Guozhen Zhu

Papers

Total Citations

H-Index

About

Guozhen Zhu is an emerging researcher specializing in indoor intelligent perception, wireless sensing, and location-based services — fields that sit at the intersection of ubiquitous computing and human-computer interaction. His work addresses some of the most pressing practical challenges in deploying smart indoor systems at scale, particularly the difficulty of distinguishing human activity from non-human interference in real-world environments. Zhu's most recognized contribution, *Wi-MoID* (2023, 12 citations), demonstrates how WiFi signals combined with edge computing can reliably discriminate between human and non-human motion — a critical breakthrough for making presence-detection systems viable in homes and workplaces populated by pets, robots, and appliances. This theme is further explored in his earlier work *"Who Moved My Cheese?"* (2022, 7 citations), which laid conceptual groundwork for WiFi-based motion classification. His research on indoor mapping, *EZMap* (2022, 10 citations), tackles the persistent scarcity of accurate floor plans by enabling high-precision robotic tracking without expensive lidar hardware, significantly lowering barriers to deploying indoor location services. Though early in his career, Zhu's focused and practically motivated research agenda has already attracted meaningful scholarly attention, positioning him as a promising voice in pervasive computing and smart sensing research.