PRIMORIS      Contacts      FAQs      INSTICC Portal
 

Keynote Lectures

Next Generation Emergency Communications
Charalabos Skianis, University of the Aegean, Greece and Evangelos Pallis, Technological Educational Institute of Crete, Greece

Representation and learning of structured dynamic Bayesian models in non stationary environments
Carlo Regazzoni, University of Genova, Italy

Available Soon
Jan Camenisch, IBM Research - Zurich, Switzerland

Speeding up the execution of numerical computations and simulations with rCUDA
Jose Duato, UPV, Spain

 

 

Next Generation Emergency Communications

Charalabos Skianis
University of the Aegean
Greece


Brief Bio
Dr. Charalabos Skianis is currently an Associate Professor with the University of the Aegean, Greece. He is acting as Head of the Department and Director of Postgraduate Studies in the Engineering Department of Information and Communication Systems, University of the Aegean, Greece. He holds a PhD degree in Computer Science, University of Bradford, United Kingdom and a BSc in Physics, Department of Physics, University of Patras, Greece. His current research activities take upon Novel Internet Architectures and Services, Cloud Computing & Networking, Energy & Context aware Next Generation Networks and Services, management aspects of mobile and wireless networks, ubiquitous and pervasive computing and End-to-End Quality of Service provisioning in heterogeneous networks environment. He has been actively working on the area of computer and communication systems performance modeling and evaluation where he has introduced alternative methodologies for the approximate analysis of certain arbitrary queuing network models. He is also keen in traffic modeling and characterization, queuing theory and traffic control of wired and wireless telecommunication systems. His work is published in journals, conference proceedings and as book chapters and has also been presented in numerous conferences and workshops. He acts within Technical Program and Organizing Committees for numerous conferences and workshops and as a Guest Editor for scientific journals. He is at the editorial board of journals, a member of pronounced professional societies and an active reviewer for several scientific journals. He is an active member of several committees and organizations eg., past IEEE ComSoc CSIM chair, education board, young researcher awards board, currently responsible for DLT program for EMEA region. He has participated in several R&D projects Nationally and EU funded and has acted as project coordinator, technical manager and partner representative.


 
Evangelos Pallis
Technological Educational Institute of Crete
Greece


Brief Bio
Dr. Evangelos Pallis is Associate Professor in the Informatics Engineering department at TEI of Crete, acting as director of the Network Engineering division, Head of the Research and Development of Telecommunications Systems laboratory (PASIPHAE) and departmental coordinator for the ERASMUS+ programme. His research interests are in the fields of wireless networks and mobile telecommunications, linear and interactive broadcasting, network management and QoS, as well as in service/network virtualization over SDN/NFV infrastructures. He has participated in more than 30 National and EU-funded R&D projects, acting as technical and/or scientific manager, and currently is involved in the ICT/FP7 619520 “T NOVA”, the H2020-DRS-653762 “EMYNOS” and the KA203-023637 “NEREUS” EU-funded projects. Evangelos Pallis is member of the IEEE/ComSoc, holds the General Chair of the bi-annual International Conference on telecommunications and Multimedia (TEMU), which is technical co-sponsored by IEEE/ComSoc, editorial board member (regional editor) for the Information Technology Journal and the Research Journal of Information Technology of Science Alert, active reviewer in scientific journals, and distinguished member of the “Union of Regional Televisions of Greece”.


Abstract
Current emergency systems and 112 services are based on legacy telecommunication technologies, which cannot cope with IP-based services that European citizens use every day. Some of the related limitations are the partial media support (so far, only voice calls and SMS are accepted), the lack of integration of social media, and the use of an analogue modem for providing e-Call services with limited data amount. As most operators, have started migrating towards broadband IP-based infrastructures, current emergency systems need also to be upgraded/adapted to fulfil regulatory requirements in terms of Next Generation emergency services. Τhe main objective of the talk is the design and implementation of a Next Generation platform capable of accommodating rich-media emergency calls that combine voice, text, and video, thus constituting a powerful tool for coordinating communication among citizens, call centres and first responders. Additionally, issues such as call routing/redirection to the closest available call centre, retrieval of the caller location, hoax calls prevention, support for people with disabilities, and integration of social media will be addressed. The talk will address solutions that enable users to make emergency calls across heterogeneous devices (e.g. PCs, TV sets, mobile, AAC and haptic devices) using various mature technologies, including those making use of the Session Initiation Protocol (SIP), the IP Multimedia Subsystem (IMS), and WebRTC framework. Suitable use cases will also showcase how the e-Call concept can benefit from the IP technologies by allowing audio-video calls towards the emergency call centres and complementing location information, with photos and videos.


