Biography

Dr. Ziyang Huang joined the School of Marine Science and Engineering at South China University of Technology in February 2026 as a Professor and a recipient of the National Excellent Young Scientists Fund Program. Prior to this, he was a tenure-track Assistant Professor in the Department of Mechanical Engineering at the University of Alabama (one of the R1 institutions; the highest rating of research activity in USA universities), where he was named 2025 Hewson Engineering Faculty Fellow (11 faculty awardees university-wide); a Visiting Scholar of Center for Turbulence Research at Stanford University; and a Research Fellow in the Department of Mechanical Engineering at the University of Michigan-Ann Arbor. He obtained his Ph.D. in Mechanical Engineering from Purdue University, where he was the recipient of the Lynn Fellowship.

Dr. Ziyang Huang's research advances the border of computational fluid dynamics for complex flows with multiphase, multimaterial, and multiphysics coupling by developing novel numerical theories, methods, and software. His research enables high-fidelity numerical simulations and physics-constrained AI to foster a deeper understanding of complex multiphase physics in both natural and industrial systems, such as ocean environments, sustainable energy, marine devices, bioengineering, and advanced manufacturing. More information is available on ORCID: https://orcid.org/0000-0001-6422-225X.

Research Interests

• Multiphase fluid dynamics

• Multiphase heat and mass transfer and phase changes

• Multiphase fluid-structure interactions

• Computational theory and method for multiphase flow

• High-resolution software for multiphase flow

• Multiphase flow with AI

Education and Work Experience

• 2016.08 - 2021.08, Doctor of Philosophy in Mechanical Engineering, Purdue University, West Lafayette, USA (recipient of the Lynn Fellowship)

• 2014.09 - 2016.06, Master of Engineering in Mechanical Manufacture and Automation, South China University of Technology，Guangzhou，China

• 2010.09 - 2014.07, Bachelor of Engineering in Mechanical Engineering and Automation, South China University of Technology, Guangzhou, China

• 2026.02 - Present, Professor, School of Marine Science and Engineering, South China University of Technology, Guangzhou, China

• 2024.08 - 2026.01, Assistant Professor (Tenure-Track), 2025 Hewson Engineering Faculty Fellow, Department of Mechanical Engineering, College of Engineering, The University of Alabama (one of the R1 institutions; the highest rating of research activity in USA universities), Tuscaloosa, USA

• 2024.06 - 2024.07, Visiting Scholar, Center for Turbulence Research, Stanford University, Stanford, USA

• 2021.07 - 2024.08, Research Fellow, Department of Mechanical Engineering, College of Engineering, The University of Michigan, Ann Arbor, USA

Opening

Our research is highly interdisciplinary, drawing from marine engineering, mechanical engineering, fluid dynamics, applied mathematics, computer science, artificial intelligence, and data visualization. If you have related backgrounds and find our research interesting, you are encouraged to contact Prof. Ziyang Huang via email (ziyanghuang@scut.edu.cn). In the email, please use “Position-Name” as the title, attach your CV, and include a brief description of your research experience and interest.

• Postdoc: Multiple openings for applicants with the relevant background. The highest possible annual salary is 570K RMB, superimposing year-end bonus and research achievement awards, 200K RMB research fund, and standard university benefit including social insurance and on-campus housing (https://mp.weixin.qq.com/s/PbOxURQhTcbXdEd7VlAbCw).  Choosing to stay in Guangdong Province to work after the postdoc training will be eligible to apply for 200 to 500K RMB housing allowance (based on the local policy).

• Ph.D.: Multiple openings for applicants with the relevant background and research interest. Sufficient English communication and writing skills as well as basic programming ability are required.

• Master’s: Multiple openings for applicants with the relevant background and/or research interest.

• Research Assistant: Multiple openings for applicants having bachelor’s or master’s degree in the relevant background. Experience in C++ and Linux is preferred. The salary and benefit will be based on the policy of the university. The position can start immediately after passing the interview.

• Undergraduate: The university has multiple opportunities for undergraduate research. Feel free to reach out and discuss.

Research Achievement

Dr. Ziyang Huang, a recipient of the National Excellent Young Scientists Fund Program, originally developed the consistent and conservative Phase-Field method to accurately predict both low-speed incompressible and high-speed compressible multiphase flows with arbitrary density ratios, heat/mass transfer, phase changes, surface tensions, contact lines, and shock waves. He has more than 20 publications in world-renowned SCI journals in computational fluid dynamics, such as Journal of Computational Physics. He serves as a reviewer for top journals about fluid dynamics, including Journal of Computational Physics and Journal of Fluid Mechanics. He was invited to present his research at multiple top-tier universities like Stanford and Clemson, and to serve as a session organizer and chair at international academic conferences.

