Rajkumar Kubendran

Rajkumar Kubendran is an Assistant Professor at the University of Pittsburgh's Department of Electrical and Computer Engineering within the Swanson School of Engineering. His research focuses on neuromorphic engineering, low-power analog circuits, and biomedical hardware design. He holds a PhD from the University of California San Diego (2014–2020), an MS from Purdue University (2009–2012), and a B.Tech from the National Institute of Technology (2004–2008). His work includes prototypes like dynamic vision sensors (DVS) and in-memory compute architectures, with applications in event-driven computer vision and medical devices.

Research interests span brain-machine interfaces, compute-in-memory systems, and neuromorphic computing for robotics and biomedical applications. Notable projects include retina-inspired cameras, custom AI hardware, and programmable stimulators for neural interfaces. His team emphasizes energy-efficient architectures and bio-inspired designs, with recent publications in areas like event-based sensorimotor control and neuromorphic benchmarking frameworks.

Professional experience includes internships at Intel, IMEC Belgium, MaxLinear, and Qualcomm. He is an IEEE Senior Member. Though no awards are explicitly listed, his contributions to neuromorphic systems reflect significant technical impact. Current work integrates hardware-software co-design for scalable neuromorphic systems and biomedical device startups.