The overarching goal of the IDS Lab is to develop data-driven system approaches at the intersection of learning and control to make large-scale, complex cyber-physical systems (CPS) with nonclassical information structures able to realize how to improve their performance over time while interacting with their environment. The emphasis is on applications related to emerging mobility systems (e.g., connected and automated vehicles, shared mobility), sociotechnical systems, social media, and smart cities. 

In the IDS lab, we believe that diversity of age, experience, race, ethnicity, religion, and gender can contribute to creating a dynamic intellectual group. We are committed to creating a diverse and inclusive environment of mutual respect and one that rejects discrimination, prejudice, and intolerance.