Towards Intelligent Communication and Sensing Systems With Wireless Understanding

PhD Thesis Proposal Defense


Title: "Towards Intelligent Communication and Sensing Systems With Wireless 
Understanding"

by

Mr. Qingyong HU


Abstract:

Wireless signals form the backbone of modern communication and sensing 
systems, and recent advances driven by artificial intelligence (AI) have 
revolutionized applications ranging from 5G networks to smart healthcare. 
However, the development of intelligent wireless systems is hindered by three 
key challenges: (i) the gap between AI models and the unique spectral and 
hardware constraints of wireless systems, (ii) the difficulty of uncovering 
fine-grained features from complex signal variations, and (iii) the inherent 
instability across diverse domains. This thesis investigates these challenges 
and proposes four research attempts. The first two attempts develop 
spatial-temporal models that incorporate the unique spectral leakage 
characteristics of wireless signals as priors. The third attempt designs a 
hybrid AI pipeline and maps the complex signal distortions into blood 
pressure variations for contactless healthcare monitoring. The final 
contribution enhances the robustness of sensing applications by introducing a 
contrastive adaptation training scheme and leveraging complementary synergy 
from multiple modalities.


Date:                   Tuesday, 25 March 2025

Time:                   1:30pm - 3:30pm

Venue:                  Room 3520
                        Lifts 25/26

Committee Members:      Prof. Qian Zhang (Supervisor)
                        Prof. Gary Chan (Chairperson)
                        Dr. Xiaomin Ouyang