phd-match.com — AI PhD Advisor Matching

Rainers MENG

Assistant Professor · CityUHK Scholars (Profiles) · City University of Hong Kong

Quick answer: Rainers MENG is Assistant Professor at City University of Hong Kong. Rainers MENG shows an active PhD hiring signal as of 2026-10-19.

⭐ I am currently recruiting highly-motivated PhD students and RA in our lab at CityU HK. We will be working on developing physics-informed machine learning (PIML) models and intelligent monitoring/control of manufacturing systems using deep learning. Students from engineering, physics or related fields are welcome to apply. If interested, please send your CV (including GPA and average scores), trans

Research interests

data-efficient learning, physics-informed machine learning, in-situ process monitoring and smart decision-making, manufacturing systems control and automation and 3D metrology

Selected publications (since 2023)

[2025] Meta-Learning-Based Domain Generalization for Cost-Effective Tool Condition Monitoring in Ultrasonic Metal Welding. Meng, Y., Dong, Z., Lu, K.-C., Li, S. & Shao, C., Jan 2025, In: IEEE Transactions on Industrial Informatics. 21, 1, p. 653-662. RGC 21 - Publication in refereed journal [2024] Federated domain generalization for condition monitoring in ultrasonic metal welding. Eslaminia, A., Meng, Y., Nahrstedt, K. & Shao, C., Dec 2024, In: Journal of Manufacturing Systems. 77, p. 1-12. RGC 21 - Publication in refereed journal [2023] Corrosion of Al-Fe self-pierce riveting joints with multiphysics-based modeling and experiments. Bansal, P., Zheng, Z., Pan, B., Meng, Y., Wen, W., Banu, M., Li, J., Carlson, B. E., Shao, C., Wang, P. & Li, Y., 9 Jun 2023, In: Journal of Manufacturing Pro

Frequently asked questions

Is Rainers MENG hiring PhD students at City University of Hong Kong?
Yes. As of 2026-10-19, Rainers MENG's faculty page shows a PhD hiring signal: I am currently recruiting highly-motivated PhD students and RA in our lab at CityU HK. We will be working on developing physics-informed machine learning (PIML) models and intelligent monitoring/contr.
What does Rainers MENG research?
data-efficient learning, physics-informed machine learning, in-situ process monitoring and smart decision-making, manufacturing systems control and automation and 3D metrology

Data last updated: 2026-10-19 · Source: phd-match.com faculty database.

Is Rainers MENG a match for your research?

Upload your CV and get matched to professors who fit — with hiring signals.

Start matching