CRML Affiliated Faculty
Assistant Professor, Electrical and Computer Engineering
Dr. Alizadeh's research is focused on increasing efficiency and reliability in societal-scale cyber-physical systems such as energy and transportation infrastructure. This challenge is fundamentally interdisciplinary and hence in order to address problems in this area, we develop novel algorithms based on tools from machine learning, optimization, network control, and game theory. Specific applications of interest include facilitating renewable energy integration in smart power systems as well as congestion management and promoting smart charging efforts in electric transportation systems.
Mahnoosh Alizadeh is an assistant professor of Electrical and Computer Engineering at the University of California Santa Barbara. She received the B.Sc. degree ('09) in Electrical Engineering from Sharif University of Technology and the M.Sc. ('13) and Ph.D. ('14) degrees in Electrical and Computer Engineering from the University of California Davis, where she was the recipient of the Richard C. Dorf award for outstanding research accomplishment. From 2014 to 2016, she was a postdoctoral scholar at Stanford University. Her research interests are focused on designing scalable control, learning, and market mechanisms to promote efficiency and resiliency in societal-scale cyber-physical systems. Dr. Alizadeh is a recipient of the NSF CAREER award and the best paper award from HICSS-53 power systems track.