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

Bio

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.

Education

Keywords

  • 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

Related news

Monday, November 26, 2018

Strength training deep neural networks

Deep neural networks (DNNs) have grown popular with data-driven technological advances because they analyze and process incomprehensible sums of input. These systems are often swift and efficient. But given the amount of data processed, a DNN also encounters errors and slowdowns. To solve these issues, a team let by Pulkit Grover created a more efficient DNN called PolyDot coding.
Monday, July 16, 2018

Insight without Incision: Advances in noninvasive brain imaging offers improvements to epilepsy surgery

Grover and team recently presented their work at the annual meeting of the American Clinical Neurophysiology Society.
Friday, May 04, 2018

Grover and former Steeler Merrill Hoge interviewed by KDKA

Pulkit Grover was interviewed with former Steeler’s running back Merrill Hoge on KDKA’s Sunday Business Page with Jon Delano.
Wednesday, April 04, 2018

The 2018 CIT Dean's Early Career Fellows

Grover, Péraire, Sankaranarayanan, and Yağan are among the eight engineering faculty to received this award for their outstanding contributions to the university.
Tuesday, March 06, 2018

Grover and Kelly receive Chuck Noll Foundation Award

Pulkit Grover and Shawn Kelly and their research team received an award from the Chuck Noll Foundation for Brain Injury Research.
Thursday, February 16, 2017

Innovation in brain imaging

Grover and his research team have been focused on improving the resolution of EEG neural imaging technology, a portable and non-invasive brain imaging system.
Friday, September 09, 2016

Grover presents at IEEE International Symposium

Pulkit Grover presented a paper on the fundamental limits of high-density EEG at the IEEE International Symposium on Information Theory in Barcelona.