Nakul Garg is an Assistant Professor in the Department of Electrical and Computer Engineering at Rice University. He received his Ph.D. from the University of Maryland, College Park.

Nakul's research mission is to enable physical intelligence in everyday objects and environments. His group pioneers new frontiers in wireless and acoustic sensing, developing mobile systems that merge innovations in hardware, signal processing, and machine learning. This approach brings novel sensing, perception, and computational capabilities to applications in robotics, digital health, smart cities, and the Internet of Things.

In recognition of his research impact, Nakul was named a Marconi Young Scholar. His work on micro-watt acoustic imaging for robot navigation received the Best Paper Award at MobiSys 2022. His research has been published in leading conferences, including MobiSys, SenSys, and NSDI, and has been featured as a research highlight in Communications of the ACM (CACM) and ACM GetMobile. Nakul's contributions have also been recognized as an ACM SIGMOBILE Research Highlight of the Year, a CPS Rising Star, and with several best demo and poster awards. He is also a recipient of the University of Maryland's Ann G. Wylie Dissertation and Future Faculty Fellowships.