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