Jizhong Zhao

Papers

Total Citations

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About

Jizhong Zhao is a leading researcher in pervasive computing, wireless sensing, and cyber-physical systems, with a focus on non-invasive technologies for healthcare and industrial applications. His work on RF-based sensing has produced impactful contributions, particularly in fall detection and object localization. His most-cited paper, “mm-Fall: Practical and Robust Fall Detection via mmWave Signals” (2025, 4 citations), addresses a critical health risk for older adults by leveraging millimeter-wave signals for privacy-preserving, non-wearable fall detection—offering a practical alternative to camera- or sensor-based systems. In another key work, “Utilizing Tag Interference for Refined Localization of Passive RFID” (2021, 2 citations), Zhao tackles the challenge of high-precision object localization within small regions, such as tabletops, using passive RFID tags. This innovation supports advanced cyber-physical systems in industrial settings. Zhao’s research consistently emphasizes real-world deployability, balancing accuracy with user privacy and minimal infrastructure. His contributions are shaping the next generation of smart environments, where seamless, unobtrusive sensing can enhance safety and efficiency in homes, hospitals, and factories.