B.Tech. Instrumentation and Control Engineering — Netaji Subhas Institute of Technology, New Delhi, India
M.S. Electrical and Computer Engineering — University of California, Santa Barbara, California
Ph.D. Electrical and Computer Engineering — University of California, Santa Barbara, California
Advait Madhavan is a CNST/UMD Postdoctoral Researcher in the Alternative Computing Group. He received a B.Tech. in instrumentation and control engineering from Netaji Subhas Institute of Technology, New Delhi, and both a M.S. and a Ph.D. in electrical and computer engineering from the University of California, Santa Barbara. His doctoral thesis focused on the architecture, circuits and implementation of a novel information processing technique that encodes information in time rather than the conventional voltage levels. Advait is working with Mark Stiles and Jabez McClelland and is researching implementations of energy-efficient neuromorphic architectures via synergetic integration between CMOS and emerging technologies.
- Race logic: Abusing hardware race conditions to perform useful computation, Madhavan, A., Sherwood, T., & Strukov, D., EEE Micro: Micro's Top Picks from Computer Architecture Conferences, 35(3), 48-57 (2015).
- Race logic: A hardware acceleration for dynamic programming algorithms, Madhavan, A., Sherwood, T., & Strukov, D., ACM SIGARCH Computer Architecture News, 42(3), 517-528 (2014).
- A 4-mm 2 180-nm-CMOS 15-Giga-cell-updates-per-second DNA sequence alignment engine based on asynchronous race conditions, Madhavan, A., Sherwood, T., & Strukov, D., In Custom Integrated Circuits Conference (CICC), 2017 IEEE (pp. 1-4). IEEE (2017, April).