Low Ying Min

Dr Low Ying Min is an Associate Professor in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS). His research area is in offshore engineering, with a particular focus on stochastic dynamic analysis and reliability analysis.

He is currently the Editor-in-Chief for ASME Journal of Offshore Mechanics and Arctic Engineering, and is a member of the editorial board for the journals, Marine Structures and Ocean Engineering. He serves in the technical committee of the annual OMAE conference, and was the Technical co-chair of OMAE2024 held in Singapore.

In NUS, he is the Director (Research) at the Coastal Protection and Flood Resilience Institute (CFI) Singapore, Associate Head (Graduate Research) for the department, Deputy Director for the Centre for Offshore Research and Engineering (CORE), and Director for the Ocean Infrastructures and Renewables Cluster.

• 2018 – Present: Associate Professor, National University of Singapore
• 2014 – 2018: Assistant Professor, National University of Singapore
• 2007 – 2013: Assistant Professor, Nanyang Technological University
• 2002 – 2003: Senior Engineer, Keppel FELS Ltd
• 2000 – 2002: Research Engineer, Institute of High Performance Computing

• PhD, University of Cambridge, 2007
• MEng (with first class honours), Imperial College, London, 2000

• 2026 – present Editor-in-Chief, Journal of Offshore Mechanics and Arctic Engineering
• 2019 – 2025 Associate Editor, Journal of Offshore Mechanics and Arctic Engineering
• 2017 – present Editorial board member, Ocean Engineering
• 2015 – present Editorial board member, Marine Structures
• 2024 – Technical Co-Chair of International Conference on Ocean, Offshore and Arctic Engineering (OMAE)
• 2011 – present Organizing committee, annual OMAE conference, “Structures, Safety and Reliability symposium
• 2012 – 2018 Technical committee, International Ship and Offshore Structures Congress (ISSC) – V.8 Subsea systems

• Best Paper of the Year Award (2024) in Engineering Structures, for the paper “Data-driven fast reliability assessment of offshore structures based on real-time sensor data”
• OMAE appreciation award (2019 and 2024)
• NTU Overseas Scholarship 2003
• Montrose Prize for best final year project, 2000

• Design of Floating Structures
• Moorings and risers
• Structural stability and dynamics
• Marine statics and dynamics
• Engineering and uncertainty analysis
• Wave Hydrodynamics

• Floating structures, moorings, and risers
• Random vibration
• Reliability analysis

1. Miao Q., Low Y. M. (2026). Accurate variance estimation for subset simulation incorporating intrachain, interchain, and interlevel correlations. Structural Safety, 102690.
2. Miao Q., Low Y.M. (2026). Bayesian inference for the shifted generalized lognormal distribution with sequential updating. Reliability Engineering & System Safety, 112141.
3. Huynh, T. C., Koh, C. G., & Low, Y. M. (2026). A Novel Active Sensing Method for Robust Multi-Bolt Monitoring and Looseness Detection via Vibration Features. Journal of Sound and Vibration, 119716.
4. Wen Y., Low, Y. M. (2026). Assessment of tidal stream energy and decarbonization potential by high-resolution simulations: A case study for Singapore. Energy Conversion and Management, 348, 120771.
5. Wen Y. Low Y.M. (2026). Long-term resource assessment and decarbonization potential of wave energy. Renewable Energy, 124287.
6. Wen Y., Wu J., Lin P., Low Y.M. (2025). The role of offshore wind and solar PV resources in the global low-carbon transition. Science Advances, 11(43), eadx5580.
7. Huynh T.C., Koh C.G., Low Y.M. (2025). Reference-free impedance-based crack detection for asymmetric structures: application to tidal turbine blades. Journal of Sound and Vibration, 618, 119304.
8. Huynh T.C., Koh C.G., Low Y.M. (2025). Impedance-based damage detection in piezoelectric composite plate coupled with water. Engineering Structures, 341, 120859.
9. Zhao Z., Low Y.M. (2025). A simple and accurate method for quantifying the area effect of unidirectional extreme ocean waves. Applied Mathematical Modelling, 116267.
10. Miao Q., Low Y.M. (2025). Improved variance estimation for subset simulation by accounting for the correlation between Markov chains. Structural Safety, 102606.
11. Miao Q., Low Y.M. (2025). Efficient long-term extreme response and fatigue analysis of offshore structures under stochastic wave, current, and wind loads. Marine Structures, 103, 103815.
12. Liong C.T., Yang X., Chan E.S., Low Y.M. (2025). Mechanics of energy dissipation due to wave plunging. Coastal Engineering, 104723.
13. Zhao Z., Low Y.M. (2025). Extreme value analysis of multivariate Gaussian processes with wave-passage effects. Journal of Sound and Vibration, 596, 118703.
14. Cheng A., Miao Q., Low Y.M. (2024). Data-driven fast reliability assessment of offshore structures based on real-time sensor data. Engineering Structures, 317, 118675.
15. Cheng A., Low Y.M. (2024). A new metamodel for predicting the nonlinear time-domain response of offshore structures subjected to stochastic wave current and wind loads. Computers & Structures, 297, 107340.
16. Zhao Z., Low Y.M. (2023). Extreme value analysis of high-dimensional Gaussian vector processes. Journal of Sound and Vibration, 567, 118067.
17. Huang K., Zan Y., Low Y.M., Han D., Yuan L., Gao, Q. (2023). Experimental and numerical study of coupling effects between vessel motion and pipeline tension in deepwater J-laying. Ocean Engineering, 287, 115827.
18. Low Y.M., Asgari P., Fernandes A.C. (2023). Probabilistic analysis of the instantaneous center of rotation of a floating structure under regular and irregular beam waves. Probabilistic Engineering Mechanics, 74, 103518.
19. Cheng A., Low Y.M. (2023). Improved generalization of NARX neural networks for enhanced metamodeling of nonlinear dynamic systems under stochastic excitations. Mechanical Systems and Signal Processing, 200, 110543.
20. Xie Y. Tang H., Low Y. M. (2023). Deep gated recurrent unit networks for time-domain long-term fatigue analysis of mooring lines considering wave directionality. Ocean Engineering, 284, 115244.
21. Zhao Z., Low Y.M. (2023). Efficient method for approximating the joint extreme value distribution of multivariate stationary Gaussian processes. Journal of Engineering Mechanics, 149(4), 04023020.