linda Stals, Australian National University Peter Strazdins, Australian National University Contact: Brittany Joyce admin.research.msi(a)anu.edu.au Part of the Special Year 2019: Computational Mathematics https://maths.anu.edu.au/news-events/event-series/special-year-2019-computa… -- Regards, Peter ------------------------------------------------------------------------ Peter Strazdins, PhD GCHE, SIEEE SFHEA Research School of Computer Science ANU College of Engineering and Computer Science CSIT Building 108, North Rd The Australian National University, Canberra ACT 2601 AUSTRALIA T: +61 2 6125 5140 F: +61 2 6125 0010 W: http://cs.anu.edu.au/~Peter.Strazdins E: Peter.Strazdins(a)cs.anu.edu.au ------------------------------------------------------------------------

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23rd Pan-Hellenic Conference on Informatics (PCI 2019): First Call for Papers
by Announce Announcements 14 Apr '19

14 Apr '19

*** FIRST CALL FOR PAPERS *** 23rd Pan-Hellenic Conference on Informatics (PCI 2019) University of Nicosia, Nicosia, Cyprus, November 28-30, 2019 http://www.cs.ucy.ac.cy/~george/lm/lm.php?tk=Y29tcHV0YXRpb25hbC5zY2llbmNlCQ… *** Submission Deadline: September 10, 2019 *** *** Proceedings to be published by ACM ICPS (pending approval) *** The University of Nicosia, the University of Cyprus, the Open University Cyprus and the Greek Computer Society organize the 23rd Pan-Hellenic Conference on Informatics (PCI 2019) in Nicosia, Cyprus on November 28-30, 2019. PCI 2019 aims to provide an effective channel of communication among researchers, practitioners, decision-makers and entities concerned with the latest research, scientific development and practice on ICT to discuss current, state-of-the-art topics that are of relevance and significance for national competitiveness as well as for sustainable, robust and equitable regional development. Submissions to PCI 2019 might cover, but are not limited, to the following topics: · Algorithms & Data Structures · Artificial Intelligence · Bioinformatics · Bio & Nature Inspired Computing · Blockchain Technologies · Cloud Computing · Communication & Information Systems Security and Privacy · Computational Science · Computer & Communication Networks · CRM & ERP Systems · Databases · Data Mining · Digital Libraries · Digital Systems · Distributed Computing · eCommerce, eBusiness, eHealth · Telecommunication Systems · Wireless & Mobile Computing · Learning Technologies · Graphics, Visualization, Multimedia & Virtual Reality · Grid, Cluster & P2P Computing · Hardware & Architecture · Embedded Systems · Human-Computer Interaction · Image and Video Processing · Information Retrieval · Information Society: Legal and Regulatory Issues · Information Systems · Information Theory · Knowledge Based Systems · Numerical & Scientific Computation · Open Source Software · Operating Systems · Parallel & Distributed Systems · Programming Languages · Signal Processing · Software Engineering PCI 2019 encourages the submission of high quality papers with original content in the following tracks: · Research Paper: full paper (8 pages) describing original and unpublished results of conceptual, empirical, experimental, or theoretical work in all areas of Computer Science. · Research Project Results: extended abstract (2 pages) presenting the results of funded completed or ongoing research projects at national or European level. · Industry: extended abstract (2 pages) presenting novel industrial solutions, success stories, and challenges that are encountered in an industry setting when adopting IT technologies. Templates for submissions can be found at the ACM SIG proceedings website: http://www.cs.ucy.ac.cy/~george/lm/lm.php?tk=Y29tcHV0YXRpb25hbC5zY2llbmNlCQ… Papers should be submitted via EasyChair (link to be available on the conference web site). The submitted research papers and extended abstracts will be peer-reviewed on the basis of technical quality, relevance to scope of PCI, originality, significance, and clarity. Note that submitted papers should have neither been published nor submitted for publication elsewhere. The working language of the conference is English and the papers should be written in that language. As in previous years, the final version of the research papers accepted for presentation at PCI 2019 will be published by ACM in the ICPS Series (pending approval) and will be included in the ACM Digital library. The accepted extended abstracts will be allocated either a demo or poster slot during the conference. At least one author of each accepted paper or abstract is expected to register, attend the conference and present their contribution. Important Dates · Paper submission deadline: September 10, 2019 · Notification of paper acceptance/rejection: October 17, 2019 · Submission of camera ready papers: October 24, 2019 · Author registration: October 24, 2019 General Chairs · Yannis Manolopoulos, Open University Cyprus, Cyprus · George Angelos Papadopoulos, University of Cyprus, Cyprus · Athena Stassopoulou, University of Nicosia, Cyprus Program Chairs · Ioanna Dionysiou, University of Nicosia, Cyprus · Ioannis Kyriakides, University of Nicosia, Cyprus · Nicolas Tsapatsoulis, Cyprus University of Technology, Cyprus Local Advisory Committee · Demetris Trihinas (chair, University of Nicosia) · Achilleas Achilleos (Frederick University Cyprus) · Panayiotis Andreou (University of Central Lancashire-Cyprus) · Christodoulos Efstathiades (European University Cyprus) · Angelika Kokkinaki (University of Nicosia) · Ioannis Krikidis (University of Cyprus) · Jahna Otterbacher (Open University Cyprus) · Vicky Papadopoulou (European University Cyprus) · Nearchos Paspallis (University of Central Lancashire-Cyprus) · Michalis Sirivianos (Cyprus University of Technology) · Stavros Stavrou (Open University Cyprus) · Demetris Zeinalipour (University of Cyprus)

