Prof. Lai Sai Hin

CEng (UK), PEng (Malaysia), Fellow (FAAET, FIET)

Department of Civil Engineering, Faculty of Engineering,

University of Malaya, Malaysia

Email: [email protected]

Qualifications

2007 Ph.D., Universiti Malaysia Sarawak, Civil Engineering Department

2001 M.Sc., Universiti Putra Malaysia, Biological & Agricultural Engineering Department

1999 B.Sc., Universiti Putra Malaysia, Biological & Agricultural Engineering Department

Publications (Selected)

1. Zhao, D., Poong, S. W., Cheah, W. Y., et al. (2026). Copper stress responses in Scenedesmus obliquus-Bacillus subtilis consortia: Machine learning-based prediction of copper removal. Bioresource Technology, 453, Article 134681.
2. Toh, S. C., Wan Jaafar, W. Z., Ng, C. Y., et al. (2026). Enhanced IMERG SPE using LSTM with a novel adaptive regularization method. Water, 18(8), Article 905.
3. Ng, C. Y., Othman, F., Wan Jaafar, W. Z., et al. (2026). Comparative evaluation of seven precipitation products in rainfall estimation over tropical Peninsular Malaysia. Stochastic Environmental Research and Risk Assessment, 40(2), Article 45.
4. Lai, S. H., Chin, R. J., Soo, E. Z. X., et al. (2024). Optimal design of subsurface conveyance system based bio-ecological drainage system simulation. KSCE Journal of Civil Engineering, 28(6), 2564–2570.
5. He, B., Armaghani, D. J., Lai, S. H., et al. (2024). A deep dive into tunnel blasting studies between 2000 and 2023-A systematic review. Tunnelling and Underground Space Technology, 147, Article 105727.
6. Wei, Y., Bin Hashim, H., Lai, S. H., et al. (2024). Comparative analysis of artificial intelligence methods for streamflow forecasting. IEEE Access, 12, 10865–10885.
7. Lazarus, R. R., Jaafar, W. Z. W., Alengaram, U. J., et al. (2023). Overview of the research gaps in the rainfall simulator study. Soil Science Society of America Journal, 87(6), 1231–1248.
8. He, B., Armaghani, D. J., Lai, S. H., et al. (2024). Applying data augmentation technique on blast-induced overbreak prediction: Resolving the problem of data shortage and data imbalance. Expert Systems with Applications, 237, Article 121616.
9. Huat, C. Y., Armaghani, D. J., Lai, S. H., et al. (2023). Simulation of surface settlement induced by parallel mechanised tunnelling. Sustainability, 15(17), Article 13265.
10. Tan, W. Y., Lai, S. H., Pavitra, K., et al. (2023). Deep learning model on rates of change for multi-step ahead streamflow forecasting. Journal of Hydroinformatics, 25(5), 1667–1689.
11. Ali, M., & Lai, S. H. (2023). Artificial intelligent techniques for prediction of rock strength and deformation properties-A review. Structures, 55, 1542–1555.
12. Toh, S. C., Lai, S. H., Mirzaei, M., et al. (2023). Sequential data processing for IMERG satellite rainfall comparison and improvement using LSTM and ADAM optimizer. Applied Sciences, 13(12), Article 7237.
13. Ji, H. K., Mirzaei, M., Lai, S. H., et al. (2023). The robustness of conceptual rainfall-runoff modelling under climate variability-A review. Journal of Hydrology, 621, Article 129666.
14. Zhao, D., Cheah, W. Y., Lai, S. H., et al. (2023). Symbiosis of microalgae and bacteria consortium for heavy metal remediation in wastewater. Journal of Environmental Chemical Engineering, 11(3), Article 109943.
15. Khor, J. F., Ling, L., Yusop, Z., et al. (2023). Impact comparison of El Nino and ageing crops on Malaysian oil palm yield. Plants, 12(3), Article 424.
16. He, B., Armaghani, D. J., & Lai, S. H. (2023). Assessment of tunnel blasting-induced overbreak: A novel metaheuristic-based random forest approach. Tunnelling and Underground Space Technology, 133, Article 104979.
17. Armaghani, D. J., He, B., Mohamad, E. T., et al. (2023). Applications of two neuro-based metaheuristic techniques in evaluating ground vibration resulting from tunnel blasting. Mathematics, 11(1), Article 106.
18. Cheng, G., Lai, S. H., Rashid, A. S. A., et al. (2023). Investigating the effect of parameters on confinement coefficient of reinforced concrete using development of learning machine models. Sustainability, 15(1), Article 199.
19. Tan, W. Y., Lai, S. H., Teo, F. Y., et al. (2022). Three steps towards better forecasting for streamflow deep learning. Applied Sciences, 12(24), Article 12567.
20. Soo, E. Z. X., Jaafar, W. Z. W., Lai, S. H., et al. (2022). Enhancement of satellite precipitation estimations with bias correction and data-merging schemes for flood forecasting. Journal of Hydrologic Engineering, 27(9), Article 05022009.

Profile Details
https://expert.unimas.my/profile/3087
https://scholar.google.com/citations?user=v1pnvfAAAAAJ&hl=en
https://www.researchgate.net/profile/Sai-Lai

WOS ResearcherID: H-3164-2018