Directory

Pulkit Grover is an assistant professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University. He received his Ph.D. from the University of California, Berkeley in 2010. He focuses on interdisciplinary research directed towards developing a science of information for understanding/designing energy-efficient and stable decentralized systems (from low-power communication/computation systems, to large control, computational, and biological systems). He is the recipient of an NSF CAREER Award (2014), the best paper award at the International Symposium on Integrated Circuits (ISIC), the best student paper award at the IEEE Conference in Decision and Control (CDC) 2010, and the 2012 Leonard G. Abraham best paper award from the IEEE Communications Society for his work on energy-efficient communication. For his dissertation research, he received the 2011 Eli Jury Award from the Department of Electrical Engineering and Computer Sciences at UC Berkeley.

He was a co-editor of the IEEE Journal on Selected Areas in Communications (JSAC) special issues on "Energy Harvesting and Wirelessly Powered Communications" (2014-15).

Office
B202 Hamerschlag Hall
Phone
412.268.3644
Email
pgrover@andrew.cmu.edu
Google Scholar
Pulkit Grover
Websites
Pulkit Grover's website

Information Theory, Energy-Efficient Communication and Computing, and Neural Sensing

Novel Strategies for Sensing and Stimulating the Brain Noninvasively and Precisely

Education

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

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

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

Media mentions


IEEE Information Theory Society

Grover named distinguished lecturer

ECE’s Pulkit Grover was named the 2022-2023 Distinguished Lecturer for IEEE’s Information Theory Society. Grover plans to give talks in Asia, Africa, and various places in North and South America, supported by this program.

NIH

New grant to fund cardiac electrophysiology research

BME/MSE’s Tzahi Cohen-Karni was recently awarded a $3.1 NIH/NHLBI grant to further cardiac electrophysiology research. Over the next five years, Cohen-Karni will partner with Pitt’s Aditi Gurkar (co-PI), BME/MSE’s Adam Feinberg, MechE’s Carmel Majidi, and ECE’s Pulkit Grover to study the role of DNA damage in the cardiac unit using induced pluripotent stem cells.

Facebook

BME/ECE faculty proposal selected for Facebook research grant

BME’s Jana Kainerstorfer and Sossena Wood and ECE’s Pulkit Grover have received a research ground from Facebook’s Engineering Approaches to Responsible Neural Interface Design program. Their research is focused on racially inclusive optical technology.

CMU Engineering

Finding silence in the brain

Alireza Chamanzar created an algorithm to locate regions of neural silence using an EEG, a widely accessible device that measures brain activity.

Engineering faculty awarded professorships

Engineering faculty Peter Adams, Elizabeth Dickey, Carlee Joe-Wong, Pulkit Grover, Alan McGaughey, Rahul Panat, and Douglas Weber were awarded professorship titles in February and March 2021.

PITA

Detecting and Stopping Brain Tsunamis with EEG Technology

A research team led by Carnegie Mellon University, in collaboration with clinicians at the University of Pittsburgh, is exploring how to detect and minimize brain damage.

the Accelerator

College of Engineering announces Catalyst 2020 winners

The College of Engineering is pleased to announce that the College will fund three Catalyst proposals as winners of the Catalyst 2020 competition.

CMU Engineering

Managing necessary bias in AI

Some biases in AI might be necessary to satisfy critical business requirements, but how do we know if an AI recommendation is biased strictly for business necessities and not other reasons?

CMU Engineering

The power of EEG and student innovation

One group of CMU researchers has a wide variety of students exploring novel uses and implementation methods for an underutilized technology: EEG nodes.

Singularity Hub features ECE/BME joint DARPA project

Singularity Hub featured BME and ECE researchers’ project recently funded by DARPA, in which they are using ultrasound waves to pinpoint light interaction in targeted brain regions, then measuring brain waves through a wearable “hat.”

CMU Engineering

Wearable system to sense and stimulate the brain

A team of researchers from Carnegie Mellon is starting a project to design and implement a high-resolution, noninvasive neural interface that can be used as a wearable device.

CMU Engineering

Strength training deep neural networks

A team led by Pulkit Grover created more efficient deep neural networks called PolyDot coding to reduce errors and increase processing speed.