Project Publications

1. Bakhtawar, B., Zayed, T., & Arshad, H. (2025). Multi-step time-to-failure predictions in water pipelines using feature engineering and cascading ensembles. Water Research, 124253.
2. Taiwo, R., Zayed, T., Bakhtawar, B., & Adey, B. T. (2025). Explainable deep learning models for predicting water pipe failures. Journal of Environmental Management, 379, 124738. https://doi.org/10.1016/j.jenvman.2025.124738
3. Xing, J., Ali, E., Zayed, T., Elshaboury, N., Eltoukhy, A. E., Abdelkader, E. M., & Taiwo, R. (2025). Revealing Critical Pipes in Water Networks through Integrated Edge Centrality and Multi-Criteria Vulnerability Analysis. Water Research X, 100366. https://doi.org/10.1016/j.wroa.2025.100366
4. Bakhtawar, B., Zayed, T., Shaban, I. A., Elshaboury, N., & Yussif, A. M. (2025). Ageing underground water pipelines: Time-to-failure models, gaps and future directions. Water Research X, 29, 100331. https://doi.org/10.1016/j.wroa.2025.100331
5. Bakhtawar, B., Zayed, T., & Elshaboury, N. (2025). Time-to-failure based deterioration factors of water networks: Systematic review and prioritization. Reliability Engineering & System Safety, 111246. https://doi.org/10.1016/j.ress.2025.111246
6. Elshaboury, N., Zayed, T., & Abdelkader, E. M. (n.d.). A hybrid spherical fuzzy AHP-MARCOS model for evaluating the condition of saltwater pipes in Hong Kong. Engineering Construction and Architectural Management. https://doi.org/10.1108/ECAM-08-2023-0777
7. Abdelkader, E. M., Zayed, T., Elshaboury, N., & Taiwo, R. (2024). A hybrid Bayesian optimization-based deep learning model for modeling the condition of saltwater pipes in Hong Kong. International Journal of Construction Management. https://doi.org/10.1080/15623599.2024.2304392
8. Taiwo, R., Zayed, T., & Seghier, M. E. A. B. (2024). Integrated intelligent models for predicting water pipe failure probability. Alexandria Engineering Journal, 86, 243–257. https://doi.org/10.1016/j.aej.2023.11.047
9. Taiwo, R., Yussif, A. M., Seghier, M. E. A. B., & Zayed, T. (2024). Explainable ensemble models for predicting wall thickness loss of water pipes. Ain Shams Engineering Journal. https://doi.org/10.1016/j.asej.2024.102630
10. Xing, J., Zayed, T., Dai, Y., Shao, Y., & Almheiri, Z. (2024). A hybrid machine learning-based model for predicting failure of water mains under climatic variations: A Hong Kong case study. Tunnelling and Underground Space Technology, 152, 105958. https://doi.org/10.1016/j.tust.2024.105958
11. Xing, J., Zayed, T., & Ma, S. (2024). Corrosion-based failure analysis of steel saltwater pipes: A Hong Kong case study. Engineering Failure Analysis, 161, 108266. https://doi.org/10.1016/j.engfailanal.2024.108266
12. Shaban, I. A., Eltoukhy, A. E., & Zayed, T. (2023). Systematic and scientometric analyses of predictors for modelling water pipes deterioration. Automation in Construction, 149, 104710. https://doi.org/10.1016/j.autcon.2022.104710
13. Ahmad, T., Shaban, I. A., & Zayed, T. (2023). A review of climatic impacts on water main deterioration. Urban Climate, 49, 101552. https://doi.org/10.1016/j.uclim.2023.101552
14. Taiwo, R., Shaban, I. A., & Zayed, T. (2023). Development of sustainable water infrastructure: A proper understanding of water pipe failure. Journal of Cleaner Production, 398, 136653.
15. Taiwo, R., Ben Seghier, M. E. A., & Zayed, T. (2023). Toward sustainable water infrastructure: The state-of-the-art for modeling the failure probability of water pipes. Water Resources Research, 59(4), e2022WR033256.
16. Farh, H. M. H., Seghier, M. E. A. B., & Zayed, T. (2023). A comprehensive review of corrosion protection and control techniques for metallic pipelines. Engineering Failure Analysis, 143, 106885. https://doi.org/10.1016/j.engfailanal.2022.106885
17. Farh, H. M. H., Seghier, M. E. A. B., Taiwo, R., & Zayed, T. (2023). Analysis and ranking of corrosion causes for water pipelines: a critical review. npj Clean Water, 6(1), 65.
18. Huo, Y. X., Gomaa, S. M., Zayed, T., & Meguid, M. (2023). Review of analytical methods for stress and deformation analysis of buried water pipes considering pipe–soil interaction. Underground Space, 13, 205–227. https://doi.org/10.1016/j.undsp.2023.02.017
19. Zhang, R., Gomaa, S. M. M. H., Hussein, M., Zayed, T., & Meguid, M. (2023). Review of numerical approaches used in soil–pipe interaction analysis of water mains. Transportation Geotechnics, 42, 101008. https://doi.org/10.1016/j.trgeo.2023.101008