Team building at institute level
Ir. at ISAE-SUPAERO 2017
Main project: AI-based control policies towards efficient collective behaviours of flow agents and their application to fish schooling
Supervisor(s): Philippe Chatelain
The principal objective is to shed light on mechanisms allowing anguiliform swimmers to swim very efficiently either on their own or in group.
Simulations rely on an unsteady panel method with vortex shedding and on reinforcement learning.
IMMC main research direction(s):
fluid structure interaction
numerical simulation, experimental models
Research group(s): TFL