Shubin Fu

Assistant Professor

sfu@eitech.edu.cn

Background Information: 

Dr. Shubin Fu is an assistant professor at Eastern Institute of Technology, Ningbo. He received his B.S. from Sichuan University and Ph.D. from Texas A&M University. His thesis advisor is Prof. Yalchin Efendiev. Before he come to EIAS, he was a postdoc at The Chinese University of Hong Kong working with Prof Eric Chung and a visiting assistant professor at UW-Madison working with Prof Nan Chen. He has published more than 40 papers in journals such as SIAM Multiscale Modeling & Simulation、Computer Methods in Applied Mechanics and Engineering、Journal of Computational Physics、Communications in Computational Physics、Geophysical Journal International 、Water Resources Research、Journal of Advances in Modeling Earth Systems.


Download complete CV here.


Research Field:

Multiscale Model Reduction with applications in Physics, Geophysics, Computational Mechanics, Computational Electromagnetics, Hydrology and Petroleum Engineering, Scientific Computing, High Performance Computing Deep Learning.


Educational Background:

2011-2017:Ph.D. (majoring in Computational Mathematics) ,Department of Mathematics, Texas A&M University

2007-2011:B.S. (majoring in Computational Mathematics) ,College of Mathematics, Sichuan University


Work Experience:

1/23-Present:Assistant Professor, Eastern Institute of Technology, Ningbo.

7/22-12/22:Research Associate, the Chinese University of Hong Kong

3/20-7/22: Van Vleck Visiting Assistant Professor, UW-Madison

7/18-2/20:Postdoctoral Fellow, The Chinese University of Hong Kong

1/18-6/18:Research Assistant, The Chinese University of Hong Kong


Representative Works:

General Information

46 SCI papers 760 citations,H-index 15


Google Scholar:

https://scholar.google.com/citations?user=jYMDRYEAAAAJ&hl=en&oi=ao


1. Changqing Ye, Shubin Fu*, Eric Chung and Jizu Huang. A highly parallelized multiscale preconditioner for Darcy flow in high-contrast media. Journal of Computational Physics 522 (2025): 113603.

2. Changqing Ye, Shubin Fu*, Eric Chung and Jizu Huang. A robust two-level overlapping preconditioner for Darcy flow in high-contrast media. SIAM Journal on Scientific Computing 46(5), (2024): 3151-3176.

3. Shubin Fu, Eric Chung and Lina Zhao. An efficient multiscale preconditioner for large-scale highly heterogeneous flow. SIAM Journal on Scientific Computing 46(2), (2024): S352-S377.

4. Yiran Wang, Eric Chung, and Shubin Fu*. A locally conservative multiscale method for stochastic highly heterogeneous flow. Computer Methods in Applied Mechanics and Engineering 410 (2023):116020.

5. Zhongqian Wang,  Shubin Fu* and Eric Chung. Local multiscale model reduction using discontinuous Galerkin coupling for elasticity problems.  Computer Methods in Applied Mechanics and Engineering 403 (2023):115713.

6. Shubin Fu, Eric  Chung and Lina Zhao. Generalized multiscale finite element method for highly heterogeneous  compressible flow. SIAM Multiscale Modeling & Simulation 20(4), (2022): 1437-1467.

7. Yiran Wang, Eric Chung and Shubin Fu*. A deep learning based reduced order modeling for stochastic underground flow problems. Journal of  Computational Physics 467(2022): 111449.

8. Yiran Wang, Eric Chung and Shubin Fu*. A local-global generalized multiscale finite element method for highly heterogeneous stochastic groundwater flow problems.   Computer Methods in Applied Mechanics and Engineering 392 (2022):114688.

9. Shubin Fu, Eric Chung  and Guanglian Li. An Edge Multiscale Interior Penalty Discontinuous Galerkin method for heterogeneous Helmholtz problems with large varying wavenumber. Journal of  Computational Physics 441 (2021): 110387.

10. Yiran Wang, Eric Chung, Shubin Fu* and Zhaoqin Huang. A comparison of mixed multiscale finite element methods for multiphase transport in highly heterogeneous media.  Water Resources Research 57 (5): e2020WR028877.