S.-H. Gary Chan
Papers
1
Total Citations
6
H-Index
1
About
S.-H. Gary Chan is a leading researcher in mobile computing, wireless networking, and indoor localization systems. His work addresses critical challenges in smart-city applications, particularly in multi-floor indoor environments. Chan’s major contribution lies in developing scalable, low-cost solutions for location-based services using crowdsourced data. His highly cited paper, “FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals” (2023), introduces a novel approach that requires only a single labeled sample to accurately predict floor numbers from RF signals—dramatically reducing the need for extensive manual calibration. This innovation has significant implications for geofencing, robot surveillance, and indoor navigation, with the paper already garnering 6 citations shortly after publication. Chan’s work is distinguished by its practical focus on real-world deployment, enabling robust performance even with sparse training data. His research continues to shape the future of ubiquitous computing, offering efficient and reliable solutions for the growing Internet of Things ecosystem.
Research Focus
Key Achievements
Top Papers
- 1