Pulkit Grover  (Ph.D. UC Berkeley'10, B.Tech.'03, M.Tech.'05 IIT Kanpur) is an associate professor in Electrical & Computer Engineering at CMU (2013-), working on information theory, circuit design, and biomedical engineering. His main contributions to science are on developing a new theory of information for low-energy communication, sensing, and computing by incorporating novel (noisy and noiseless) circuit-energy models to add to classical communication or sensing energy models. A common theme is observing when novel optimal designs depart radically from classical theoretical intuition, and testing when these novel designs can lead to arbitrarily large benefits. To apply these ideas to a variety of problems including communication (wired and wireless), wearables, IoT, and novel biomedical systems, his lab works extensively with circuit engineers, neuroscientists, and doctors. 

 

He is the recipient of 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; a 2015 Google Research Award; and a 2015 CMU BrainHUB-ProSEED award.