Towards Practical Sensing with Internet of Things Sensors

PhD Thesis Proposal Defence


Title: "Towards Practical Sensing with Internet of Things Sensors"

by

Mr. Yuxuan ZHOU


Abstract:

The Intelligence of Things (IoT) is becoming increasingly important in daily 
life, enabling applications from smart homes to healthcare monitoring 
through new sensing technologies. Despite remarkable capabilities and 
promising prospects, three significant challenges hinder broader 
implementation: (i) the open nature of some sensing modalities raises 
security concerns; (ii) performance degradation due to domain shifting 
limits systems' effectiveness across varying environments; and (iii) a lack 
of inclusive systems restricts accessibility for diverse user groups. This 
proposal addresses these challenges through four innovative research 
initiatives. The first and second attempts enhances security protocols for 
IoT sensing systems to mitigate vulnerabilities. The third explores a 
metasurface-assisted mmWave imaging system to maintain high-resolution 
despite domain shifts. Finally, the fourth introduces a cognitive assessment 
system using engaging video stimuli and easy-to-wear devices, making 
evaluations effortless and cost-effective. Collectively, these efforts aim 
to advance the practicality and impact of IoT sensing systems in society.


Date:                   Wednesday, 23 April 2025

Time:                   9:30am - 11:30am

Venue:                  Room 4472
                        Lifts 25/26

Committee Members:      Prof. Qian Zhang (Supervisor)
                        Prof. Mo Li (Chairperson)
                        Dr. Xiaomin Ouyang