Swagath Venkataramani received the bachelor’s degree in electrical and electronics engineering from the College of Engineering, Anna University, Guindy, India, in 2010, as the University Gold Medalist and his Ph.D. degree from the School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA, in 2016.
Previously, Swagath was a visiting research scientist with Parallel Computing Labs, Intel, Bangalore, India. He has also been with the Exa-Scale Computing Group, Intel, Hillsboro, OR, USA, as part of the U.S. DOE’s FastForward Program, and with the Sensing and Energy Research Group, Microsoft Research, Seattle, WA, USA. His current research interests include approximate computing, energy-efficient machine/deep learning, heterogeneous parallel architectures, computing with spintronic devices, and computational imaging.
Swagath’s dissertation research was awarded the Intel Ph.D. Fellowship in computing leadership and the Purdue Bilsland Dissertation Fellowship. His research has received two best paper nominations from DAC 2016 and ISLPED 2014, and was adjudged the winner of ACM SIGDA DAC PhD Forum 2016. It has also been featured in MIT Technology Review, Slashdot, Physics Today, and NSF News From the Field.