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Advait Madhavan (Assoc)
Advait Madhavan is a UMD Assistant Research Scientist in the Alternative Computing Group in the Nanoscale Device Characterization Division of the Physical Measurement Laboratory (PML). He received a Ph.D. in Electrical and Computer Engineering from the University of California, Santa Barbara and is currently working with Mark Stiles and Jabez McClelland. His interests lie in various brain inspired approaches to computation such as temporal, analog and stochastic codes. His expertise lies in VLSI, with the objective of building chips to interface with emerging technologies in order to realize these unconventional computing paradigms.
Selected Publications
- Madhavan, Advait, Matthew W. Daniels, and Mark D. Stiles. "Temporal state machines: Using temporal memory to stitch time-based graph computations." ACM Journal on Emerging Technologies in Computing Systems (JETC) 17.3 (2021): 1-27.
- 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).