PhD Student — Machine Learning & Statistics
Artificial intelligence for the optimization of the mechanical durability of systems subjected to severe vibratory loads. Funded by the AID (Agence de l'innovation de défense), run as a consortium between the DGA, the University of Angers and the University of Rennes.
- Physics-informed neural networks for fatigue and damage estimation
- Time, frequency and time–frequency characterisation of vibratory signals
- Military application — durability under severe vibratory loading