Profile

Rajkumar Kubendran is currently an Assistant Professor at the University of Pittsburgh, Department of

Electrical and Computer Engineering. He received his Ph.D. degree from the University of California San

Diego, where he worked on energy-efficient Neuromorphic VLSI Computing Systems, spanning from

devices to applications. His academic interests include low power analog and mixed signal circuit design

with emerging non-volatile memory devices to build event-driven architectures for computer vision and

machine learning applications. He has demonstrated prototypes of dynamic vision sensors (DVS) and in-

memory compute architectures with some of the best energy-efficiency metrics reported in literature. He

received the M.S. degree in Electrical and Computer Engineering from Purdue University in 2012. He

received the Best Student Paper award at ISCAS 2013. He has interned with multiple analog and RF

design teams in industry, including Intel, IMEC Belgium, MaxLinear and Qualcomm.