Fabien Lionti

PhD student

Short bio

Fabien Lionti is graduated from the ESME Sudria and the University of Paris-Saclay in the field of mathematics applied to information processing and data exploitation. After two years of experience in the private sector working as an engineer on defense industry topic (trajectory planning, missile targeting algorithms)
and in industry 4.0 (visual anomaly detection, industrial process control from data) Fabien is working on a thesis with Dr Philippe Martinet (INRIA), Dr Nicolas Gutowski (LERIA) and Dr Sébastien Aubin (DGA) for the evaluation of the dynamic behavior of French army vehicles on security criteria.

Research Interests

His current research interets are modeling and control of dynamic systems by hybrid approachs (data and model based). More specifically, these subjects lead Fabien to study interpretable approachs for the modeling of dynamic systems by methods allowing to learn a set of symbolic representation (learning of interpretable physical models), modeling of physical model imperfections (discrepancy modeling) and the field of physics informed machine learning (scientific machine learning). In the context of system control, methods ranging from model-based and model-free reinforcement learning as well as model predictive control techniques are investigated.