ENSET Mohammedia

Speaker 1

Professeur Mohamed MESTARI

Graph Convolutional Neural Networks and Applications

Mohammed Mestari received the M.A. degree fromthe École Normale Supérieure de l’Enseignement Technique (ENSET), Mohammedia, Morocco, in 1991, and the Ph.D. degrees in applied mathematics and artificial intelligence from the Faculty of Science Ben M’Sick, Hessan II University, Casablanca, Morocco, in 1997 and 2000, respectively.
He is currently a Professor of Applied Mathematics and Artificial Intelligence at ENSET, and the Head of the Artificial Intelligence Research Team with the Laboratory of Signals, Distributed Systems and Artificial Intelligence. His current research interests include neural networks for signal processing, neural networks hardware implementation, high-speed and/or low-power techniques and systems for neural networks, and theoretical issues directly related to hardware implementation of techniques based on the principle of decomposition coordination for optimal control and trajectory planning for an Unmanned Aerial Vehicle (UAV) and a robot. He has more than 90 scientific publications regarding both theory and applications in various domains of Artificial Intelligence and Robotic.