Sunil Rao received a B.E. degree in electronics and communications engineering from Visvesvaraya Technological University, India, in 2013, and an M.S. degree in electrical engineering from Arizona State University, Tempe, AZ, USA, in 2018. He is currently pursuing a Ph.D. degree at the School of Electrical, Computer, and Energy Engineering, Arizona State University. His research interests include solar array fault classification using machine learning, signal processing, and deep learning. Sunil is a recipient of the IEEE Irv Kaufman student award in 2019.
