• 2013-2018: Peking University, Computational Mathematics, Doctoral Degree (Full-time) Xu and Jun Hu
• 2009-2013: Sun Yat-sen University, Information and Computational Science, Bachelor of Science (Full-time)

Work Experience：

• 2026-Present: Shenzhen Loop Area Institute, Assistant Professor
• 2021-Present: School of Science and Engineering, CUHK-Shenzhen, Assistant Professor
• 2019-2021: Department of Mathematical Sciences, University of Bath, UK, Research Associate
• 2018-2019: Department of Mathematics, Pennsylvania State University, USA, Postdoctoral Scholar

Shihua Gong, PhD, is an Assistant Professor and Presidential Young Fellow at the School of Science and Engineering, the Chinese University of Hong Kong, Shenzhen, with a joint appointment at the Shenzhen Loop Area Institute. He received his BS from Sun Yat-sen University and his PhD in computational mathematics from Peking University, and previously worked as a postdoctoral scholar at Pennsylvania State University and a research associate at the University of Bath. His research focuses on numerical analysis, finite element methods, domain decomposition and multigrid, high-frequency wave propagation, and fluid-structure interaction. With collaborators he established the convergence theory of overlapping domain decomposition methods for the heterogeneous Helmholtz equation, with results in Math. Comp., Numer. Math., IMA J. Numer. Anal., and SIAM J. Sci. Comput. Cooperation and applications from outstanding postdocs and students are welcome.

Personal Academic Homepage : https://psywah.github.io （http://shihua-gong.org）
International Academic Platforms : GitHub https://github.com/Psywah

1. Galkowski J, Gong S, Graham I G, Lafontaine D, Spence E A. Convergence of overlapping domain decomposition methods with PML transmission conditions applied to nontrapping Helmholtz problems. arXiv:2404.02156, 2024.
2. Gong S, Graham I G, Spence E A. Domain decomposition preconditioners for high-order discretisations of the heterogeneous Helmholtz equation. IMA Journal of Numerical Analysis, 2021, 41(3): 2139-2185 (SCI, DOI: 10.1093/imanum/draa080)
3. Gong S, Wu S, Xu J. New hybridized mixed methods for linear elasticity and optimal multilevel solvers. Numerische Mathematik, 2019, 141: 569-604 (SCI, DOI: 10.1007/s00211-018-1001-3)
4. Gong S, Cai X-C. A nonlinear elimination preconditioned inexact Newton method for heterogeneous hyperelasticity. SIAM Journal on Scientific Computing, 2019, 41(5): S390-S408 (SCI, DOI: 10.1137/18M1194342)
5. Wu S, Gong S, Xu J. Interior penalty mixed finite element methods of any order in any dimension for linear elasticity with strongly symmetric stress tensor. Mathematical Models and Methods in Applied Sciences, 2017, 27(14): 2711-2743 (SCI, DOI: 10.1142/S0218202517500580)
6. Xin Q, Gong S*, Xu J. Sharp inf-sup estimate for the Stokes equation in tight domains with periodic pillars and some numerical implications. arXiv:2604.12643, 2026 (Corresponding Author)
7. Shen L, Zhang Y, Chen Y, Ding X, Wen P, Wang C, Sun P, Gong S*, Xu J, et al. A high-fidelity 3D fluid-structure interaction framework for predictive microfluidic design. bioRxiv, 2026.04.28.721227, 2026.
8. Xin Q, Gong S*, Shen L, Wen P, Zhang Y, Chen Y, Han J, Xu J. High-order DLM-ALE discretizations with robust operator preconditioning for fluid-rigid-body interaction. arXiv:2602.01094, 2026.(Corresponding Author)
9. Xie Y, Gong S*, Graham I G, Spence E A, Zhang C-s. Massively parallel Schwarz methods for the high-frequency Helmholtz equation. Proc. 29th Domain Decomposition Conference, 2026.(Corresponding Author)

Research Awards：

1. 2025-2026: Presidential Young Fellow, Talent Program of High-Level University, CUHK-Shenzhen
2. 2024-2026: Pearl River Young Talent, Guangdong Provincial Talent Programme