SIMSLab
2025:
[J1] Fares, A., Zayed, T., Faris, N., Yussif, A.M., & Abdelkhalek, S. (2025). Pavement thickness evaluation using GPR and fuzzy logic. Automation in Construction, 175, July, 106236. https://doi.org/10.1016/j.autcon.2025.106236
[J2] Taiwo, R., Shaban, I. A., Ahmad, T. & Zayed, T. (2025). Big data-driven prediction of watermain failures in semi-tropical regions: Case study of Hong Kong's distribution network. Automation in Construction, 175, July, 106159. https://doi.org/10.1016/j.autcon.2025.106159
[J3] Arshad, H., Zayed, T., Bakhtawar, B., Chen, A., & Li, H. (2025). Damage assessment of modular integrated construction during transport and assembly using a hybrid CNN–Gated recurrent unit model. Automation in Construction, 174, June, 106136. https://doi.org/10.1016/j.autcon.2025.106136
[J4] Qureshi, A. H., Zayed, T., Ibrahim, A., Xiong, C., Abdelkhalek, S., & Manzoor, B. (2025). Optimum thermal gradient thresholds (OTGT) system for inspecting bridges using Infrared Thermography (IRT). Advanced Engineering Informatics, 67, June, 103520. https://doi.org/10.1016/j.aei.2025.103520
[J5] Taiwo, R., Zayed, T., & Adey, B. T. (2025). A novel ensemble learning framework for predicting the causes of water pipe failures. Reliability Engineering and System Safety, 264, June, 111320. https://doi.org/10.1016/j.ress.2025.111320
[J6] 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, June, 100366. https://doi.org/10.1016/j.wroa.2025.100366
[J7] Assaf, M., Zayed, T., Hussein, M., & Alfalah, G. (2025). Blockchain-enabled cash flow management system in offsite construction projects. Results in Engineering, 27, June, 105508. https://doi.org/10.1016/j.rineng.2025.105508
[J8] Liu R., Zayed T., & Xiao R. (2025). A critical systematic review of AI-based models for water leak detection using vibroacoustic technology. Engineering Applications of Artificial Intelligence, 158, June, 111432. https://doi.org/10.1016/j.engappai.2025.111432
[J9] Liu R., Zayed T., & Xiao R. (2025). Investigating the performance of Kolmogorov-Arnold network on acoustic leak detection in water distribution networks. IEEE Transactions on Instrumentation and Measurement, 74, June, 3543308. https://doi.org/10.1109/TIM.2025.3577842
[J10] Abdulai, S. F., Zayed, T., Taiwo, R., & Ali, A. H. (2025). Hybrid Statistical Analysis of Critical Alignment Factors in Modular Integrated Construction. Journal of Construction Engineering and Management, 151(9), June, 1–17. https://doi.org/10.1061/JCEMD4.COENG-16783
[J11] Ibrahim, A., Zayed, T., & Lafhaj, Z. (2025). Bridging barriers to lean construction adoption in megaprojects: a data-driven contribution to sustainable development using SEM. Environment, Development and Sustainability, June, 1–50. https://doi.org/10.1007/s10668-025-06424-9
[J12] Yang, J., Arimiyaw, D., Zayed, T., Nashat, M., Liu, X., & Ibrahim, A. (2025). Survival Analysis Framework for Sewer Failure Time: Evidence from Hong Kong. npj Clean Water (Accepted on 15 May 2025).
