Current Position :
Patrick Hénaff is full Professor at Université de Lorraine:
- Teacher in School of Engineers Mines Nancy, ARTEM campus:
- Teacher at Computer Sciences Department
- 2018-2022 : Head of the Computer Sciences Department
- 2022-: Co-head of the Mastere Spécialisé® « Cybersécurité : attaque et défense des systèmes informatiques »
- Researcher at LORIA laboratory, UMR 7503, University of Lorraine – CNRS – INRIA :
- Researcher in the NeuroRhythms team
- 2015-2022 : Head of Department « Complex Systems, Artificial Intelligence and Robotics »
- Scientific manager of the Creativ’Lab@Loria
Short Bio :
Teaching positions:
- 2013-present: Full Professor at Ecole des Mines de Nancy
- 1997-2013: Maître de Conferences (assistant professor) at University of Cergy Pontoise, Institute of Technology.
Research positions:
- 2013-present: Lorraine Research Laboratory in Computer Science and its Applications (LORIA), University of Lorraine-INRIA-CNRS
- 2008-2013: Information Processing and System Research Lab (ETIS), University of Cergy-Pontoise-ENSEA-CNRS
- 2002-2008: Laboratoire d’ingénierie des systèmes de Versailles (LISV), University of Versailles St Quentin.
- 1990-2002: Paris Robotic Laboratory (L.R.P), University Pierre et Marie Curie – University of Versailles, CNRS
Diploma:
- 2011: Habilitation à Diriger les Recherches, ETIS lab, University of Cergy Pontoise. «Commande bio-inspirée et genèse de mouvements rythmiques en robotique »
- 1994: PhD degree Robotic, University Pierre et Marie Curie, Paris Robotic Laboratory. «Mises en Œuvre de Commandes Neuronales Par Rétro-Propagation Indirecte : Applications à la Robotique Mobile »
- 1989: M.S in Robotics (DEA), University Pierre et Marie Curie
- 1988: Master 1 in electronics (Maîtrise), control and signal processing, University of Rennes I
- 1986: Licence (Bachelor) in electronics, control and signal processing, University of Rennes I
- 1985 : D.U.T in electronics and informatics, Lannion, University of Rennes I
Research :
Biological inspired control in robotics
My research concerns the biological inspired control of humanoids robots. I particularly focus on the neural network biological models dedicated to control the dynamical behaviors of humanoids robots like rhythmic movements of upper limbs when robot is interacting to human, and walking like normal or abnormal gaits aiming to compensate certain mechanical deficiencies.
