Daniel Delahaye

Professor Daniel Delahaye heads the Optimization and Machine Learning research team at ENAC (French Civil Aviation University) and leads the ANITI research chair on AI for Air Traffic Management and Urban Mobility. His expertise combines mathematical optimization with artificial intelligence for aerospace applications.

Research focuses on developing AI algorithms for efficient airspace design and aircraft trajectory optimization. International collaborations include joint projects with MIT, Georgia Tech, and NASA on next-generation air traffic management systems.

Educational background includes engineering degree from ENAC, MSc in Signal Processing from National Polytechnic Institute of Toulouse, and PhD in Automatic Control. Postdoctoral research was conducted at MIT under Professor Amedeo Odoni.