Navid Rahbariasr

Navid Rahbariasr received his Ph.D. in Electrical Engineering from North Carolina State University, Raleigh, NC, USA, in 2015. He earned his M.Sc. in Electrical Engineering from Tarbiat Modares University, Tehran, Iran, in 2011, and his B.Sc. in Electrical Engineering from Tabriz University, Tabriz, Iran, in 2008, specializing in Control Systems.

He is currently an Associate Research Scientist at Columbia University, where he develops advanced control and optimization techniques for energy and power management in AC and DC microgrids. Additionally, he is an Adjunct Faculty member, teaching a graduate course on Model Predictive Control.

Before joining Columbia University, he was a Principal Engineer and Senior Team Lead at MathWorks, where he led a team providing advanced technical support and consulting for MATLAB/Simulink applications in Model-Based Design (MBD), Embedded Code Generation, and AUTOSAR. Prior to that, he worked as a Control Systems Engineer at Ford Motor Company, focusing on high-voltage energy storage control for electric vehicles, including Model-Based Design, threat modeling, and vehicle-to-grid interactions.

He has also served as an Adjunct Lecturer at the University of Michigan-Dearborn, teaching graduate-level courses on sustainable energy systems and energy storage devices.

His research interests include advanced optimization and control with applications to renewable energy systems, electric vehicles, and smart grids. He has authored multiple peer-reviewed journal articles and conference papers and holds several patents related to battery management, electric vehicle energy optimization, and grid interactions.