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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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CFP: 7th Int. Conf. on Future Internet of Things and Cloud (FiCloud 2019)
by FiCloud Conference 11 Apr '19

11 Apr '19

----------------------Call for Papers (Final Call)------------------------------------------------ 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 (Firm): 16 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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[Announcement] Aristotle University of Thessaloniki MULTIDRONE video dataset for racing bicycle detection/tracking from aerial footage
by Ioannis Mademlis 09 Apr '19

09 Apr '19

== Public video dataset for racing bicycle detection/tracking from aerial footage == The Aristotle University of Thessaloniki (AUTH) is making publicly available a video dataset for racing bicycle detection/tracking from aerial footage, under the auspices of the MULTIDRONE research and development project (https://multidrone.eu/) Benchmark_RAI has been prepared by processing/editing and annotating material made available by Radiotelevisione Italiana (RAI) under the “Giro 2017” MULTIDRONE dataset. It is a dataset consisting of two videos (resolutions: 768 x 432 and 960 x 540) at 25 frames per second. The videos are from Giro d’Italia TV coverage provided by RAI. Annotations are exhaustive, i.e., all objects of a certain class present in a given image are covered by an annotation. Directions for accessing and using the dataset can be found at www.aiia.csd.auth.gr/LAB_PROJECTS/MULTIDRONE/AUTH_MULTIDRONE_Dataset.html ----------------------------------------------------------- Ioannis Mademlis, Ph.D. Research Assistant Artificial Intelligence and Information Analysis Lab (AIIA) Aristotle University of Thessaloniki

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Basics of Parallel Debugging April 12, 2019 2PM CST
by Mary Ann Leung, Ph.D. 08 Apr '19

08 Apr '19

Please share this announcement ============================== Sustainable Horizons Institute Webinar Series Presents: Basics of Parallell Debugging In this webinar, we will introduce participants to strategies for debugging programs utilizing parallel execution. We will first explore how to leverage GNU debugger GDB to investigate some bugs in programs using MPI and OpenMP threading. Then participants will be introduced to the commercial software DDT and how to use that for more efficient parallel debugging. A brief discussion on debugging GPU programs will also be included. TO R EGISTER visit the link: https://goo.gl/forms/ZVdGDRLIoF9Sdhy73 Dr. Jeremy Melvin is an ICES postdoctoral fellow at the University of Texas at Austin. He received his Ph.D in Computational Applied Mathematics from Stony Brook University. His research interests are focused on developing tools and models to improve the predictive capabilities of numerical simulations for turbulent flows in complex engineering problems. This free webinar is part of a quarterly series aimed toward students and early career professionals in STEM, and is organized through the Sustainable Horizons Institute. To contact the SHI Webinar Committee, please email info(a)shinstitute.org If you, or someone you know is interested in giving a webinar, please send us an email!

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ACDL 2019 Titles & Abstracts - Application deadline approaching: April 15 - dvanced Course on Data Science & Machine Learning, Siena - Tuscany, Italy, July 15-19
by Ludovico Montalcini 07 Apr '19

07 Apr '19

ACDL 2019, 2nd Advanced Course on Data Science & Machine Learning, Siena - Tuscany, Italy, July 15-19 - Early Registration: April 15 *** Application deadline approaching: April 15 *** * Apologies for multiple copies. Please forward to anybody who might be interested * ACDL 2019, 2nd Advanced Course on Data Science & Machine Learning An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders ACDL 2019 – A Unique Experience: Data Science, Machine Learning & AI with the World’s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano Certosa di Pontignano, Siena - Tuscany, Italy July 15-19, 2019 https://acdl2019.icas.xyz acdl(a)icas.xyz Early registration deadline: April 15 https://acdl2019.icas.xyz/registration/ LECTURERS: Each Lecturer will hold three lessons on a specific topic. https://acdl2019.icas.xyz/lectures/ Ioannis Antonoglou, Google DeepMind, UK Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Marco Gori, University of Siena, Italy Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Phillip Isola, MIT, USA Lecture 1: Introduction to Generative Adversarial Networks Lecture 2: Conditional GANs and Data Prediction Lecture 3: GANs for Domain Translation Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA Lecture 1: Learning in the factory and in the wild: designing robot systems that learn Lecture 2: Learning factored transition models for planning in complex hybrid spaces Lecture 3: Learning to speed up planning in complex hybrid spaces Ilias S. Kotsireas, Wilfrid Laurier University, Canada Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Dolores Romero Morales, Copenhagen Business School, Denmark Lecture 1: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (Part 1) Lecture 2: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (Part 2) Lecture 3: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (Part 3) Panos Pardalos, University of Florida, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Ruslan Salakhutdinov, Carnegie Mellon University & AI Research at Apple, USA Lecture 1: Introduction to Deep Learning, Neural Networks & Convolutional Neural Networks Lecture 2: Deep Unsupervised Learning Lecture 3: Recent Advances and New Challenges for Deep Learning Lecture 4: Deep Learning for Natural Language Processing/Reading Comprehension Josh Tenenbaum, MIT, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Naftali Tishby, Hebrew University, Israel Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands Lecture 1: Introduction to Automated Machine Learning (AutoML) Lecture 2: Meta-learning Lecture 3: AutoML and meta-learning for neural networks Oriol Vinyals, Google DeepMind, UK Lecture 1: Graph Neural Networks Lecture 2: Reinforcement and Imitation Learning at Scale: AlphaStar and Beyond Lecture 3: Meta Learning SCOPE: The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. CALL FOR POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://acdl2019.icas.xyz/registration/ Early registration deadline: April 15 ACDL 2019 Best Poster Award AIxIA sponsors the ACDL 2019 Best Poster Award with a cash prize of 600 Euro. VENUE & ACCOMMODATION: The venue of ACDL 2018 will be The Certosa di Pontignano — Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info(a)lacertosadipontignano.com lorenzopasquinuzzi(a)lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2019.icas.xyz/venue/ ACCOMMODATION: https://acdl2019.icas.xyz/accommodation/ REGISTRATION: https://acdl2019.icas.xyz/registration/ We remind you that ACDL 2018 sold out a long time before the registration deadline! Anyone interested in participating in ACDL 2019 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in Tuscany next July! ACDL 2019 Organizing Committee. ACDL 2019 Poster: https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/01/poster-ACDL-20… acdl(a)icas.xyz https://acdl2019.icas.xyz Past Edition - ACDL 2018: https://acdl2018.icas.xyz https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences * Apologies for multiple copies. Please forward to anybody who might be interested * * Please help us distributing in your circles (emails, blogs, and social networks) the call for participation and call for oral talks/posters for ACDL 2019. Together we will make ACDL 2019 a great event! *

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