Control and Intelligent Systems Laboratory

Our lab aims to design control & decision-making algorithms to develop safe, robust, and efficient dynamical systems.

In particular, our research is based on control theory, optimization, mathematical analysis, game theory, and machine learning. We apply our algorithms to Intelligent Transportation Systems (ITS) and perform hardware validation.