[J13] Bakhtawar, B., Zayed, T., & Elshaboury, N. (2025). Time-to-failure based deterioration factors of water networks: Systematic review and prioritization. Reliability Engineering & System Safety, 263, May, 111246. https://doi.org/10.1016/j.ress.2025.111246
[J14] Ma, S., Zayed, T., Xing, J., & Ren, Z. (2025). Analyzing factors influencing defect-based conditions for sewer pipes using bayesian networks. Reliability Engineering & System Safety, 262, May, 111243. https://doi.org/10.1016/j.ress.2025.111243
[J15] Zhou, Z., Yam, M. C. H., He, X., Zayed, T., Wang, J., & Ke, K. (2025). Experimental investigation of ductile iron water pipes with corrosion patches under bending and internal water pressure. Thin-Walled Structures, 215, May, 113497. https://doi.org/10.1016/j.tws.2025.113497
[J16] Taiwo, R., Zayed, T., Elshaboury, N., Alfalah, G., & Abdelkader, E. M. (2025). Promoting sustainable water distribution networks: Modeling of water pipe failure factors and modes. Cleaner Engineering and Technology, 26, May, 100969. https://doi.org/10.1016/j.clet.2025.100969
[J17] Eltoukhy, A. E. E., Hashim, H. A., Hussein, M., Khan, W. A., & Zayed, T. (2025). Sustainable vehicle route planning under uncertainty for modular integrated construction: multi-trip time-dependent VRP with time windows and data analytics. Annals of Operations Research, 348(2), May, 863–898. https://doi.org/10.1007/s10479-024-06442-2
[J18] Elshaboury, N., Zayed, T., & Mohammed Abdelkader, E. (2025). A hybrid spherical fuzzy AHP-MARCOS model for evaluating the condition of saltwater pipes in Hong Kong. Engineering, Construction and Architectural Management, 32(5), May, 3285–3325. https://doi.org/10.1108/ECAM-08-2023-0777
[J19] Taiwo, R., Zayed, T., Bakhtawar, B., & Adey, B. T. (2025). Explainable deep learning models for predicting water pipe failures. Journal of Environmental Management, 379, April, 124738. https://doi.org/10.1016/j.jenvman.2025.124738
[J20] Elrifaee, M., Zayed, T., Ali, E., & Ali, A. H. (2025). IoT contributions to the safety of construction sites: A comprehensive review of recent advances, limitations, and suggestions for future directions. Internet of Things, 31, April, 101387. https://doi.org/10.1016/j.iot.2024.101387
[J21] Mohandes, S. R., Karasan, A., Gündoğdu, F. K., Singh, A. K., Mahdiyar, A., Poor Sabet, P. G., & Zayed, T. (2025). Occupational safety and health risk assessment during maintenance stage of construction projects: A multi-pronged fuzzy-based approach. Expert Systems with Applications, 280, April, 127522. https://doi.org/10.1016/j.eswa.2025.127522
[J22] Arshad, H., Zayed, T., Bakhtawar, B., Chen, A., & Li, H. (2025). Damage assessment of modular integrated construction during transport and assembly using a hybrid CNN–Gated recurrent unit model. Automation in Construction, 174, March, 106136. https://doi.org/10.1016/j.autcon.2025.106136
[J23] Abdulai, S. F., Zayed, T., Wuni, I. Y., Antwi-Afari, M. F., & Yussif, A. M. (2025). Cross-industry review of autonomous alignment technologies: Adaptation potential for modular construction. Journal of Cleaner Production, 495, March, 145101. https://doi.org/10.1016/j.jclepro.2025.145101
[J24] Bakhtawar, B., Zayed, T., Shaban, I., Elshabory, N., & Yussif, A. M. (2025). Ageing underground water pipelines: Time-to-failure models, gaps and future directions. Water Research X, 29, March, 100331. https://doi.org/10.1016/j.wroa.2025.100331
[J25] Elrifaee, M., Zayed, T., Ali, A. H., Ibrahim, A., & Wang, R. D. (2025). A holistic evaluation of success factors for advancing IoT adoption through mitigating barriers in construction site safety. Internet of Things, 31, March, 101595. https://doi.org/10.1016/j.iot.2025.101595
[J26] Taiwo, R., Bello, I.T., Abdulai, S.F., Yussif, A.M., Salami, B.A., Saka, A., Seghier, M.E.A.B., & Zayed, T. (2025). Generative artificial intelligence in construction: A Delphi approach, framework, and case study. Alexandria Engineering Journal, 116, March, 672–698. https://doi.org/10.1016/j.aej.2024.12.079
[J27] Rahimian, A., Ahmed, R. R., Fazeli, A., Aghdam, E., Kumar Singh, A., Naji, M., … Zayed, T. (2025). Examining the Barriers to the Adoption of IoT-Based Technologies in Green Buildings. Journal of Construction Engineering and Management, 151(3), March, 4024211. https://doi.org/10.1061/JCEMD4.COENG-14231
