Team

Rakesh Kumar is an Associate Professor in the Electrical and Computer Engineering Department at the University of Illinois at Urbana Champaign.. His current research interests are in computer architecture, stochastic and approximate computing, low power and error resilient computer systems, and architectures for inference and machine learning. 

His most significant research contributions are in the areas of multi-core architecture and design (his past research on heterogeneous multi-core architectures and conjoined-core architectures has directly influenced processor products and roadmaps from several companies), peak power management (he co-developed the first techniques for peak power management for single-core and multi-core processors), stochastic and approximate computing (he co-developed the first set of techniques for graceful voltage-reliability tradeoffs in hardware and functional units; he also co-developed the concept of recovery-driven design), and algorithm-based fault tolerance (he co-developed the first ABFT techniques targeting sparse algebra; he also led the development of several techniques to build error tolerant versions of applications) . 

His research recognitions include several best paper awards and best paper award nominations, ARO Young Investigator Award, Arnold O Beckman Research Award, FAA Creative Research Award, UCSD CSE Best Dissertation Award, and an IBM PhD Fellowship. Teaching recognitions include appearance on UIUC's List of Teachers Ranked as Excellent. Advising recognitions include Engineering Council Outstanding Advisor Award. 

Rakesh has a BS from IIT Kharagpur and a PhD from University of California at San Diego.