Professor
Department of Computer Science
The University of Texas at Austin
2317 Speedway, Stop D9500
Austin, TX 78712-1757
Office: GDC 6.806, Email: lili AT cs.utexas.edu
Phone: 512-232-7890, Fax: 512-471-8885
|
|
Lili Qiu Professor Department of Computer Science The University of Texas at Austin 2317 Speedway, Stop D9500 Austin, TX 78712-1757 Office: GDC 6.806, Email: lili AT cs.utexas.edu Phone: 512-232-7890, Fax: 512-471-8885 |
Lili Qiu is a Professor in the Computer Science Department at the University of Texas at Austin, and a member of the Wireless Networking and Communications Group. I received my Ph.D. in Computer Science from Cornell University in 2001. I spent 2001–2004 as a researcher at Microsoft Research, Redmond, and joined UT Austin in January 2005. In 2022-2025, she was an Assistant Managing Director at Microsoft Research Asia, leading high-impact cross-disciplinary research in wireless communication, sensing, AI systems, and precision healthcare, and broadening collaborations across academia and industry with a strong focus on translational innovation across both digital and physical worlds.
She is a National Academy of Inventors (NAI) Fellow, ACM Fellow, IEEE Fellow, and ACM Distinguished Scientist. She received an NSF CAREER Award and a Google Faculty Research Award, as well as Best Paper Awards at ACM MobiSys'18, IEEE ICNP'17, CCR'25, AAAI'26, Best Paper Runner-Ups at MobiSys'17 and MobiCom'11, Best Artifact Runner-Up at MobiSys'25. She was also recognized as N2Women: Stars in Computer Networking and Communications in 2017. She has served the community as Chair, Vice Chair, and Treasurer for SIGMOBILE; General Co-Chair for ACM MobiCom 2025, IEEE ICNP 2012, and WICON 2007; and TPC Co-Chair for ACM CoNEXT 2023, IEEE ICNP 2016, ACM MobiCom 2012, IEEE SECON 2011, and WICON 2006.
Lili's current focus is to advance impactful research in sensing, communication, ML systems, and healthcare. In particular, she focuses on building reliable world models: AI systems that can reason about, interact with, and be trusted in the physical and human world. She develops methods that transform foundation models into structure-aware reasoning systems, including language-centric multimodal representation, reasoning-based validation of generated content, and proactive reward design for autonomous agents. A defining theme of her work is grounding intelligence in reality, achieved by tightly integrating learning algorithms, efficient systems, and novel sensing substrates such as wireless and wearable devices. This enables AI systems to model not only physical dynamics, but also human state, intent, and contextual constraints, with applications spanning healthcare, accessibility, and other real-world domains. By combining first-principles reasoning, system-level efficiency, and end-to-end prototypes deployed at scale, her research aims to make AI models actionable, reliable and beneficial in complex real environments. She is grateful for the opportunity to mentor outstanding students, and welcomes to reach out if you are interested in working together as students, postdocs, or research interns.
邱锂力博士研究方向包括无线通信、无线和可穿戴感知、机器学习及系统、医疗健康。邱博士在美国康奈尔大学先后获得计算机硕士及博士学位。她曾在2001-2004年任微软雷德蒙研究院系统和网络组研究员。2005年，她加入美国得克萨斯大学奥斯汀分校（UT Austin）任计算机系助理教授和博士生导师，之后晋升为终身正教授。2022-2025她在微软亚洲研究院当副院长。邱锂力博士是IEEE Fellow、ACM Fellow 和NAI Fellow。同时，她曾担任国际计算机学会无线及移动系统专委（ACM SIGMOBILE）的主席。邱锂力博士曾获得ACM杰出科学家（ACM Distinguished Scientist）、Google Faculty Award, 美国国家科学基金会杰出青年学者奖（NSF CAREER award）等多项荣誉。