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Post-doc position at Inria Rennes (France) for 18 months on Modeling Energy Consumption of Heterogeneous Numerical Infrastructures in HPC
by Laurent Lefevre 12 Apr '19

12 Apr '19

« Modeling Energy Consumption of Heterogeneous Numerical Infrastructures in HPC » Energy consumption is one of the main limiting factor for the design and deployment of large scale numerical infrastructures [4]. The road towards "Sustainable Exascale" is a challenge with a target of 50 Gflops per watt. Energy efficiency must be taken into account and must be combined with other criteria like performance, resilience, quality of service. In particular, power consumption is critical and power peaks should be avoided to ensure the proper power supply of the large-scale infrastructure [2]. As platforms become more and more heterogeneous (co-processors, GPUs, low power processors...), a deep understanding on how application and services can efficiently run on such large scale infrastructures remains a challenge. Simulation of infrastructures (like by using the SimGrid framework [1]) makes a significant step towards this direction. The post-doc will explore the energy consumption issues in large scale high performance heterogeneous computing platforms by measuring the actual energy consumption on real infrastructures (including Grid’5000 test-beds), and proposing end-to-end energy models for large-scale HPC infrastructures. These models will account for data movement and computations. Their integration within the SimGrid framework will allow to test what-if scenarios in order to determine for given HPC applications what would be the most suitable hardware architecture in terms of computation cores and network configuration. Several performance and energy models will be explored depending on targeted computing resources mixing simulated GPUs and low power processors. The post-doc will manage, propose and analyze several experimental scenarios in order to validate proposed solutions and to design energy-efficient HPC applications. The candidate will be located in Inria Myriads team (IRISA, Rennes, Anne-Cécile Orgerie as principal advisor) and co-advised with the Avalon team (LIP, Lyon with Laurent Lefevre co-advisor). This post-doc of 18 months will be part of the Inria International Project Lab HAC SPECIS (High-performance Application and Computers, Studying PErformance and Correctness In Simulation)[3]. References : [1] - SimGrid : http://simgrid.gforge.inria.fr/ [2] - Kun Tang, Devesh Tiwari, Saurabh Gupta, Ping Huang, Qi Lu, Christian Engelmann, and Xubin He, "Power-capping Aware Checkpointing: On the Interplay among Power-capping, Temperature, Reliability, Performance, and Energy", IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2016. [3] - IPL HAC Specis : http://hacspecis.gforge.inria.fr/ [4] - Anne-Cécile Orgerie, Marcos Dias de Assunção and Laurent Lefèvre, "A Survey on Techniques for Improving the Energy Efficiency of Large Scale Distributed Systems", ACM Computing Surveys, Volume 46, Issue 4, December 2014 For applying to the position go to : https://jobs.inria.fr/public/classic/fr/offres/2019-01521 Contacts : Laurent Lefevre (laurent.lefevre(a)inria.fr) and Anne Cécile Orgerie (anne-cecile.orgerie(a)inria.fr)

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CFP: The Int. Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML 2019)
by Deep ML 11 Apr '19

11 Apr '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. Important Dates: Submission Deadline (Extended): 16 April 2019 Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 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

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