Daniel Delahaye

Daniel Delahaye is a Professor at École Nationale de l'Aviation Civile (ENAC), France, affiliated with the OPTIM research team. His work focuses on applying stochastic optimization, dynamic programming, and reinforcement learning to air traffic management and transportation systems.

• Key research themes: Trajectory optimization, Airspace design, CO2/contrail mitigation, UAV navigation, and multi-modal transportation

Recent publications analyze climate-aware air traffic flow management, UAV trajectory prediction, emergency landing planning, and multi-hub airline scheduling. Methodologies include column generation, convolutional neural networks, and multi-objective optimization frameworks.

• Applications span sustainable air operations, terminal airspace efficiency, and future urban air mobility systems