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 20 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, 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:

2023-Present: Assistant Professor, Eastern Institute of Technology, Ningbo

2022-2022: Research Associate, the Chinese University of Hong Kong

2020-2022: Van Vleck visiting assistant professor, UW-Madison

2018-2020: Postdoctoral fellow, The Chinese University of Hong Kong

2018-2018: Research assistant, The Chinese University of Hong Kong

Representative Works:

General Information

34 SCI papers; 480 citations, H-index 12

Google Scholar:

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

10 Representative Works (* refers to the corresponding author)

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Shubin Fu, Guanglian Li, Richard Craster and Sebastien Guenneau. Wavelet-based Edge Multiscale Finite Element Method for Helmholtz problems in perforated domains. SIAM Multiscale Modeling & Simulation 19(4), (2021): 1684-1709.

• Shubin Fu, Eric Chung and Tina Mai. Constraint energy minimizing generalized multiscale finite element method for nonlinear poroelasticity and elasticity. Journal of Computational Physics 417 (2020):109569.

• Shubin Fu, Eric Chung and Guanglian Li. Edge Multiscale Methods for elliptic problems with heterogeneous coefficients. Journal of Computational Physics 396 (2019): 228-242.

• Shubin Fu and Kai Gao. A fast solver for the Helmholtz equation based on the generalized multiscale finite-element method. Geophysical Journal International 211, no. 2 (2017): 819-835.