Siting Liu

Department of mathematics,

University of California, Riverside

Office: MRB 3114Email: sitingl@ucr.edu

I am currently an Assistant Professor at UCR Math Department.

I completed my PhD in UCLA, Department of mathematics, advised by Professor Stanley J. Osher. My resume can be found here.

My research interests center around utilizing mathematical modeling and computational techniques to address challenges spanning a range of disciplines, such as epidemiology, optimization, data science, machine learning, mean-field games, optimal control, partial differential equations, and related areas.

I am co-organizing the PDE & Applied Mathematics seminar and One World Mathematics of INformation, Data, and Signals (1W-MINDS) Seminar. Please let me know if you are interested in attending or giving a talk!

Education:

Ph.D. Mathematics, University of California, Los Angeles (Sep 2017 ~ June 2022)

M.A. Mathematics, University of Wisconsin-Madison (Sep 2015 ~ May 2017)

B.S. Mathematics & Applied Mathematics, Shanghai Jiao Tong University (Sep 2012 ~ July 2016)

Math Honored Class, Zhiyuan College

Selected Publications: [google scholar]

Liu Yang, Siting Liu, Tingwei Meng, and Stanley J. Osher, In-context operator learning with data prompts for differential equation problems [paper]
Siting Liu, Stanley Osher, Wuchen Li, and Chi-Wang Shu, A primal-dual approach for solving conservation laws with implicit in time approximations [paper]
Yat Tin Chow, Samy Wu Fung, Siting Liu, Levon Nurbekyan, and Stanley Osher, A numerical algorithm for inverse problem from partial boundary measurement arising from mean field game problem [paper]
Siting Liu and Levon Nurbekyan, Splitting Methods for a Class of Non-Potential Mean Field Games [paper]
Wonjun Lee, Siting Liu, Hamidou Tembine, Wuchen Li, and Stanley Osher Controlling Propagation of epidemics via mean-field games [paper]
Siting Liu, Matthew Jacobs, Wuchen Li, Levon Nurbekyan, and Stanley Osher, Computational Methods for Nonlocal Mean Field Games with Applications [paper]