معرفی
Pulkit Grover is a Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, with additional appointments in the Neuroscience Institute and Biomedical Engineering (by courtesy), and affiliation with the Center for Neural Basis of Cognition. His research spans multiple interdisciplinary domains including information theory, energy-efficient communication and computing, neural sensing, and noninvasive brain stimulation techniques.
Dr. Grover received his Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley in 2010, following M.Tech and B.Tech degrees in Electrical Engineering from the Indian Institute of Technology, Kanpur (2005 and 2003). He completed a postdoctoral fellowship at Stanford University (2011-2012) before joining CMU as faculty.
His research focuses on developing a science of information for understanding and designing energy-efficient and stable decentralized systems, ranging from low-power communication/computation systems to large control, computational, and biological systems. Key research directions include information theory applied to neural systems, energy-efficient communication and computing, noninvasive neural sensing and stimulation, and coded computation for resilient computing with unreliable elements. His work bridges theoretical foundations with practical implementations, often collaborating with neuroscientists, clinicians, and circuit designers.
Analysis of his recent publications reveals significant contributions in noninvasive brain stimulation techniques (including the development of 'DeepFocus'), high-resolution EEG systems, bias reduction in neural sensing for diverse populations, and theoretical frameworks for information flow in computational systems. His work demonstrates strong integration of information theory with neuroscience and engineering applications.
- NSF CAREER Award (2014)
- Best paper award at the International Symposium on Integrated Circuits (ISIC)
- Best student paper award at IEEE CDC 2010
- 2012 Leonard G. Abraham best paper award from IEEE Communications Society
- 2011 Eli Jury Award from UC Berkeley
- AIMBE College of Fellows induction
- IEEE Information Theory Society Distinguished Lecturer (2022-2023)
Dr. Grover has advised numerous PhD students who have gone on to faculty positions at institutions including Dartmouth College, UCSB, University of Maryland, and University of Pittsburgh. His research has been supported by significant grants from NSF (including CAREER and EARS awards), SRC SONIC Center, NIH, DARPA N3 program, Google Faculty Research Award, and CMU internal funding mechanisms. He leads the 'For All Lab' which focuses on engineering principles of devices and systems that are accessible by all and unbiased toward different hair types and skin colors.
