Expertise

Topics:  Biomedical Systems, Neuroengineering, Computing Systems, Neuroscience, Information Theory

Industries: Computer Software, Education/Learning, Research

Pulkit Grover is an assistant professor at CMU. Prior to joining CMU in 2013, he was a postdoctoral researcher at Stanford. He is interested in interdisciplinary research directed towards developing a science of information for making decentralized sensing, communication and computing systems (including biomedical systems) energy-efficient and stable. 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 Award from UC Berkeley; the 2012 Leonard G. Abraham best paper award from the IEEE Communications Society; a 2014 best paper award at the International Symposium on Integrated Circuits (ISIC); and a 2014 NSF CAREER award.

He has served as an editor for two issues of IEEE Journal of Selected Areas in Communications (JSAC) on energy harvesting and green communications (in 2014 and 2015), has been on the TPC of ISITs 2016 and 2017, IEEE WiOpt 2015, ICDCS 2015 Energy Management and Green Computing, and IEEE ICC 2013 workshop on green communications. He has also co-organized video-abstracts at ITA 2013 and 2014.

Media Experience

'DeepFocus' offers minimally invasive brain stimulation through the nose  — MSN
CMU researchers have developed DeepFocus, a minimally invasive deep brain stimulation method using transnasal and transcranial electrical stimulation for more precise targeting. "This allows stimulation of deep brain targets that were previously difficult to access, enabling more precise interventions for conditions like depression, PTSD, and addiction," said Pulkit Grover (College of Engineering).

Carnegie Mellon University’s Postdoctoral Researcher Named Fulbright U.S. Scholar  — India Education
Kwasa works in the labs of Pulkit Grover, Angel Jordan Professor of Electrical and Computer Engineering and the Neuroscience Institute and Barbara Shinn-Cunningham, director of the Neuroscience Institute and George A. and Helen Dunham Cowan Professor of Auditory Neuroscience. Kwasa is also the chief technology officer of Precision Neuroscopics, a startup that sells inclusive neural technology products.

Precision Neuroscopics wins $150,000 UpPrize for improving EEGs for Black patients  — NEXTpittsburgh
Pulkit Grover, a co-founder and chief visionary officer at Precision Neuroscopics and professor of electrical engineering at CMU, says Etienne’s discovery of the problem with EEGs “was equally as important as finding the solution.”

Why Companies Are Using AI to Increase Diversity, But It May Not Work  — Lifewire
"The biggest issue is that AI systems are great at observing and identifying patterns, which can propagate biases with respect to gender, race, etc. present in historical data, or even generate entirely new biases not present in the data," Pulkit Grover, a professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, who was not involved in the research, told Lifewire in an email interview.

The Chuck Noll Foundation For Brain Injury Research Announces Inaugural Research Grants  — Business Wire
This is a three-year study to develop a novel system for concussion monitoring and treatment. The proposed work brings together scientific leaders in engineering, neuroscience, and clinicians in brain injury research at CMU and University of Pittsburgh to develop automated noninvasive monitoring and treatment of concussions.

Innovation in brain imaging  — Phys.org
Writers and scientists throughout history have searched for an apt technological analogy for the human brain, often comparing it to a computer. For Pulkit Grover, Carnegie Mellon University assistant professor of electrical and computer engineering and the Center for Neural Basis of Cognition, this analogy couldn't be more fitting. Although Grover and his research team spend much of their time exploring how information flows through computer networks (such as coding systems, cyberphysical systems, and low-power wireless systems), they also apply these information theory principles to brain-imaging systems. This cross-disciplinary research approach bridges mathematical theory with clinical applications—striving to improve the treatment of neurological disorders such as epilepsy.