Navid Azizan

Assistant Professor, Mechanical Engineering

Navid Azizan is an assistant professor in IDSS and MechE and a member of LIDS.  His research interests broadly lie in machine learning, control theory, mathematical optimization, and network science, and his work focuses on the design and analysis of intelligent systems. He received his PhD in Computing and Mathematical Sciences (CMS) at the California Institute of Technology (Caltech) and was a postdoctoral scholar in the Autonomous Systems Laboratory at Stanford University.

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