Towards Reliable and Accessible Sensing with Internet of Things Sensors

The Hong Kong University of Science and Technology
Department of Computer Science and Engineering


PhD Thesis Defence


Title: "Towards Reliable and Accessible Sensing with Internet of Things 
Sensors"

By

Mr. Yuxuan ZHOU


Abstract:

The Internet of Things (IoT) is increasingly integral to daily life, 
facilitating applications ranging from smart homes to healthcare monitoring 
through advanced sensing technologies. Despite its remarkable capabilities 
and promising potential, three key challenges impede broader implementation: 
(i) the open nature of certain sensing modalities raises security concerns; 
(ii) performance degradation due to domain shifts limits the effectiveness of 
systems across diverse environments; and (iii) a lack of inclusive designs 
restricts accessibility for various user groups. This proposal addresses 
these challenges through four innovative research initiatives. The first two 
initiatives focus on enhancing security protocols for IoT sensing systems to 
mitigate vulnerabilities. The third initiative explores a 
metasurface-assisted millimeter-wave imaging system that maintains high 
resolution despite domain shifts. The fourth introduces a cognitive 
assessment system that employs engaging video stimuli and easy-to-wear 
devices, facilitating effortless and cost-effective evaluations. Lastly, the 
fifth initiative presents a robust drone detection system designed to operate 
effectively in Integrated Sensing and Communication (ISAC) scenarios, even 
under conditions of low signal quality and sampling rates. Collectively, 
these efforts aim to enhance the practicality and societal impact of IoT 
sensing systems.


Date:                   Thursday, 14 August 2025

Time:                   2:00pm - 4:00pm

Venue:                  Room 5504
                        Lifts 25/26

Chairman:               Prof. Yongchang ZHU (MATH)

Committee Members:      Prof. Qian ZHANG (Supervisor)
                        Dr. Hao CHEN
                        Prof. Kai CHEN
                        Dr. Shenghui SONG (ISD)
                        Dr. Edith Cheuk Han NGAI (HKU)