- Nationality: Spanish
- Funding entity and Program: PIPF – Realization on INTA
PhD Thesis
Aerodynamic Shape Optimization using Reinforcement Learning
Supervisors
Rodrigo Castellanos García de Blas (UC3M) & Esther Andrés Pérez (INTA)
Abstract
This research explores Reinforcement Learning (RL) for aerodynamic shape optimization, integrating AI with CFD to enhance airfoils, propellers and wings performance. By developing a geometry generator and RL-based optimization framework, this study enables real-time aerodynamic adaptation, improving efficiency and reducing costs.
PhD in Aerospace Engineering UC3M 