Nakul Garg

Nakul Garg is an Assistant Professor in the Department of Electrical & Computer Engineering at Rice University. He leads research in ambient intelligence, wireless sensing, and embedded AI, focusing on energy-efficient and scalable solutions for IoT systems, robotics, and healthcare. His work bridges the gap between sensing, computing, and communication in everyday environments.

Education includes a PhD in Computer Science from the University of Maryland, College Park, and a B.Tech in Electronics & Communication Engineering from Indraprastha University, Delhi. His research has been recognized with awards such as the Marconi Society Young Scholar Award (2024) and the Best Paper Award at MobiSys 2022.

Research interests span spatial sensing, low-power IoT localization, and integrating AI into wearable devices. Key projects include LiTEfoot (cellular-based asset tracking), FreshSense (food quality monitoring), and SPiDR (acoustic navigation for micro-robots). He actively collaborates with industry (e.g., Microsoft Research, NEC) and has advised multiple students in developing innovative systems.

Awards and recognitions include the Cyber-Physical Systems Rising Star (2024), NSF I-Corps support, and multiple best paper/demo awards at top conferences. His work has been featured in ACM GetMobile and highlighted by the ACM SIGMOBILE community.