付书彬

助理教授

sfu@eitech.edu.cn

背景介绍:

付书彬,博士,宁波东方理工大学助理教授、副研究员,博士生导师。曾任香港中文大学博士后和副研究员(合作导师Eric T Chung教授),威斯康星大学麦迪逊分校Van Vleck访问助理教授(合作导师陈南教授),2017年于Texas A&M大学取得博士学位(博士导师Yalchin Efendiev教授)。以第一作者或通讯作者身份,在SIAM Journal on Scientific Computing、SIAM Multiscale Modeling & Simulation、Computer Methods in Applied Mechanics and Engineering、Journal of Computational Physics、Geophysical Journal International 、Water Resources Research、Journal of Advances in Modeling Earth Systems等计算数学和地球科学领域权威期刊发表论文40余篇。


研究领域:

多尺度有限元方法的理论及其在计算流体力学,计算电磁学,拓扑优化等领域的应用,科学计算,高性能计算,深度学习。


教育背景:

2011-2017:博士(计算数学),Texas A&M大学数学系

2007-2011:学士(计算数学),四川大学数学学院


工作经历:

1/23-至今:宁波东方理工大学助理教授,副研究员,博士生导师。

7/22-12/22:香港中文大学副研究员(Research Associate)

3/20-7/22:威斯康星大学麦迪逊分校Van Vleck访问助理教授

7/18-2/20:香港中文大学博士后

1/18-6/18:香港中文大学助理研究员(Research Assistant)


代表性论著:

总体情况

46篇SCI论文,引用760次,H-index 15


Google Scholar:

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


10篇代表作 (*表示通讯作者)

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.