SIMS Lab · Research
SLDS Project Publications
Project publications from the SIMS Lab team. For the full lab publication list, see All Publications.
[J1]
Zhang, R., Fares, A., Tijani, I. A., Zayed, T., Jin, Z., & Yussif, A. M. (2026). Acoustic based leak location detection for water supply pipelines in urban areas via multi-task deep learning. Engineering Applications of Artificial Intelligence, 163, 112718. https://doi.org/10.1016/j.engappai.2025.112718
[J2]
Liu, R., Zayed, T., & Xiao, R. (2025a). Acoustic leak localization for water distribution network through time-delay-based deep learning approach. Water Research, 268, 122600. https://doi.org/10.1016/j.watres.2024.122600
[J3]
Liu, R., Zayed, T., & Xiao, R. (2025b). Explainable Machine-Learning Leak Identification Framework for Water Distribution Networks. Journal of Computing in Civil Engineering, 39, 04025090. https://doi.org/10.1061/JCCEE5.CPENG-6119
[J4]
Liu, R., Zayed, T., & Xiao, R. (2025c). A critical systematic review of machine learning based models for water leak detection using vibroacoustic technology. Engineering Applications of Artificial Intelligence, 158, 111432. https://doi.org/10.1016/j.engappai.2025.111432
[J5]
Bakhtawar, B., Fares, A., & Zayed, T. (2025). AIoT-Driven Leak Detection in Real Water Networks Using Hydrophones. Water Resources Management, 39, 2551–2566. https://doi.org/10.1007/s11269-024-04077-3
[J6]
Liu, R., Tariq, S., Tijani, I.A., Fares, A., Bakhtawar, B., Fan, H., Zhang, R., & Zayed, T. (2024). Data-Driven Approaches for Vibroacoustic Localization of Leaks in Water Distribution Networks. Environmental Processes, 11, 14. https://doi.org/10.1007/s40710-024-00682-x
[J7]
Liu, R., Zayed, T., & Xiao, R. (2024b). Contrastive learning method for leak detection in water distribution networks. npj Clean Water, 7, 118. https://doi.org/10.1038/s41545-024-00406-6
[J8]
Liu, R., Zayed, T., & Xiao, R. (2024c). Advanced acoustic leak detection in water distribution networks using integrated generative model. Water Research, 254, 121434. https://doi.org/10.1016/j.watres.2024.121434
[J9]
Zhang, R., Yussif, A. M., Tijani, I., Fares, A., Tariq, S., & Zayed, T. (2024). Acoustic localization approach for urban water distribution networks using machine learning method. Engineering Applications of Artificial Intelligence, 137, 109062. https://doi.org/10.1016/j.engappai.2024.109062
[J10]
Bakhtawar, B., & Zayed, T. (2023). State-of-the-art review of leak diagnostic experiments: Toward a smart water network. WIREs Water, 10, e1667. https://doi.org/10.1002/wat2.1667
[J11]
Yussif, A. M., Sadeghi, H., & Zayed, T. (2023). Application of machine learning for leak localization in water supply networks. Buildings, 13(4), 849. https://doi.org/10.3390/buildings13040849
[J12]
Fan, H., Tariq, S., & Zayed, T. (2022). Acoustic leak detection approaches for water pipelines. Automation in Construction, 138, 104226. https://doi.org/10.1016/j.autcon.2022.104226
[J13]
Fares, A., Tijani, I. A., Zhang, R., & Zayed, T. (2022). Leak detection in real water distribution networks based on acoustic emission and machine learning. Environmental Technology. DOI: 10.1080/09593330.2022.2074320.
[J14]
Tariq, S., Bakhtawar, B., & Zayed, T. (2022). Data-driven application of MEMS-based accelerometers for leak detection in water distribution networks. Science of The Total Environment, 809, 151110. https://doi.org/10.1016/j.scitotenv.2021.151110
[J15]
Tijani, I. A., Abdelmageed, S., Fares, A., Fan, K. H., Hu, Z. Y., & Zayed, T. (2022). Improving the leak detection efficiency in water distribution networks using noise loggers. Science of the Total Environment, 821. https://doi.org/10.1016/j.scitotenv.2022.153530
[J16]
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
[J17]
Bakhtawar, B., & Zayed, T. (2021). Review of Water Leak Detection and Localization Methods through Hydrophone Technology. Journal of Pipeline Systems Engineering and Practice, 12(4), 1–12. https://doi.org/10.1061/(asce)ps.1949-1204.0000574
[J18]
Hu, Z., Tariq, S., & Zayed, T. (2021). A comprehensive review of acoustic based leak localization method in pressurized pipelines. Mechanical Systems and Signal Processing, 161, 107994. https://doi.org/10.1016/j.ymssp.2021.107994
[J19]
Ibrahim, K., Tariq, S., Bakhtawar, B., & Zayed, T. (2021). Application of fiber optics in water distribution networks for leak detection and localization: a mixed methodology-based review. H2Open Journal, 4(1), 244–261. https://doi.org/10.2166/h2oj.2021.102
[J20]
Tariq, S., Hu, Z., & Zayed, T. (2021). Micro-electromechanical systems-based technologies for leak detection and localization in water supply networks: A bibliometric and systematic review. Journal of Cleaner Production, 289, 125751. https://doi.org/10.1016/j.jclepro.2020.125751