Dr. Pulkit Grover
Angel Jordan Associate Professor, Electrical & Computer Engineering, Biomedical Engineering, and Carnegie Mellon Neuroscience Institute
- B.Tech, Electrical Engineering, Indian Institute of Technology, Kanpur, 2003
- M.Tech, Electrical Engineering, Indian Institute of Technology, Kanpur, 2005
- Ph.D., Electrical Engineering and Computer Science, University of California Berkeley, 2010
- Postdoctoral Fellowship, Stanford University, 2011 - 2012
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.
Professor Grover's lab is interested in an understanding of information that goes beyond just communication. Our lab seeks to attain this understanding through a mix of thought and laboratory experiments, spanning examination of fundamental limits all the way to experiments. Current topics of interest include fundamental and practical understanding of circuits and systems for processing and communicating information; flow of information in neural systems and neural interfaces (and use of this understanding to design radically new neural interfaces); and understanding information and its use by exploring the union of control and communication.
Research Interests: theory, noninvasive neural sensing and stimulation
Awards and Recognition
NSF CAREER award
Inaugural Grant from the Chuck Noll foundation for Brain Injury Research
Google Faculty Research Award
IEEE Leonard G Abraham award