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Patrick Siarry

Patrick Siarry

Universite Paris-Est Creteil


Patrick Siarry was born in France in 1952. He received the PhD degree from the University Paris 6, in 1986 and the Doctorate of Sciences (Habilitation) from the University Paris 11, in 1994. He was first involved in the development of analog and digital models of nuclear power plants at Electricité de France (E.D.F.). Since 1995 he is a professor in automatics and informatics. Professional experience: January 1989 – August 1995 Lecturer at the Ecole Centrale Paris (ECP), Laboratory of Electronics and Applied Physics. Position in section 61 of C.N.U. September 1995 – August 1999 Professor at the IUT Cergy-Pontoise, Laboratory of Modeling and Optimization in Electronic Systems. Position in section 61. since January 2009 Director of Team Image Processing and Signal (TIS) at the Laboratory of Images, Signals and Intelligent Systems. The research topics of TIS are analysis of nonstationary signals, methods of segmentation and registration imaging, optimization, data compression, modeling and control of complex systems approaches within the Artificial Intelligence.

Research Interest

His main research interests are computer-aided design of electronic circuits, and the applications of new stochastic global optimization heuristics to various engineering fields. He is also interested in the fitting of process models to experimental data, the learning of fuzzy rule bases, and of neural networks.His research area is relatively (since 1982) new “metaheuristic” optimization such as simulated annealing, which are indicated for the so-called problems of “hard optimization” because of their ability to avoid in principle, trapping in sub-optimal solutions. This topic is multidisciplinary in nature, both by the source of the methods studied (physics, biology, ethology). Much of his work is explicitly one or the other keywords – in particular, modeling, identification, learning rule bases (artificial intelligence), control, nondestructive testing and maintaining the biological and medical engineering.