I study trajectory modeling, motion planning, and runtime monitoring for autonomous robots and decision-support systems, with particular emphasis on uncertainty management, anomaly detection, and safety guarantees during operation. My work spans both fundamental methods and applied research in close collaboration with industry and public-sector partners, including transportation, robotics, and public safety.
​​I am Deputy Head of the Reasoning and Learning (ReaL) Lab and actively involved in national and international initiatives on trustworthy AI and autonomous systems.
​​I am Deputy Head of the Reasoning and Learning (ReaL) Lab and actively involved in national and international initiatives on trustworthy AI and autonomous systems.
