Pulkit Grover
Angel Jordan Career Development Professor, Biomedical Engineering, Electrical and Computer Engineering
Angel Jordan Career Development Professor, Biomedical Engineering, Electrical and Computer Engineering
Pulkit Grover is a 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).
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
CMU News
The Neuroscience Institute’s Jasmine Kwasa received a Fulbright U.S. Scholar Program award to support epilepsy monitoring research in Kenya.
CMU Engineering
Afretec has awarded 11 grants, each led by a multi-university research team, to build research capacity and work toward achieving the UN Sustainable Development Goals (SDGs) in Africa.
CMU-Africa
The African Engineering and Technology Network, led by CMU-Africa, awarded six planning grants to research collaborations that will lead to socio-economic impact and focus on driving inclusive digital growth on the continent.
IEEE Information Theory Society
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
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.
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
Alireza Chamanzar created an algorithm to locate regions of neural silence using an EEG, a widely accessible device that measures brain activity.
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
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
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
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
One group of CMU researchers has a wide variety of students exploring novel uses and implementation methods for an underutilized technology: EEG nodes.