Cui Zhao

Papers

Total Citations

H-Index

About

Cui Zhao is a rising researcher in the field of wireless sensing and pervasive computing, with a focus on non-invasive human activity detection and high-precision localization. Their work addresses critical challenges in healthcare and industrial cyber-physical systems. Zhao’s most notable contribution is the development of **mm-Fall**, a practical and robust fall detection system that leverages millimeter-wave (mmWave) signals. This work, published in 2025 and already garnering 4 citations, tackles the pressing issue of fall-related risks in older adults by offering a non-invasive, privacy-preserving alternative to wearable and vision-based sensors. In parallel, Zhao has advanced the field of **passive RFID localization** through their 2021 study on utilizing tag interference for refined positioning. This research enables centimeter-level accuracy for objects within constrained areas, such as tabletops, demonstrating strong potential for smart manufacturing and inventory management. By combining signal processing innovation with real-world applicability, Zhao’s work is laying the groundwork for more responsive and autonomous environments. Their growing citation record reflects the community’s recognition of these practical, scalable solutions.