Poh Yuen Chan

Papers

Total Citations

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About

Poh Yuen Chan is a researcher specializing in indoor positioning systems (IPS), wireless communications, and sensor network optimization. His most-cited work introduces a Wi-Fi-based passive indoor positioning system that operates without requiring active user collaboration or additional device interfaces—a significant advancement for non-intrusive location tracking. Chan’s key contribution lies in developing an entropy-enhanced deployment strategy for Wi-Fi sniffers, which optimizes sniffer placement to maximize positioning accuracy in complex indoor environments. This approach addresses a critical challenge in passive IPS: balancing coverage and precision without compromising user privacy or requiring hardware modifications. With 17 citations since 2023, his work is gaining traction among researchers in ubiquitous computing and smart building technologies. Chan’s research has practical implications for retail analytics, emergency response, and location-based services, offering a scalable solution that leverages existing Wi-Fi infrastructure. His focus on passive, privacy-preserving localization positions him at the forefront of next-generation indoor navigation systems, where minimal user intervention and robust accuracy are paramount.