Carnegie Mellon University

Pulkit Grover

Pulkit Grover

Associate Professor, Electrical and Computer Engineering

  • B202 Hamerschlag Hall
  • 412-268-3644
Address 5000 Forbes Avenue
Pittsburgh, PA 15213


Pulkit Grover (Ph.D. UC Berkeley'10, B.Tech, M. Tech IIT Kanpur) is an associate professor at CMU (2013-). His main contributions to science are towards developing and experimentally validating a new theory of information (fundamental limits, practical designs) for efficient and reliable communication, computing, sensing, and control, e.g. by incorporating novel circuit-energy models and developing new mathematical tools for information flow analyses. To apply these ideas to a variety of problems including novel biomedical systems, his lab works extensively with system and device engineers, neuroscientists, and doctors. Specifically, work of his neuroengineering lab is focused on tools (theoretical, computational, and hardware) for understanding, diagnosing, and treating disorders such as epilepsy, Parkinson's, and traumatic brain injuries. Pulkit received the 2010 best student paper award at IEEE Conference on Decision and Control; the 2011 Eli Jury Dissertation Award from UC Berkeley; the 2012 Leonard G. Abraham best journal paper award from the IEEE ComSoc; a 2014 NSF CAREER award; a 2015 Google Research Award; a 2018 Dean's Early Career Fellowship from CMU CIT; and a 2018 inaugural award from the Chuck Noll Foundation for Brain Injury Research. He presented an ISIT’17 tutorial on "coded computing," an emerging science of computing in presence of faults, delays, errors. In 2018, he received the Joel and Rut Spira Excellence in Teaching Award. He's also learning how to play the sax and enjoys his free time with his wife, Kristen, and son, Utsah.



  • Fundamental and practical understanding of strategies and circuits for processing and communicating information
  • Flow of information in neural systems and neural interfaces
  • Understanding information and its use by exploring the union of control and communication
  • Noninvasive bio-sensing
  • Distributed sensing
  • Neurostimulation