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Xin Liu (computer scientist)

From Wikipedia, the free encyclopedia

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

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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

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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

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  1. ^ Szeto, Leon (March 7, 2022), Faculty Spotlight: Xin Liu, UC Davis Engineering, retrieved 2024-10-08
  2. ^ a b c Biography: Professor Xin Liu, UC Davis Computer Science, retrieved 2024-10-08
  3. ^ Xin Liu at the Mathematics Genealogy Project
  4. ^ IEEE Fellows Directory, IEEE, retrieved 2024-10-08
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