Urban Fasel

Lecturer at Imperial College London

About


I am a lecturer in the Department of Aeronautics at Imperial College London. My research interests range from co-design optimization and machine learning for modeling and control of complex systems to adaptive multifunctional composite structures and autonomous flight systems. Before joining Imperial, I was a postdoc at the University of Washington, mentored by Steve Brunton, and closely collaborating with Bing Brunton and Nathan Kutz. I received my Doctor of Science in Mechanical Engineering at ETH Zurich, mentored by Paolo Ermanni, developing co-design optimization and data-driven control methods for morphing wings applied to Airborne Wind Energy. 

 

Affiliations and Appointments

  • Imperial College London, UK 
    • 2022 Sept. – present             Lecturer, Department of Aeronautics 

  • University of Washington, USA 
    • 2024 March – present          Affiliate Assistant Professor, Mechanical Engineering 
    • 2020 Oct. – 2022 August     Postdoctoral Fellow Brunton Lab, Mechanical Engineering 

Education

  • Doctor of Science in Mechanical Engineering, 2020 
    ETH Zurich
  • Master of Science in Mechanical Engineering, 2016 
    ETH Zurich 
  • Bachelor of Science in Mechanical Engineering, 2013 
    ETH Zurich 

Research projects




Robust sparse model discovery


Exploiting statistical methods to robustify the sparse identification of nonlinear dynamics (SINDy) algorithm




Data-driven control


Data-driven methods for model discovery and their application for nonlinear model predictive control.




Morphing wings


Aero-structural design and optimization of distributed compliance morphing wings.




Flapping wing micro aerial vehicles


Agile and computationally efficient trajectory tracking of sub-gram MAVs.




Data-driven aeroelastic reduced-order modeling


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.




Concurrent wing design and flight mission optimization


System level power production optimization of airborne wind energy drones by concurrently optimizing the wing design and flight mission.




Composite structures


Design, optimization, and manufacturing of lightweight composite wing structures.




Renewable energy


Design, computational modeling, and optimization of airborne wind energy systems.

Contact


Urban Fasel


u.fasel (at) imperial.ac.uk


Aeronautics

Imperial College London


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