Prof. Dr. Amir Hamzeh Haghiabi is a distinguished scholar in the field of water engineering, with extensive expertise in hydraulic structures, experimental hydraulics, river hydrodynamics, and flood engineering. His research primarily focuses on understanding and modeling the behavior of water flows, sediment transport, and density currents, aiming to develop efficient hydraulic systems and sustainable water management solutions. As a highly accomplished academic, he has contributed significantly to advancing knowledge in hydraulic and environmental engineering through numerous publications, research collaborations, and leadership roles in academia. His work has been recognized internationally, earning him repeated inclusion among the top two percent of scientists worldwide in global citation databases compiled by Elsevier and Stanford University. In addition to his research achievements, he serves on the editorial board of the Journal of Flow Measurement and Instrumentation and has received multiple honors for excellence in research and innovation. Prof. Hamzeh Haghiabi is renowned for his contributions to experimental and theoretical studies in water structure dynamics and for bridging scientific research with practical applications in water resource management and flood control. His professional career reflects a strong commitment to advancing hydraulic science and fostering collaboration between academia and industry to address pressing environmental and engineering challenges.
Profiles: Scopus | Google Scholar
Featured Publications
Haghiabi, A. H., Nasrolahi, A. H., & Parsaie, A. (2018). Water quality prediction using machine learning methods. Water Quality Research Journal, 53(1), 3–13.
Haghizadeh, A., Siahkamari, S., Haghiabi, A. H., & Rahmati, O. (2017). Forecasting flood-prone areas using Shannon’s entropy model. Journal of Earth System Science, 126(3), 39.
Azamathulla, H. M., Haghiabi, A. H., & Parsaie, A. (2016). Prediction of side weir discharge coefficient by support vector machine technique. Water Science and Technology: Water Supply, 16(4), 1002–1016.
Haghiabi, A. H., Parsaie, A., & Ememgholizadeh, S. (2018). Prediction of discharge coefficient of triangular labyrinth weirs using adaptive neuro fuzzy inference system. Alexandria Engineering Journal, 57(3), 1773–1782.
Parsaie, A., & Haghiabi, A. H. (2017). Computational modeling of pollution transmission in rivers. Applied Water Science, 7(3), 1213–1222.