 

 

Representation and learning of structured dynamic Bayesian models in non stationary environments

Carlo Regazzoni
University of Genova
Italy


Brief Bio
Carlo S. Regazzoni (Ph.D.) is full professor of Cognitive Telecommunications Systems at DITEN, University of Genova, Italy. His main research interests include (see www.isip40.it) cognitive dynamic systems, adaptive and self-aware video processing, tracking and recognition, generative models and inference schemes based on hierarchical dynamic Bayesian networks, software and cognitive radio. He has been responsible of several national and EU funded research projects. He is currently coordinator of international PhD courses on Interactive and Cognitive Environments involving several European universities. He is author of peer-reviewed papers on international journals (90) and international conferences/books (350). He served as general chair (IEEE AVSS2009), technical program chair (IEEE ICIP2005, NSIP2002), associate editor (IEEE Trans on Image Processing, IEEE Trans on Mobile Computing, et al.), guest editor (Proceedings of the IEEE, IEEE Signal Processing Magazine et al.) in international conferences and Journals. He has served in many roles in governance bodies of IEEE SPS. He is currently serving as Vice President Conferences IEEE Signal Processing Society in 2015-2017.


Abstract
A large part of current research in ICT is centred on terms like Internet of Things or Big Data, that are focused on the benefits that interconnected smart machines and intelligent industrial processes can have in our society. Enabling techniques that are underlying such processes aim towards an increased capability of adaptive and autonomous automation of physical and logical “Things”, that has as implication the definition of new computational paradigms and frameworks. A key role is here represented by probabilistic signal processing architectures and techniques for representation and learning. Such techniques have a sufficient maturity to be good candidates for capturing generality, self-awareness, adaptability, flexibility and reconfigurability through experience based learning that is needed to make it possible “Things” to adapt their behaviors in non stationary environments where they will have to operate. In this talk, Dynamic Bayesian models and related machine learning techniques will be presented and discussed. It will be shown that such techniques could be used within a Cognitive Dynamic System framework associated with “Ego-Things” i.e. self-aware smart objects adaptively performing computation driven tasks associated with their physical or logical actuation capability in non stationary environments. Applications examples will be presented dealing with crowd surveillance in smart buildings, and, more in general, with dynamic functionalities in cognitive environments composed by smart ego-objects.


 

 

Available Soon

Jan Camenisch
IBM Research - Zurich
Switzerland


Brief Bio
Dr. Jan Camenisch is a Principal Research Staff Member at IBM Research - Zurich and leads the Privacy & Cryptography research team. He's a member of the IBM Academy of Technology and an IEEE Fellow.
He is a leading scientist in the area of privacy and cryptography, has published over 100 widely cited papers, and has received a number of awards for his work, including the 2010 ACM SIGSAC outstanding innovation award and the 2013 IEEE computer society technical achievement award.
Jan is also a co-inventor of Identity Mixer, a unique cryptographic protocol suite for privacy-preserving authentication and transfer of certified attributes.
Jan previously led the FP7 European research consortia PRIME and PrimeLife, and he and his team continue to participate in many other projects including ABC4Trust, AU2EU, and Witdom. Jan currently holds an Advanced ERC grant for "Personal Cryptography".


Abstract
Available soon.


 

 

Speeding up the execution of numerical computations and simulations with rCUDA

Jose Duato
UPV
Spain


Brief Bio
Jose Duato is Professor in the Department of Computer Engineering (DISCA) at the Technical University of Valencia. His current research interests include interconnection networks, on-chip networks, and multicore and multiprocessor architectures. He published over 500 refereed papers. According to Google Scholar, his publications received more than 12,000 citations. He proposed a theory of deadlock-free adaptive routing that has been used in the design of the routing algorithms for the Cray T3E supercomputer, the on-chip router of the Alpha 21364 microprocessor, and the IBM BlueGene/L supercomputer. He also developed RECN, a scalable congestion management technique, and a very efficient routing algorithm for fat trees that has been incorporated into Sun Microsystem's 3456-port InfiniBand Magnum switch. Prof. Duato led the Advanced Technology Group in the HyperTransport Consortium, and was the main contributor to the High Node Count HyperTransport Specification 1.0. He also led the development of rCUDA, which enables remote virtualized access to GP-GPU accelerators using a CUDA interface. Prof. Duato is the first author of the book "Interconnection Networks: An Engineering Approach". He also served as a member of the editorial boards of IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computers, and IEEE Computer Architecture Letters. Prof. Duato was awarded with the National Research Prize in 2009 and the “Rey Jaime I” Prize in 2006.


Abstract
This keynote will present some techniques to speed up the execution of numerical computations and simulations, with special emphasis on the use of hardware accelerators. The talk will present the architecture of the most popular accelerators currently in use, the implications for the programmers, and the main limitations of the current commercial implementations. The talk will also describe a recent technology for virtualizing accelerators that dramatically improves the utilization and effective computing power of those accelerators while reducing power consumption. Finally, the measured benefits in some real computing installations will be shown.


footer