[J28] Abdelkhalek, S., Zayed, T. & Eltoukhy A. E. E. (2025). Multifaceted Optimization for Bridge Inspection Process. Journal of Construction Engineering and Management, 151(5), March, 04025034. https://doi.org/10.1061/JCEMD4.COENG-15165
[J29] Boadu, V., El-Zahab, S., & Zayed, T. (2025). Enhancing Automated Acoustic Leak Detection in a Water Distribution Network Using Ensemble Machine Learning. Journal of Water Resources Planning and Management, 151(3), March, 4024073. https://doi.org/10.1061/JWRMD5.WRENG-6578
[J30] Kineber, A. F., Singh, A. K., Mohandes, S. R., Elshaboury, N., Zayed, T., & Elayoty, S. (2025). Decision-making model for selecting the criteria of green stormwater pipe material: a SEM-ANN approach. Journal of Facilities Management, March, ahead-of-print. https://doi.org/10.1108/JFM-07-2024-0091
[J31] Muddassir, M., Zayed, T., Ali, A. H., Elrifaee, M., Abdulai, S. F., Yang, T., & Eldemiry, A. (2025). Automation in tower cranes over the past two decades (2003–2024). Automation in Construction, 170, February, 105889. https://doi.org/10.1016/j.autcon.2024.105889
[J32] Taiwo, R., Yussif, A. M., & Zayed, T. (2025). Making waves: Generative artificial intelligence in water distribution networks: Opportunities and challenges. Water Research X, 28, February, 100316. https://doi.org/10.1016/j.wroa.2025.100316
[J33] Xiao, R., Zayed, T., Meguid, M. A., & Sushama, L. (2025). A statistical perspective on natural gas distribution pipeline incidents in the United States. Gas Science and Engineering, 134, February, 205524. https://doi.org/10.1016/j.jgsce.2024.205524
[J34] Faris, N., Khalil, A. K., Abdelkareem, M. A. A., Abdelkhalek, S., Fares, A., Zayed, T., & Alfalah, G. (2025). A GPR-based framework for assessing corrosivity of concrete structures using frequency domain approach. Heliyon, 11, February, e42641. https://doi.org/10.1016/j.heliyon.2025.e42641
[J35] Fares, A., Wong, M.-N., Zayed, T., & Faris, N. (2025). Impact of rutting on traffic safety: A synthesis of research findings. Applied Sciences, 15, February, 253. https://doi.org/10.3390/app15010253
[J36] Xu, Z., Liu, H., Fu, G., Zheng, R., Zayed, T., & Liu, S. (2025). Interpretable deep learning for acoustic leak detection in water distribution systems. Water Research, 273, January, 123076. https://doi.org/10.1016/j.watres.2024.123076
[J37] Liu R., Zayed T., & Xiao R. (2025). Acoustic leak localization for water distribution network through time-delay-based deep learning approach. Water Research, January, 122600. https://doi.org/10.1016/j.watres.2024.122600
[J38] Yang, J., Zayed, T., Arimiyaw, D., & Xiao, R. (2025). A comprehensive review of influential factors and predictive techniques of time to failure for sewer pipes. Tunnelling and Underground Space Technology, 157, January, 106357. https://doi.org/10.1016/j.tust.2024.106357
[J39] Yussif, A. M., Taiwo, R., Zayed, T., Mohandes, S.R., & Abdulai, S. F. (2025). Enhancing Sustainable Urban Mobility: Computer Vision Applications in Pedestrian Path Studies. Journal of Traffic and Transportation Engineering, in Press. https://jtte.chd.edu.cn/article/id/759eddae-7ad8-43b1-8039-85ec46f1119a
[J40] Ibrahim, A., Zayed, T., & Lafhaj, Z. (2025). Trends and gaps in lean construction practices for construction of megaprojects: A critical review. Alexandria Engineering Journal, 118, January, 174–193. https://doi.org/10.1016/j.aej.2025.01.046
[J41] Xiao, R., Zayed, T., Meguid, M. A., & Sushama, L. (2025). Reliability analysis of gas pipelines considering spatial and temporal corrosion variability. Journal of Pipeline Science and Engineering, January, 100256. https://doi.org/10.1016/j.jpse.2025.100256
[J42] Mohammed Abdelkader, E., Zayed, T., Elshaboury, N., & Taiwo, R. (2025). A hybrid Bayesian optimization-based deep learning model for modeling the condition of saltwater pipes in Hong Kong. International Journal of Construction Management, 25(1), January, 46–62. https://doi.org/10.1080/15623599.2024.2304392
[J43] Faris, N., Zayed, T., & Fares, A. (2025). Review of condition rating and deterioration modeling approaches for concrete bridges. Buildings, 15, January, 219. https://doi.org/10.3390/buildings15020219
[J44] Xie, Y., Chu, X., Ouyang, P., Jiang, L., Xing, J., Yao, H., & Zayed, T. (2025). A mini review on coated pipes: Materials, manufacturing and anti-corrosion protection. Corrosion Engineering, Science and Technology, 60(3), 217–230. https://doi.org/10.1177/1478422X241278895
SIMSLab