Ashutosh Dhekne

Georgia Institute of Technology, University of Illinois Urbana-Champaign

Papers

Total Citations

H-Index

About

Ashutosh Dhekne is a leading researcher at the intersection of mobile computing, wireless sensing, and cyber-physical systems, with a focus on reimagining how devices perceive and interact with the physical world. His work is defined by two major contributions: high-precision object tracking using commodity wireless signals, and the novel concept of robotic wireless networks. In his highly cited work "ITrackU" (34 citations), Dhekne pioneered a method for sub-millimeter tracking of pen-like instruments without embedding electronics in the tip—a breakthrough with profound implications for education, robotics, and digital art. He extended this line of inquiry with "UTrack3D" (8 citations), demonstrating 3D hand and object tracking using ultra-wideband radios, offering a low-cost alternative to expensive camera-based systems for AR/VR and movement science. Simultaneously, Dhekne’s visionary "Case for Robotic Wireless Networks" (14 citations) and its follow-up "If WiFi APs Could Move" (12 citations) introduced the paradigm of mobile WiFi access points that autonomously reposition to optimize user performance—a foundational idea for self-deploying, adaptive network infrastructure. His work consistently bridges theoretical innovation with practical, deployable systems, earning recognition for pushing the boundaries of wireless sensing and networked robotics.