Rate My Professor Sridhar Seshadri

Sridhar Seshagiri is a professor in the Department of Electrical and Computer Engineering at San Diego State University within the College of Engineering. He joined the university in August 2003. His academic background includes a B.Tech. degree in Electrical Engineering from the Indian Institute of Technology, Madras in 1995, two M.S. degrees—one in electrical engineering and one in mathematics—from Michigan State University in 1998, and a Ph.D. in electrical engineering from Michigan State University in 2003, with research on output regulation of nonlinear systems.

Seshagiri's research specializations encompass nonlinear control, adaptive approximation-based control, and applications to machines and drives as well as renewable energy technologies, including photovoltaics, wind energy systems, and storage. His projects include control for battery management systems, hybrid energy storage systems for grid integration of renewables, hybrid and nonlinear control of power converters, power optimization and control for photovoltaic and wind energy conversion systems, and distributed wide-area control of power systems. He participates in funded initiatives supported by the Office of Naval Research, Electric Power Research Institute, and NSF, and contributed to a project under the DOE SunShot Initiative led by Electicore Inc. Seshagiri served as Faculty Research Intern at San Diego Gas & Electric in the summers of 2010 and 2011, working on photovoltaic inverter modeling, system reliability, governing standards, utility experiences, and impacts of high penetration levels of PV on distribution grids.

Among his key publications are 'Robust Output Feedback Regulation of Minimum-Phase Nonlinear Systems Using Conditional Integrators' (Automatica, vol. 41, 2005), 'Output Feedback Control of Nonlinear Systems Using Neural Networks' (IEEE Transactions on Neural Networks, vol. 11, no. 1, 2000), 'Power optimization for photovoltaic micro-converters using multivariable Newton-based extremum-seeking' (IEEE Transactions on Control Systems Technology, vol. 22, no. 6, 2014), 'Multivariable extremum seeking-based power optimization of wind turbines' (ASME Dynamic Systems and Control Magazine, March 2014), 'Nonlinear output regulation with adaptive conditional integrators' (IET Control Theory & Applications, vol. 3, iss. 9, 2009), and 'Multivariable Newton-based extremum seeking for power optimization in photovoltaic-wind micro-converters' (IFAC Control Engineering Practice, vol. 35, 2015). He has also authored numerous conference papers presented at events such as the American Control Conference and IEEE conferences.

In addition to research, Seshagiri teaches courses including EE300: Computational and Statistical Methods for Electrical Engineers. He is dedicated to undergraduate education and research, mentoring students on senior design projects and independent studies funded by the President's Leadership Fund. A significant portion of his graduate advisees are from underrepresented groups in engineering. He serves on the College of Engineering Diversity, Equity, and Inclusion Committee and as University Senate Treasurer.