Beyond Hospital Walls: Transforming Future Healthcare using Sensing and AI

Title: Beyond Hospital Walls: Transforming Future Healthcare using Sensing and AI

Abstract: 

Healthcare does not begin nor end in hospitals. With the deep convergence of cutting-edge sensing technologies and artificial intelligence, medicine is shifting from passive treatment to proactive protection, from within hospitals to everyday life. 

In this talk, I will introduce several novel sensing modalities—including acoustic sensing and imaging, mmWave imaging, and non-invasive glucose monitoring—that enable continuous, seamless, and intelligent health monitoring. I will also share our recent progress in multi-modality AI for sensing, which integrates diverse signals to create richer insights. Unlike prior alignment approaches limited by scarce paired data, our model leverages partial pairings across modalities to overcome data scarcity. 

Together, these advances open new possibilities for early diagnosis and chronic disease management to make healthcare more proactive, personalized, and accessible beyond hospital walls.  

Bio: Dr. Lili Qiu obtained her MS and PhD degrees in computer science from Cornell University. Her current research interests include wireless communication, wireless/wearable sensing, machine learning, systems, and healthcare. She worked at Microsoft Research Redmond as a researcher in the System & Networking Group from 2001-2004. She has been a Professor at the University of Texas at Austin in the Department of Computer Science since 2005. She has also been serving as an Assistant Managing Director at Microsoft Research Asia. Dr. Qiu is an IEEE Fellow, an ACM Fellow, a National Academy of Inventors (NAI) Fellow. She also served as the ACM SIGMOBILE chair, was named an ACM Distinguished Scientist and was a recipient of the NSF CAREER award, among a number of other honors.