The department was visited by Patrick Henaff who is now a full professor at the Ecole des Mines de Nancy University and works as a researcher at the LORIA lab. He takes an active part in general Franco-Ukranian research and educational programs. In 2012-2015 he was engaged in Franco- Ukranian program “Master” («Magister») in the context of cooperation between the University of Cergy – Pontjise and Donetsk National Technical University. In the context of this program 10 students got French Master Diplomas (the key words of master theses are as follows: bio-inspired approach, study and adaptation, synchronism, work and human cooperation). Two collaborators of Electric Technical department from Donetsk National Technical University defended PhD dissertations in France. The themes of these dissertations:
Improvement of control algorithms of electrical robot arms in physical interaction with their environment with bio-inspired approach.
Perfectionnement des algorithmes de contrôle-commande des robots manipulateur électriques en interaction physique avec leur environnement par une approche bio-inspirée
At the moment he is a curator of ERASMUS program between the University Ecole de Mines de Nancy and NTUU “Kyiv Polytechnic Institute”.
Patrick Henaff received an M.S. degree in Robotic from the University of Pierre et Marie Curie (Paris 6) in 1989, and a Ph.D. in Robotic in 1994 at the Paris Robotic Laboratory, University of Pierre et Marie Curie. Since 1997, he was Associate Professor at the Institute of Technology of Cergy-Pontoise. He worked as a researcher at the LISV (Systems Engineering Laboratory of the University of Versailles) until 2009 and from 2009 to August 2013 he was the researcher at ETIS lab, University of Cergy-Pontoise, CNRS UMR 8051.
Patrick Henaff is now full Professor at the Ecole des Mines de Nancy (Information & Systems department), the University of Lorraine. He works as the researcher at the LORIA lab, Cortex team. His topics of interest concern the biologically inspired control, particularly the neural network biological models dedicated to dynamical rhythmics movement of legged or humanoid robots.
