About me
I am an Assistant Professor in the Department of Electrical and Computer Engineering at the National University of Singapore (NUS), where I was awarded a Presidential Young Professorship. My research focuses on ensuring the safety of unknown systems through a combination of techniques from model-based control and supervised machine learning. My goal is to develop theoretically rigorous and computationally efficient methods, whose effectiveness is demonstrated in experiments with robots.
Before joining NUS in May 2025, I was a postdoctoral researcher at ETH Zurich working in the Learning & Adaptive Systems group of the Institute for Machine Learning advised by Prof. Andreas Krause. Simultanesously, I was an associated researcher in the ETH AI Center. I obtained a PhD, Master’s, and Bachelor’s degree in Electrical and Computer Engineering at the Technical University of Munich, Germany, in 2023, 2018, and 2015, respectively. During my time as a PhD student, I worked under the supervision of Prof. Sandra Hirche on learning-based control partially funded by a scholarship of the German Academic Scholarship Foundation. For my PhD thesis, I received the Rohde & Schwarz Dissertation Award in 2023 and was a finalist for the European Systems and Control PhD Thesis Award. Moreover, I received the Chorafas foundation award in computer science for my research.
Student Supervision I am looking for motivated and talented PhD students to join my group at NUS. If you want to work with me, please send me an email describing your area of interest. Please also attach your CV and up-to-date transcripts. I am open to supervising ambitious Master’s and Bachelor’s students for their thesis/final year project.
News
| 05/26 | We got three papers accepted at the International Conference on Machine Learning. You can already check out the preprints [here], [here] and [here]. Looking forward to discussing the papers with you in Seoul! |
| 04/26 | Two papers recently got accepted at the IEEE Transactions on Automatic Control. Check out the papers [here] and [here]. |
| 03/26 | We got papers accepted at the European Control Conference and the American Control Conference. Check the ECC paper out [here]. |
| 12/25 | The workshop on Koopman operator theory at the IEEE Conference on Decision and Control co-organized with Igor Mezic, Karl Worthmann, Petar Bevanda and Sandra Hirche was a great success. If you want to check out the presentation slides, you can find them at the conference website here. |
| 07/25 | Two papers got accepted at the IEEE Conference on Decision and Control: ‘Distributed Risk-Sensitive Safety Filters for Uncertain Discrete-Time Systems’ and ‘Learning High-Order CBFs using Gaussian Processes for Systems in Brunovsky Canonical Form’! |
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