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Pulkit Grover - Carnegie Mellon University. Pittsburgh, PA, US

Pulkit Grover

Associate Professor | Carnegie Mellon University


Pulkit Grover is interested in interdisciplinary research directed towards developing a science of information for making computing systems.


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.

Areas of Expertise (5)

Biomedical Systems


Computing Systems


Information Theory

Media Appearances (5)

Carnegie Mellon University’s Postdoctoral Researcher Named Fulbright U.S. Scholar

India Education  online


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.

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Precision Neuroscopics wins $150,000 UpPrize for improving EEGs for Black patients

NEXTpittsburgh  online


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.”

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Why Companies Are Using AI to Increase Diversity, But It May Not Work

Lifewire  online


"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.

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The Chuck Noll Foundation For Brain Injury Research Announces Inaugural Research Grants

Business Wire  online


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.

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Innovation in brain imaging

Phys.org  online


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.

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Faculty Insights with Pulkit Grover Pulkit Grover: Information Theory, Energy-Efficient Communication and Computing, and Neural Sensing Dr. Pulkit Grover on the Chuck Noll Foundation



Industry Expertise (3)

Computer Software



Accomplishments (5)

Best Paper Award (professional)

2014 International Symposium on Integrated Circuits (ISIC)

NSF CAREER Award (professional)


Leonard G. Abraham Best Paper Award (professional)

2012 IEEE Communications Society

Eli Jury Award (professional)

2011 UC Berkeley

Best Student Paper Award (professional)

2010 IEEE Conference in Decision and Control (CDC)

Education (3)

University of California Berkeley: Ph.D., Electrical Engineering and Computer Science 2010

Indian Institute of Technology, Kanpur: B.Tech, Electrical Engineering 2003

Indian Institute of Technology, Kanpur: M.Tech, Electrical Engineering 2005

Event Appearances (1)

Cyber-Physical Systems: the need to look beyond Turing's machine

Georgia Tech Summer School on Cyber-Physical Systems  


Patents (3)

Method for detecting and localizing brain silences using eeg



A novel method for using the widely-used electroencephalography (EEG) systems to detect and localize silences in the brain is disclosed. The method detects the absence of electrophysiological signals, or neural silences, using noninvasive scalp electroencephalography (EEG) signals. This method can also be used for reduced activity localization, activity level mapping throughout the brain, as well as mapping activity levels in different frequency bands. By accounting for the contributions of different sources to the power of the recorded signals, and using a hemispheric baseline approach and a convex spectral clustering framework, the method permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data.

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Non-invasive method for suppressing spreading depolarization in human brains



Methods providing reliable and non-invasive ways to suppress spreading depolarization waves leading to cortical spreading depression are disclosed. The calcium conductance parameter of the 6 component Tuckwell model of spreading depolarization wave propagation is modified using Anderson Localization and other methods to disrupt the propagation of the waves, thus suppressing and eliminating spreading depolarization.

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Conductive carbon fiber-based sponge



A carbon fiber-based conductive sponge for low electrode-skin impedance biosignal recordings is described. When the sponge is used with water or saline solution, no gel is required, drastically lowering the setup time for EEGs compared to classical wet electrodes. The wet sponges achieve an electrode-skin impedance as low as 2.5 kٶ when wet, making them better than state of the art gel electrodes. Additionally, even as the sponge dries, it continues to remain conductive and performs as a reliable dry electrode.

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Articles (5)

A model of neurovascular coupling and its application to cortical spreading depolarization

Journal of Theoretical Biology

2023 Cortical spreading depolarization (CSD) is a neuropathological condition involving propagating waves of neuronal silence, and is related to multiple diseases, such as migraine aura, traumatic brain injury (TBI), stroke, and cardiac arrest, as well as poor outcome of patients. While CSDs of different severity share similar roots on the ion exchange level, they can lead to different vascular responses (namely spreading hyperemia and spreading ischemia).

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High resolution focused non-invasive electrical stimulation of motor cortex in rodent model

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)

2023 Transcranial electrical stimulation (TES), a technique for stimulating the brain without surgical intervention, has potential applications for therapeutic interventions as well as brain-computer interfaces. One of the known limitations of conventional TES is that the stimulation volume is very large, due to the size and placement of electrodes typically used, which does not allow accurate targeting and results in large off-target activation. This work demonstrates a novel method for high resolution transcranial stimulation of motor cortex in mouse models using a flexible ultra-high-density electrode array.

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Building a culture of responsible neurotech: Neuroethics as socio-technical challenges


2022 Scientists around the globe are joining the race to achieve engineering feats to read, write, modulate, and interface with the human brain in a broadening continuum of invasive to non-invasive ways. The expansive implications of neurotechnology for our conception of health, mind, decision-making, and behavior has raised social and ethical considerations that are inextricable from progress.

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Effect of skull thickness and conductivity on current propagation for noninvasively injected currents

Journal of Neural Engineering

2021 When currents are injected into the scalp, e.g. during transcranial current stimulation, the resulting currents generated in the brain are substantially affected by the changes in conductivity and geometry of intermediate tissue. In this work, we introduce the concept of 'skull-transparent' currents, for which the changing conductivity does not significantly alter the field while propagating through the head.

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Abnormalities in cortical pattern of coherence in migraine detected using ultra high-density EEG

Brain Communications

2021 Individuals with migraine generally experience photophobia and/or phonophobia during and between migraine attacks. Many different mechanisms have been postulated to explain these migraine phenomena including abnormal patterns of connectivity across the cortex. The results, however, remain contradictory and there is no clear consensus on the nature of the cortical abnormalities in migraine.

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