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Venkat Viswanathan is an Associate Professor in the Department of Aerospace Engineering at the University of Michigan. His research specializes in the intersection of electric aviation, electric vehicles, and battery technologies, with a focus on advancing scientific machine learning methodologies. Over the course of his academic career, Viswanathan has dedicated himself to exploring frameworks that enhance energy storage solutions, making strides in both theoretical and applied aspects of engineering. His teaching portfolio includes courses on Statistical Thermodynamics, Bayesian Inference, Machine Learning, and Computational Fluid Dynamics, where he integrates his cutting-edge research into the classroom. He has received recognition as one of MIT Technology Review's Innovators Under 35, highlighting his innovative contributions to the field of aerospace engineering and energy technologies.
University of Michigan • Ann Arbor, MI
Teaching and conducting research in aerospace engineering.
Department of Electrical Engineering and Computer Science