Prof. Pascal Bouvry
Professor at University of Luxembourg, Luxembourg.
Faculty of Science, Technology and CommunicationOptimisation, Grid & parallel computing, Ad-hoc networks, Bioinformatics
Dr. Bouvry earned his undergraduate degree in Economical & Social Sciences and his Master degree in Computer Science with distinction (‘91) from the University of Namur, Belgium. He went on to obtain his Ph.D. degree ('94) in Computer Science with great distinction at the University of Grenoble (INPG), France. His research at the IMAG laboratory focussed on Mapping and scheduling task graphs onto Distributed Memory Parallel Computers. Next, he performed post-doctoral researches on coordination languages and multi-agent evolutionary computing at CWI in Amsterdam. Dr Bouvry gained industrial experience as manager of the technology consultant team for FICS (belonging to S1 corp) a world leader in electronic financial services. Next, he worked as CEO and CTO of SDC, a Saigon-based joint venture between SPT (the second telecom operator in Vietnam), Spacebel SA (a Belgian leader in Space, GIS and Healthcare), and IOIT, a public research and training center. After that, Dr Bouvry moved to Montreal as VP Production of Lat45 and Development Director for MetaSolv Software, a world-leader in Operation Support Systems for the telecom industry (e.g. AT&T, Worldcom, Bell Canada, etc). Dr. Bouvry is currently "Chargé de Mission auprès du Recteur" in charge of the University High Performance Computing, heading the PCOG (Parallel Computing and Optimization Group), directing the doctoral programme DP-CSCE, directing the certificate SmartICT for Business innovation, and serving as Professor. Pascal Bouvry is also faculty of the Interdisciplinary Center of Security, Reliability and active in various scientific committees and technical workgroups (IEEE CIS Cloud Computing vice-chair, IEEE TCSC GreenIT steering committee, ERCIM WG, ANR, COST TIST, etc.). Pascal Bouvry is also member of the editorial boards of IEEE Transactions on Sustainable Computing, IEEE Cloud Computing Magazine, Springer journal on Communications and Sustainable Computing, and Elsevier journal in Swarm and Evolutionary Computation. Current Research Interests The team of Pascal Bouvry, PCOG, is researching on parallel computing and optimisation techniques. The application domains include new generations of distributed environments (cloud, p2p, ad-hoc, and hybrids) and bioinformatics (protein folding, knowledge organization and exploration, etc). The required mathematical foundations include Algebra, Graph Theory, Operations research, Game Theory. Teaching
Prof. Ali Siadat
Professor in Computer and Industrial Engineering Arts et Metiers ParisTech, Metz France
Ali SIADAT received his PhD in robotics and digital signal processing from Institut National Polytechnique de Lorraine in France. He stated his carrier as associate professor in computer and industrial engineering at Arts et Metiers ParisTech and became full professor in 2016 at the same engineering school. Since 2011, he is head of applied mathematics and computer Engineering department. He served also as Guest Professor in several universities in China, Iran, Morocco and Brazil. His research interests include artificial intelligence, information system, knowledge formalization and operations research applied to manufacturing fields. He has published over than 40 papers in distinguished scientific journals and more than 70 papers in international conferences and he supervised more than 20 PhD theses. Pr. Siadat is actively involved in Factories of the Future program in France and his research activities are drive usually with international collaborations and very closed to industries (STMicroelectronics, Siemens, PSA, …). His new research projects interest to integrated human factors to optimization of production systems.
Prof. Mourad Fakhfakh
IEEE Senior Member Head of the ESSE research Lab. (Laboratory of Advanced Electronic Systems and Sustainable Energy) National School of Electronics and Telecommunications of Sfax, Tunisia https://www.researchgate.net/mouradfakhfakh
Dr. Mourad Fakhfakh was born in Sfax-Tunisia in 1969. He received the engineering, the PhD and the Habilitation degrees from the national engineering school of Sfax Tunisia in 1996, 2006 and 2011, respectively. From 1998 to 2004 he worked for the Tunisian National Company of Electricity and Gas (STEG) as the head of the technical interventions’ department. In September 2004, he joined the National School of Electronics and Communications (ENET'Com), formerly (ISECS), where he is working as a full Professor. He is the head of the Advanced Electronic Systems and Sustainable Energy research laboratory (ESSE). Pr. Fakhfakh is an IEEE senior member. He was the IEEE CEDA Tunisia Chapter Chair (Council on Electronic Design Automation). He has co-edited six books and more than 100 papers in many prestigious journals, international conferences and book chapters. He is member of the scientific committees of many international conferences. He has organized many international scientific events, such us the IEEE Tunisia CEDA’s ENG-OPTIM’ Contest (4 editions). He was the general chair of SMACD 2010. Pr. Fakhfakh research interests include analog circuit design automation, symbolic analysis techniques, modelling techniques, and applied optimization techniques.
Dr. Mohammed Tarbouchi
Professor of Electrical and Computer Engineering
the Royal Military College of Canada
Dr. Mohammed Tarbouchi is a Professor of Electrical and Computer Engineering at the Royal Military College of Canada, Kingston, Onatrio. He received his Master and Doctoral degrees in Electrical Engineering from Laval University in 1993 and 1997, respectively. He has performed research on various topics in power and control of electric drives, sensorless control, variable speed drives, fault diagnosis of electric machines and power systems optimization using metaheuristics on graphical processing unit (GPU). He performed multiple research projects for several Federal agencies funded by the department of national defense dealing with all electric ship power systems modeling and analysis, Unmanned aerial vehicles (UAV) optimal path planning. Professor Mohammed holds many publications in international Journals and conference proceedings. He is a co-recipient of the 2014 IEEE Transactions on Industrial Informatics Best Paper Award.