Our research interest includes but not limited to infrastructure management, simulation and artificial intelligent applications in construction, asset performance, scheduling, life cycle cost (LCC) analysis, budget allocation, and risk assessment for construction and rehabilitation of highways, oil and gas pipelines, water and sewer systems, buildings, bridges and tunnels...more.
Recent Publications:
Abdelmageed, S., Tariq, S., Boadu, V., & Zayed, T. (2022). Criteria-based critical review of artificial intelligence applications in water-leak management. Environmental Reviews, 18(May 2021), 1–18. https://doi.org/10.1139/er-2021-0046.
Fan, H., Tariq, S., & Zayed, T. (2022). Acoustic leak detection approaches for water pipelines. Automation in Construction, 138(September 2020), 104226. https://doi.org/10.1016/j.autcon.2022.104226
Fares, A., Tijani, I. A., Zhang, R., & Zayed, T. (2022). Leak Detection of Water Distribution Networks Based on Acoustic Emission and Machine Learning. Environmental Reviews, Under review, 1–17. https://doi.org/10.1080/09593330.2022.2074320
Hussein, M., Darko, A., Eltoukhy, A. E. E., & Zayed, T. (2022). Sustainable Logistics Planning in Modular Integrated Construction Using Multimethod Simulation and Taguchi Approach [Article]. Journal of Construction Engineering and Management, 148(6), Article 04022022. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002273
Owolabi,T. A., Mohandes, S. R. and Zayed, T., “Investigating the impact of sewer overflow on the environment: A comprehensive literature review paper.,” Journal of Environmental Management, vol. 301, p. 113810, Jan. 2022, https://doi.org/10.1016/j.jenvman.2021.113810
Tijani, I. A., & Zayed, T. (2022). Gene expression programming based mathematical modeling for leak detection of water distribution networks. Measurement, 188, 110611. https://doi.org/10.1016/j.measurement.2021.110611
Owolabi,T. A., Mohandes, S. R. and Zayed, T., “Investigating the impact of sewer overflow on the environment: A comprehensive literature review paper.,” Journal of Environmental Management, vol. 301, p. 113810, Jan. 2022, https://doi.org/10.1016/j.jenvman.2021.113810
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