Tin Kam Ho

Papers

Total Citations

125

H-Index

About

Tin Kam Ho is a researcher whose work sits at the intersection of indoor localization, wireless systems, and autonomous robotics. Best known for contributions to radio-frequency (RF) fingerprinting and probabilistic localization techniques, Ho has advanced the field of pervasive computing by developing smarter, more scalable methods for positioning people and devices in indoor environments where GPS is unavailable. His most cited work, "Probabilistic Radio-Frequency Fingerprinting and Localization on the Run" (2014, 67 citations), introduced sophisticated probabilistic models for interpreting received signal strength (RSS) data from WiFi access points, significantly improving localization accuracy under real-world conditions. Complementing this, his research on autonomous RF surveying robots demonstrated how signal map construction — traditionally a labor-intensive manual process — could be automated using depth cameras and SLAM (Simultaneous Localization and Mapping) techniques, as seen in his 2012 and 2011 papers (30 and 20 citations respectively). Ho's later work on building optimal RF signal maps further refined data collection strategies, reducing overhead while maintaining accuracy. Collectively, his research has meaningfully shaped how indoor localization systems are designed and deployed, making wireless positioning more practical, efficient, and accessible for real-world applications in smart buildings and mobile networks.