Prof. Dionysios (Dennis) TsichritzisTitle: Victor Ivannikov: his legacy viewed from outside Russia
Abstract: I knew Victor Ivannikov for almost 30 years. I will sketch the changes he went through and the challenges he had to face. He showed extreme resiliency while he remained focused and provided leadership.He was also a paternalistic figure for many generations of young scientists. He was a great scientist and a magnificent leader.
Short Bio: Prof. Dionysios (Dennis) Tsichritzis obtained his Diploma in Electrical and Mechanical Engineering from the Technical University of Athens, Greece, in 1965. He then studied at Princeton University, USA, completing his M.A. in 1967 and PhD in 1968. He was a Professor of Computer Science at the University of Toronto, Canada, from 1968 to 1985. During this period he was also elected and served as a Professor of Informatics at the National Technical University of Athens and he was a Professor of Computer Science and founded the Department of Computer Science at the University of Crete, Greece, and founded the Institute of Computer Science at FORTH in Crete. He was then Professor of Business Informatics at the University of Geneva, Switzerland, and Director of the Centre Universitaire d’Informatique (1985-2002). He was also during that period President of the National Center of Mathematics and Data Processing ,Gesellschaft fuer Mathematik und Dateverarbeitung, in Bonn/Berlin/Darmstadt in Germany (1991-2001). From 2001 to 2006 he moved after the merger of GMD to Fraunhofer Gesellschaft and was a member of the Governing Board (Vorstand), responsible as CIO, International and new ventures, and President of Fraunhofer USA. After his term at Fraunhofer was completed he joined Ricoh, Japan, as a General Manager, European Strategic Research Organization (2008-2011). He was then President of the University Council at the Technical University of Crete (2013-2017). He is currently President of the Scientific Council of the newly founded Hellenic Foundation for Research and Innovation in Athens, Greece.
Prof. Assaf SchusterTitle: IoT Security Threats and Solutions
Abstract: IoT "smart" devices are all over the place, from Niki shoes to vacuum cleaners and air conditioners, all instruments nowadays are equipped with computing capabilities and wireless communication. Unfortunately, being smart may also imply that those devices may perform smart cyber threats. In this talk I will survey the area and provide examples to attack surfaces. Then, time permitting, I will describe a solution that provides the [possibly only] answer to these emerging threats.
Short Bio: Prof. Assaf Schuster of the Computer Science Department at the Technion is an ACM fellow and a world leading expert of distributed and scalable data Mining, Big Data technologies analytics & prediction, Cyber security and system vulnerabilities, privacy preserving, cloud resource management and more. Prof. Schuster published more than 200 papers in highly selective conferences and journals, some of which won prestigious awards. He consulted leading hi-tech companies, such as IBM, HP, Microsoft, and Verint. He participated in the bumpy journey of quite a few startups, some of which were successful. His research group is well known for its contributions to the field of big data and scalable, real-time knowledge discovery in distributed data streams. In 2016, he co-founded a startup to cyber-protect organizations in the era of the Internet of Things.
Prof. Yael YanivTitle: IT devices to predict arrhythmogenic events and classified cardiac diseases
Abstract: The IoT has numerous applications in healthcare, from remote monitoring to smart sensors and medical device integration that can bundle together to provide a system to alert if fetal fibrillation is coming and thus has the potential to keep the patient safe and improve the way physicians deliver care. There are two major challenges in designing such Health IoT systems: (i) Energy-efficient data transmission and processing. The proposed wearable device is battery operated. The battery must support monitoring of signal processing and transmission od alerts and data to the monitoring center in the cloud, each of which presents its own challenge for minimizing energy consumption.(ii) Correct definition of the safe zone where the patient is not at risk. Determining the safe zone is not an easy task, typically necessitating elaborate algorithms. The system must be able to make sophisticated decisions and perform fast, accurate learning operations to predict and identify upcoming fibrillation events. Furthermore, it will have to do this with partial data due to limited transmissions, as in point (i) above. In this talk I will present an example of IoT systems developed in my lab for early detection of fibrillation events in patient.
Short Bio: Prof. Yael Yaniv is an Assistant Professor of Biomedical Engineering of the Technion, and currently the head of the Bioelectrical and Bioenergetics System Lab. She received her PhD in Biomedical Engineering in 2007 from the Technion, her BSc in both Electrical and Mechanical Engineering (cum laude, 2002) and her MSc in Electrical Engineering (summa cum laude 2003). Her main work is on algorithms for mobile health devices and of non-invasive analysis of the heart pacemaker function. She published over 45 refereed papers and book chapter and have currently 12 national and international grants.
Electricity Authority of Cyprus A. Area Manager, IEEE Region 8 Past Director (Europe-Africa- Middle East), MGA Vice Chair.
