Xin Liu (computer scientist)
Xin Liu is a Chinese-American computer scientist whose research involves computer networks and the applications of machine learning to complex systems. She is a professor of computer science at the University of California, Davis.[1]
Education and career
[edit]Liu earned a bachelor's degree in electrical engineering from Xi'an Jiaotong University (XJTU) in 1994, and continued at XJTU for a master's degree in electrical engineering, advised jointly by Shihua Zhu and Xixing Zhu, in 1997. Her master's research concerned autofocus.[2] She completed a Ph.D. in electrical and computer engineering at Purdue University in 2002, with the dissertation Opportunistic Scheduling in Wireless Communication Networks, jointly supervised by Ness Shroff and Edwin K. P. Chong.[2][3]
After postdoctoral research with Rayadurgam Srikant at the Coordinated Science Laboratory of the University of Illinois Urbana-Champaign (UIUC), she became an assistant professor at UIUC in 2002. She took her present position at the University of California, Davis in 2003.[2]
Recognition
[edit]Liu was named an IEEE Fellow in 2019, "for contributions to the design of cross-layer resource allocation algorithms for cellular and cognitive radio networks".[4]
References
[edit]- ^ Szeto, Leon (March 7, 2022), Faculty Spotlight: Xin Liu, UC Davis Engineering, retrieved 2024-10-08
- ^ a b c Biography: Professor Xin Liu, UC Davis Computer Science, retrieved 2024-10-08
- ^ Xin Liu at the Mathematics Genealogy Project
- ^ IEEE Fellows Directory, IEEE, retrieved 2024-10-08
External links
[edit]- Home page
- Xin Liu publications indexed by Google Scholar
