I am 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.
I received my BS from Sun Yat-sen University and PhD in Computational Mathematics from Peking University. Before joining CUHK-Shenzhen, I was a postdoctoral scholar at Pennsylvania State University and a research associate at the University of Bath.
With collaborators, I established the convergence theory of overlapping domain decomposition methods for the heterogeneous Helmholtz equation at high frequency. In recent years, we are working on fast solvers for fluid-interaction problems in tight domains with periodic pillars.
We have opening positions for self-motivated postdoc and PhD students.
PhD in Computational Mathematics, 2018
Peking University
BS in Information and Computational Science, 2013
Sun Yat-sen University
Two themes drive the work in our group, combining rigorous numerical analysis with scalable software and industrial applications.
Heterogeneous Helmholtz scattering
Domain decomposition preconditioners for Helmholtz and Maxwell equations. With collaborators we established the first wavenumber-explicit convergence theory for RAS with impedance and PML transmission conditions, and built massively parallel solvers tested at industrial scale.
Representative work: Math. Comp. 2023 · Numer. Math. 2022 · IMA J. Numer. Anal. 2021 · PML 2024
DLD microfluidic simulation
Robust finite element solvers for the Stokes equation in tight domains with periodic pillars, combining sharp inf–sup analysis with scalable preconditioning and high-order ALE discretizations. Driven by industrial applications including microfluidic chip design (DLD particle separation, predictive 3D microfluidic frameworks).
Representative work: Stokes inf-sup 2026 · Localized ALE 2026 · DLM-ALE 2026
Upcoming
Recent
Now hiring. Strong applicants will receive prompt replies.
Open positions in numerical analysis, large-scale scientific computing, and AI for CAE. Topics include finite element methods, linear/nonlinear preconditioning, high-frequency wave scattering, fluid–structure interaction, and AI-accelerated solvers for industrial simulation. Competitive package with provincial and university subsidies; eligible to apply for grants as PI.
I am also recruiting motivated PhD students (admission via CUHK-Shenzhen, fall 2026) and welcoming visiting scholars / students in numerical PDEs, domain decomposition, finite element methods, and scientific machine learning.
Email your CV, transcripts, and a short research statement to gongshihua@cuhk.edu.cn.
Members and alumni of the research group at SSE, CUHK-Shenzhen.
Looking to join? See the Openings section above.
Active and recent grants, plus industry collaborations.
Courses taught at SSE, CUHK-Shenzhen, and earlier teaching.
★ marks a first offering.
Reverse chronological. * denotes corresponding author. Google Scholar.
* denotes corresponding author. See Google Scholar for citations and the CV for the full record.
Selected plenary, invited, and seminar talks since 2017. Full list in the CV.