Title: IEEE Overview
Abstract: An overall overview of IEEE, of IEEE Region 8 and its activities and the benefits that IEEE gives to its members. What are the opportunities in IEEE for me and my Section?
Short Bio: Costas Stasopoulos works as a power engineer at the Electricity Authority of Cyprus the major electricity provider of Cyprus, responsible for the generation, transmission and distribution of electricity in Cyprus. On top of his electrical engineering he also holds an MBA degree. He has managed successfully several projects including GIS and large Photovoltaic and Wind Farm plants. Presently his is the project manager for the installation of the Advanced Metering Infrastructure in Cyprus. He has been in the IEEE Board of Directors, in the MGA Board, Region 8 Director, and Cyprus Section chair. He chaired or was a member in various IEEE Committees and attended tens of Conferences and meetings. His main interests include Renewable Energy, Smart Grids, Innovations and Start-ups.
Prof. Andrei TchernykhTitle: Mitigating Uncertainty of Energy Consumption in Cloud Computing
Abstract: In this talk, we discuss the opportunities and challenges of mitigating uncertainty of energy consumption in computer systems ranged from cloud computing and to exascale. We discuss important aspects of resource optimization in present of uncertainty, power challenges, hardware challenges, memory, data movement challenges, etc. We analyze the structure of uncertainties arising from performance and bandwidth changing, virtualization, and elasticity, data transmission, among others. We also describe uncertainty and energy consumption associated with workload properties, user behavior, dynamism of the execution context. We discuss various dynamic and adaptive approaches. We provide some theoretical and experimental results.
Short Bio:Prof. Andrei Tchernykh is engaged in an extensive research on grid and cloud research addressing resource optimization, both, theoretical and experimental, uncertainty, scheduling, load balancing, multi-objective optimization, heuristics and meta-heuristics, adaptive resource allocation, energy-aware algorithms and security.
Andrei Tchernykh is holding a full professor position in computer science at CICESE Research Center, Ensenada, Baja California, Mexico, and chairing the Parallel Computing Laboratory. He is a founding member of the Mexican Supercomputer Society (RedMexSu).
He obtained his PhD in 1986 from the Institute of Precision Mechanics and Computer Engineering (ИТМиВТ) of the Russian Academy of Sciences, Moscow.
Tchernykh leads a number of research projects and grants in different countries funded by CONACYT, NSF, ANII, Ochoa, INRIA, FNR, UC MEXUS, DAAD, LAFMI, UJF, INPG, REDII, FUMEC, etc. He has published about 200 papers, and served as a TPC member and general co-chair of more than 240 professional peer reviewed conferences. He has graduated 36 Ph.D. and M.S. students, and served as the External Examiner for Ph.D. programs in India, Malasia, Germany, Luxembourg. México, and France.
He is awarded Global Scholars Fellow at Tsinghua University (China), German Academic Exchange Service fellowship at University of Göttingen, Dortmund University, Technische Universität Clausthal, and Severo Ochoa fellowship at Barcelona Supercomputing Center (Spain). He was an invited Visiting Researcher at Centre de recherché INRIA Lille - Nord Europe (France), Université Grenoble Alpes (France), Luxembourg University (Luxembourg), Moscow Institute of Physics and Technology (Russia), Institut National Polytechnique de Grenoble (France), University of California–Irvine (USA), University of Southern California (USA), Université Joseph Fourier (France), UdelaR (Uruguay), etc.
He has served as a guest editor for Special issues, and member of the editorial boards of several journals, including International Journal of Metaheuristics, Supercomputing Frontiers and Innovations, Computational Mathematics and Software Engineering (SUSU), Proceedings of ISP RAS, etc.
Thierry DauxoisOne of the important questions in the dynamics of the oceans is related to the cascade of mechanical energy in the abyss and its contribution to mixing. Here, we propose a unique self-consistent experimental and numerical set up that models a cascade of triadic interactions transferring energy from large-scale monochromatic input to multi-scale internal wave motion. We show how this set-up can be used to tackle the open question of studying internal wave turbulence in a laboratory and with direct numerical simulation using high order methods. We provide, for the first time, explicit evidence of a wave turbulence framework for internal waves. Finally, beyond this regime, we highlight a clear transition to a cascade of small-scale overturning events which induces mixing.
Thierry Dauxois is a CNRS senior researcher and also the Director of the laboratoire de Physique at ENS de Lyon. He is a specialist of nonlinear physics and statistical physics with numerous applications in condensed matter, biophysics and fluid mechanics. He published one hundred research articles and two books, entitled "Physics of Solitons" and "Physics of long-range interacting systems. Since 15 years, he works intensively on the dynamics of internal gravity waves in stratified fluids with a special emphasis on their generation, propagation and stability.