This area focuses on embedding lightweight artificial intelligence into distributed computing infrastructures to enable low-latency, privacy-preserving intelligence at the network edge. Research emphasizes edge computing, intelligent caching, and resource-efficient machine learning across adaptive sensor networks and IoT devices, creating smart, interconnected environments that enhance comfort, security, and efficiency while addressing the social and ethical implications of pervasive intelligent technologies.

成员

段凌杰

Professor

陈煌栒

Assistant Professor

苏宁馨

Assistant Professor

龙颜

Assistant Professor

项目

2023

广东省通感算交叉融合泛在物联网重点实验室

Firm: 广东省科技厅

Time: 2023 -

发表

RIStealth: Practical and Covert Physical-Layer Attack against WiFi-based Intrusion Detection via Reconfigurable Intelligent Surface

21st ACM Conference on Embedded Networked Sensor Systems (SenSys), Bahcesehir Univ, Istanbul, TURKEY, 10.1145/3625687.3625790 Zhou, Yuxuan; Li, Chenggao; Chen, Huangxun; Zhang, Qian

RimSense: Enabling Touch-based Interaction on Eyeglass Rim Using Piezoelectric Sensors

PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT, 7, 4, 10.1145/3631456 Xie, Wentao; Chen, Huangxun; Wei, Jing; Zhang, Jin; Zhang, Qian