Scholar
Michael Muehlebach
Google Scholar ID: uTfYBAsAAAAJ
Max Planck Institute for Intelligent Systems
Citations & Impact
Citations
978
H-index
14
i10-index
19
Publications
20
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- Received the Outstanding D-MAVT Bachelor Award, the Willi-Studer prize for the best Master's degree, and the ETH Medal and the HILTI prize for his doctoral thesis. Has been a Branco Weiss Fellow since 2018, was awarded the Emmy Noether Fellowship in 2020, and an Amazon Fellowship in 2024. Published several preprints and journal articles.
Research Experience
- Leads the independent research group Learning and Dynamical Systems at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. Worked as a postdoctoral researcher in the group of Prof. Michael I. Jordan at the University of California, Berkeley.
Education
- Studied mechanical engineering at ETH Zurich, specializing in robotics, systems, and control during his Master's degree. Received B.Sc. in 2010 and M.Sc. in 2013. Graduated with a Ph.D. under the supervision of Prof. R. D'Andrea in 2018.
Background
- Research interests include machine learning, dynamics, control, and optimization. During his Ph.D., he worked on approximations of the constrained linear quadratic regulator problem with applications to model predictive control and designed control, estimation, and learning algorithms for a balancing robot and a flying machine. As a postdoctoral researcher at Berkeley, he analyzed first-order optimization algorithms from a dynamical system's point of view.
Miscellany
- Actively looking for talented and motivated PhD or Master's students.
