Ph.D. 2020, Illinois. Computer architecture and systems, brain-computer interfaces (BCIs), quantum computing, brain-inspired AI hardware, cognitive modeling, formal control, energy and power efficiency, security, machine learning, datacenters and cloud, compilers.<\/p>\n
Raghav\u2019s vision is to build computer systems that connect natural intelligence with artificial intelligence, advancing the brain sciences, healthcare, and computing. His research is on brain-computer interfaces (BCIs), quantum and classical frameworks to accelerate cognitive models, and biologically inspired computer architectures. Prior to UNC, he was an Associate Research Scientist and an NSF\/CRA Computing Innovation Fellow at Yale University with Abhishek Bhattacharjee and Jonathan D. Cohen (Princeton, neuroscience). He received his Ph.D. in computer science from the University of Illinois at Urbana-Champaign (UIUC) with Josep Torrellas, and a B.E. (Hons.) in electrical and electronics engineering from the Birla Institute of Technology & Science (BITS) in Pilani, India. Raghav has received several awards for his work, including the Blavatnik Regional Award for Young Scientists by The New York Academy of Sciences, selection as a young researcher at the Heidelberg Laureate Forum, rising star in computer architecture, a Best Paper award at the International Symposium on Computer Architecture (ISCA), two IEEE Micro Top Picks in Computer Architecture selections, a Best Paper nomination at the International Conference on Parallel Architectures and Compilation Techniques (PACT), and other honors by ACM, IEEE, UIUC, and BITS Pilani.<\/p>\n","protected":false},"excerpt":{"rendered":"