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.
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.