Mengze WANG
Assistant Professor · CityUHK Scholars (Profiles) · City University of Hong Kong
Quick answer: Mengze WANG is Assistant Professor at City University of Hong Kong. Mengze WANG shows an active PhD hiring signal as of 2026-10-19.
⭐ Accepting PhD Students. We always welcome applications for PhD, Research Assistant, Postdoctoral Research Fellow, and Visiting Scholar positions. Candidates with backgrounds in mechanics, aerospace engineering, applied math, machine learning, and relevant fields are particularly encouraged to apply. Feel free to send your CV to [email protected] if you are interested.
Research interests
Data assimilation & Nonlinear optimization; Transitional and turbulent flows; Machine learning with limited data; Extreme events in complex engineering systems
Selected publications (since 2023)
[2025] Analysis of inertial-range intermittency in forward and inverse cascade regions in isotropic turbulence
Yao, H., Schnaubelt, M., Lubonja, A., Medvedev, D., Hao, Y., Wang, M., Lemson, G., Burns, R., Szalay, A. S., Yeung, P. K., Eyink, G., Zaki, T. A. & Meneveau, C., 2025, In: Journal of Turbulence. 26, 8-9, p. 273-291 19 p.
[2025] Data assimilation and flow estimation
Zaki, T. A. & Wang, M., 6 Jun 2025, Data Driven Analysis and Modeling of Turbulent Flows. Duraisamy, K. (ed.). Academic Press, p. 129-181 (Computation and Analysis of Turbulent Flows).
[2025] Variational data assimilation in wall turbulence: From outer observations to wall stress and pressure
Wang, M. & Zaki, T. A., 10 Apr 2025, In: Journal of Fluid Mechanics. 1008, A26.
[2023] State estimation in minimal turbulent chan
Frequently asked questions
Is Mengze WANG hiring PhD students at City University of Hong Kong?
Yes. As of 2026-10-19, Mengze WANG's faculty page shows a PhD hiring signal: Accepting PhD Students. We always welcome applications for PhD, Research Assistant, Postdoctoral Research Fellow, and Visiting Scholar positions. Candidates with backgrounds in mechanics, aerospace en.
What does Mengze WANG research?
Data assimilation & Nonlinear optimization; Transitional and turbulent flows; Machine learning with limited data; Extreme events in complex engineering systems
Data last updated: 2026-10-19 · Source: phd-match.com faculty database.
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