Pulkit Grover (Ph.D. UC Berkeley'10, B.Tech.'03, M.Tech.'05 IIT Kanpur) is an assistant professor at CMU (2013-), working on information theory, circuit design, and biomedical engineering. His main contributions to science are towards developing and experimentally validating a new theory of information (fundamental limits, practical designs) for efficient communication, computing, and control, e.g. by incorporating novel (noisy and noiseless) circuit-energy models. Recently, his work has advanced the fundamental understanding of bio and neural interfaces by establishing the fundamental limits on information inferred using these interfaces, and obtaining experimental validation showing that noninvasive interfaces can infer much more information than previously believed. To apply these ideas to a variety of problems including communication, computing, sensing, and novel biomedical systems, his lab works extensively with system, circuit, and device engineers, neuroscientists, and doctors.
Pulkit received the 2010 best student paper award at the IEEE Conference in Decision and Control (CDC); a 2010 best student paper finalist at the IEEE International Symposium on Information Theory (ISIT); the 2011 Eli Jury Dissertation Award from UC Berkeley; the 2012 Leonard G. Abraham best journal paper award from the IEEE Communications Society; a 2014 best paper award at the International Symposium on Integrated Circuits (ISIC); a 2014 NSF CAREER award; and a 2015 Google Research Award. He was selected to present an ISIT 2017 tutorial on "coded computation," an emerging science of computing in presence of faults, delays, and errors.