Summary
I am a lecturer in the Department of Aeronautics at Imperial College London. My research interests range from machine learning and data science for modeling and control of complex systems to flexible composite structures, intelligent flight, and renewable energy systems. Prior to 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 design optimization and control methods for morphing wings applied to Airborne Wind Energy.
Detailed descriptions of my research topics can be found here. Two video abstracts of my latest work on data-driven aeroelastic modeling and robust model discovery are shown below, and a full list of my publications can be found on my Google Scholar.
Selected Publications
Journal Articles
Fasel U, Kutz JN, Brunton BW, et al., 2022, Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control, Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, Vol:478, ISSN:1364-5021, Pages:1-20
Fasel U, Tiso P, Keidel D, et al., 2021, Concurrent Design and Flight Mission Optimization of Morphing Airborne Wind Energy Wings, AIAA Journal, Vol:59, ISSN:0001-1452, Pages:1254-1268
Fonzi N, Brunton SL, Fasel U, 2020, Data-driven nonlinear aeroelastic models of morphing wings for control, Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, Vol:476, ISSN:1364-5021, Pages:1-23
Fasel U, Keidel D, Baumann L, et al., 2020, Composite additive manufacturing of morphing aerospace structures, Manufacturing Letters, Vol:23, ISSN:2213-8463, Pages:85-88