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About

Dinesh Bharadia is a pioneering researcher whose work spans wireless sensing, indoor robotics, and next-generation cellular networks. His research uniquely bridges the gap between wireless communication systems and real-world physical sensing applications, creating innovative solutions that leverage ubiquitous technologies like WiFi for complex tasks previously requiring specialized hardware. Bharadia's most impactful contributions center on WiFi-based simultaneous localization and mapping (SLAM), exemplified by his P2SLAM system (2022, 40 citations), which demonstrated that bearing-based WiFi signals could enable robust indoor robot navigation. His work extends wireless sensing into the physical domain through projects like WiForce and ForceSticker, which harness wireless backscattering to detect and localize contact forces — opening transformative possibilities in robotics, medical devices, and human-computer interaction. Beyond sensing, Bharadia has contributed to intelligent cellular infrastructure through EdgeRIC, advancing real-time RAN intelligence for NextG networks. His 2020 work on self-supervised depth estimation further reflects his breadth across computer vision and autonomous systems. With publications spanning IEEE venues and cutting-edge systems conferences, Bharadia's interdisciplinary research is shaping the future of wireless-enabled autonomous systems, making him an increasingly influential voice at the intersection of communications, robotics, and sensing.