Pulkit Grover

Pulkit (Ph.D. UC Berkeley'10, B.Tech, M.Tech IITK'05) is Professor at CMU ECE. His main contributions are towards advancing and experimentally validating science of information for engineering (and reverse engineering) computing systems, energy-efficient communication, distributed control, and neural inference, sensing, and stimulation. His lab is focused on advancing theory, algorithms, and hardware for fair and explainable machines on one hand, and for understanding, diagnosing, and treating disorders such as epilepsy, stroke, and traumatic brain injuries on the other. For these, his lab works extensively with data scientists, system and device engineers, neuroscientists, and clinicians. A goal of his neuroengineering work is ensuring that advances in engineering are accessible to all, regardless of their hair-type or skin color. Pulkit received the 2010 best student paper award at IEEE Conference on Decision and Control; the 2011 Eli Jury Dissertation Award (UC Berkeley); the 2012 Leonard G. Abraham award (IEEE ComSoc); a 2014 NSF CAREER award; a 2015 Google Research Award; a 2018 inaugural award from the Chuck Noll Foundation for Brain Injury Research; the 2018 Spira Excellence in Teaching Award (CMU), and the 2019 best tutorial paper award (IEEE ComSoc). From 2019-2024, he’s leading the SharpFocus center, a multi-institution effort aimed at high-resolution noninvasive brain sensing and stimulation. He has given two tutorials at ISIT (2018 and 2021) and is a co-organizers for a workshop at ISIT 2024. Some of his work is impacting practice, e.g. in improving neural recordings at the UPMC Children's Hospital of Pittsburgh.