Jia Li is a Chinese-American statistician and computer scientist known for her research on image retrieval. She is a professor of statistics and of computer science at Pennsylvania State University.[1]
Education and career
[edit]Li studied information and control engineering at Xi'an Jiaotong University, graduating with a bachelor's degree in 1993. She went to Stanford University for graduate study, earning master's degrees in electrical engineering and statistics in 1995 and 1998 respectively, and completing a Ph.D. in electrical engineering in 1999.[1] Her dissertation, Image Classification and Compression Based on a Two-Dimensional Multiresolution Hidden Markov Model, was supervised by Robert M. Gray.[2]
She joined Penn State after a year of postdoctoral research at the Xerox Palo Alto Research Center. She worked at the National Science Foundation as a program director from 2011 to 2013, and has been editor-in-chief of the journal Statistical Analysis and Data Mining from 2018 to 2020.[1]
Recognition
[edit]Li became a Fellow of the American Statistical Association in 2019.[3] She was named as a 2023 IEEE Fellow, "for leadership in large-scale AI".[4]
References
[edit]- ^ a b c "Jia Li", People, Penn State Department of Statistics, retrieved 2023-12-02
- ^ Jia Li at the Mathematics Genealogy Project
- ^ ASA Fellows, American Statistical Association, retrieved 2023-12-02
- ^ IEEE Computer Society Announces 2023 Class of Fellows, IEEE Computer Society, 9 December 2022, retrieved 2023-12-02
External links
[edit]- Home page
- Jia Li publications indexed by Google Scholar
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