معرفی
Urban Fasel is a Lecturer in Data-Driven Aerospace Engineering at Imperial College London's Department of Aeronautics. His research integrates machine learning with aerospace systems for applications in autonomous flight, aeroelastic control, and composite structures.
Research spans co-design optimization, adaptive structures, and data-driven control methods, with particular focus on morphing wings for airborne energy systems and flapping-wing micro aerial vehicles. Recent work explores sparse modeling techniques for nonlinear dynamics discovery and robust control under uncertainty.
Publications emphasize computational efficiency in aeroelastic modeling, reinforcement learning for flow control, and Bayesian approaches for system identification. Emerging themes include interpretable machine learning for distributed systems and morphing wing optimization for eVTOL applications.
