Doctor of Science in Mechanical Engineering, 2020
Master of Science in Mechanical Engineering, 2016
Bachelor of Science in Mechanical Engineering, 2013
Exploiting statistical methods to robustify the sparse identification of nonlinear dynamics (SINDy) algorithm
Data-driven methods for model discovery and their application for nonlinear model predictive control.
Aero-structural design and optimization of distributed compliance morphing wings.
Agile and computationally efficient trajectory tracking of sub-gram MAVs.
Data-driven modelling methods to develop highly accurate and tractable reduced-order aeroelastic models that are valid over a wide range of operating conditions and are suitable for control.
System level power production optimization of airborne wind energy drones by concurrently optimizing the wing design and flight mission.
Design, optimization, and manufacturing of lightweight composite wing structures.
Design, computational modeling, and optimization of airborne wind energy systems.
u.fasel (at) imperial.ac.uk
Imperial College London