1. Z. Huang, W.J. White and E. Johnsen, Consistent and conservative Phase-Field method for compressible two- and N-phase flows with adaptivemesh refinement, Journal of Computational Physics, 548 (2026): 114569.

2. Z. Huang and E. Johnsen, Bound preservation for the consistent and conservative Phase-Field method for compressible single-, two-, and N-phaseflows, Journal of Computational Physics,526 (2025): 113783.

3. W.J. White, Z. Huang and E. Johnsen, A high-order discontinuous Galerkin method for compressible interfacial flows with consistent and conservative Phase Fields, Journal ofComputational Physics, 527 (2025): 113830.

4. Z. Huang and E. Johnsen, A consistent and conservative Phase-Field method for compressible N-phase flows: Consistent Limiter and Multiphase Reduction-Consistent Formulation, Journal of Computational Physics, 501 (2024): 112801.

5. H. Zheng, Y. Huang, Z. Huang, W. Hao, G.Lin, HomPINNs: homotopy physics-informedneural networks for solving the inverse problems of nonlinear differential equations with multiple solutions, Journal of Computational Physics 500 (2024): 112751.

6. Z. Huang and E. Johnsen, A consistent and conservative Phase-Field method for compressible multiphase flows with shocks, Journal of Computational Physics 488 (2023): 112195.

7. Z. Huang, G. Lin, A.M. Ardekani, Implementing contact angle boundary conditions for second-order Phase-Field models of wall-bounded multiphase flows, Journal of Computational Physics 471 (2022): 111619.

8. H. Zheng, Z. Huang, G. Lin, Aphysics-constrained neural network for multiphase flows,Physics of Fluids 34 (2022): 102102. (Featuredon Physics of Fluids)

9. Z. Huang, G. Lin, A.M. Ardekani, A consistent and conservative Phase-Field method for multiphase incompressible flows, Journal of Computational and Applied Mathematics408(2022): 114116.

10. Z. Huang, G. Lin, A.M. Ardekani, A consistent and conservative Phase-Field model for thermo-gas-liquid-solid flows including liquid-solid phase change, Journal of Computational Physics 449 (2022): 110795

11. Z. Huang, G. Lin, A.M. Ardekani, A consistent and conservative volume distribution algorithm and its applications to multiphase flows using Phase-Field models, International Journal of Multiphase Flow142 (2021): 103727. (Featuredon Advances in Engineering: A physics-preserving tool for multiphase flow modeling: A consistent and conservative volume distribution algorithm)

12. Z. Huang, G. Lin, A.M. Ardekani, A consistent and conservative model and its scheme for N-phase-M-componentin compressible flows, Journal of Computational Physics 434(2021):110229.

13. Z. Huang, G. Lin, A.M. Ardekani, Consistent andconservative scheme for incompressible two-phase flows using the conservative Allen-Cahn model, Journal of Computational Physics420 (2020): 109718.

14. Z.Huang, G. Lin, A.M. Ardekani,Consistent, essentially conservative and balanced-force Phase-Field method to model incompressible two-phase flows, Journal of Computational Physics406 (2020): 109192.

15. Z.Huang, G. Lin, A.M. Ardekani, Amixed upwind/central WENO scheme for incompressible two-phase flows, Journalof Computational Physics 387 (2019): 455-480.

• Member of international academic societies

  - American Physical Society

  - U.S. Association of Computational Mechanics

• Organizer of international academic conferences

  -18th U.S. National Congress on Computational Mechanics (USNCCM18) – MS 702: Numerical Methods and Models for Compressible Multiphase Flows

• Session Chair of international academic conferences

  -The78th Annual Meeting of the APS Division of Fluid Dynamics 2025 (APSDFD 2025) – Multiphase Flows: Computational Methods II

  -The 11th International Symposium on Cavitation (CAV2021) – T02: Bubble Dynamics and Bubbly Flows

• Reviewer of academic journals

  -Journal of Computational Physics

  -Computer Methods in Applied Mechanics and Engineering

  -Journal of Fluid Mechanics

  -Physical Review Fluids

  -Physics of Fluids

  -Computers & Fluids

  -International Journal of Multiphase Flow

  -Communications in Nonlinear Science and Numerical Simulation

  -SIAM Multiscale Modeling Simulation