计算机学院系列讲座名家讲坛第 26期——Empowering Healthcare with Sensing and AI
报告题目(Title):Empowering Healthcare with Sensing and AI
时间(Date & Time):2025.7.9; 9:00
腾讯会议:887-806-406
主讲人(Speaker):邱锂力(Lili Qiu)
邀请人(Host):张大庆(Daqing Zhang)
报告摘要(Abstract):
The convergence of advanced sensing technologies and artificial intelligence offers unprecedented opportunities to transform healthcare. In this talk, I will present a multidisciplinary approach that leverages novel sensing modalities—including acoustic sensing, acoustic imaging, mmWave imaging, and non-invasive glucose monitoring—to enable continuous, non-intrusive, and intelligent health monitoring. I will also share recent progress in using large language models (LLMs) for personalized cognitive training and support, as well as AI-driven innovations in medical imaging. Together, these technologies open new frontiers for early diagnosis, chronic disease management, and mental well-being. This talk highlights both the technical advances and the potential impact of integrating sensing and AI to create more accessible, proactive, and human-centered healthcare systems.
主讲人简介(Bio):

Dr. Lili Qiu is an Assistant Managing Director of Microsoft Research Asia and is mainly responsible for overseeing the research, as well as the collaboration with industries, universities, and research institutes, at Microsoft Research Asia – Shanghai.
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. In 2005, she joined the University of Texas at Austin as an assistant professor in the Department of Computer Science, and later, in view of her outstanding achievements, she was promoted to a tenured professor.
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 many other honors.

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