Pascal Bouvry

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Curriculum Vitae

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 heading the Computer Science and Communications (CSC) research unit of the Faculty of Sciences, Technology and Communications of Luxembourg University, and serving as Professor. Pascal Bouvry is also member of the administration board of CRP-Tudor, Vice-President of GIE Sitec and member of various scientific committees and technical workgroups (ERCIM WG, COST TIST, LIASIT, etc.)

Current Research Interests

The team of Pascal Bouvry is researching on parallel and evolutionary computing, in particular how different species may
co-evolve featuring different individuals taking local decisions while ensuring global objectives (e.g. search and optimization).
This target is approached through various facets like loosely coupled genetic algorithms, distributed immune systems, iterated
multi-players prisoner dilemma. The main application domain of this team is security, trust and reliability, for example, cryptology,
intrusion detection, and reliable scheduling and routing on new generations of networks such as p2p, ad-hoc, and hybrids.

Teaching

• Intelligent Systems
• Evolutionary Computing
• Selected topics in Artificial Intelligence
• Parallel and Grid Computing
• Evolutionary Computing in Security

last modified:11 Jul 2011