Chorafas Foundation Award in Computer Science (2023)
Finalist for the European Systems and Control PhD Thesis Award (2023)
Two papers accepted at IEEE Conference on Decision and Control (CDC) in 2025
Paper 'Distributed Risk-Sensitive Safety Filters for Uncertain Discrete-Time Systems' accepted by IEEE Control Systems Letters (2025)
Paper 'Risk-Sensitive Safety Filters for Reinforcement Learning with Probabilistic Guarantees' accepted by IEEE Transactions on Automatic Control (2025)
Background
Assistant Professor in the Department of Electrical and Computer Engineering at the National University of Singapore (NUS)
Awarded a Presidential Young Professorship
Mercator Fellow of the DFG Project ALeSCo
Research focuses on ensuring the safety of unknown systems by combining model-based control and supervised machine learning
Aims to develop theoretically rigorous and computationally efficient methods, validated experimentally on robots such as manipulators and underwater vehicles