Navid Azizan
Edgerton Assistant Professor of Mechanical Engineering, and Data, Systems, and Society
Research Interests
Machine learning for physical systems. Trustworthy machine learning. Mathematical optimization. Dynamical systems and control theory. Safety-critical systems. Autonomy. Scientific machine learning. Network science.