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.