Draft:Amin.Arzhangi

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Declined by AlphaBetaGamma 10 days ago. Last edited by AlphaBetaGamma 10 days ago. Reviewer: Inform author.

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Mr. Amin Arzhangi | University of Bojnord | Iran

Amin Arzhangi is a dedicated Master’s student in Water Engineering and Hydraulic Structures at the University of Bojnord, recognized for academic excellence with a top-class ranking and strong research productivity. His work spans interdisciplinary domains of hydrology, ecohydrology, environmental hydraulics, sedimentology, river engineering, and water quality assessment. He has developed a robust research profile through active involvement in advanced modeling, machine learning applications in environmental systems, and hydro-geomorphic analyses. His research contributions focus on critical issues such as hypoxia prediction in rivers and reservoirs, water quality index modeling, biodegradability assessment, sediment pollution, and river system hydraulics. He has authored numerous peer-reviewed papers in reputable international journals—including Nature Communications Sustainability, Science, and Ecosystem Health and Sustainability—with several manuscripts under review. His publications reflect methodological depth, spanning machine learning models, hydrological process modeling, reaeration estimation, and spatial analysis of riverine and coastal systems. His work has accumulated meaningful citations, demonstrating its contribution to the scientific community. In parallel to his academic research, he has presented at well-regarded international conferences in Turkey, Portugal, and Iran, addressing river morphology, organic carbon dynamics, and land-use impacts on water quality. He also contributes professionally as a reviewer for established journals such as Science of the Total Environment, Journal of Hydrology, Results in Engineering, and others, and serves on an editorial board. His applied skills include machine learning for environmental prediction, hydrodynamic and hydraulic modeling (HEC-RAS, QUAL2K, Hydrus), GIS and remote sensing, and programming in Python and R. He is actively engaged in multiple ongoing projects involving sediment source tracing, coastal ecosystem analysis, turbulence modeling, water quality forecasting, and remote sensing-based hydrological assessments. Through strong academic rigor, interdisciplinary collaborations, and impactful research output, he demonstrates a clear trajectory toward becoming an emerging researcher in water resources engineering and environmental hydro systems.

Profile: Orcid | Google Scholar | LinkedIn | Research Gate

Featured Publications

Partani, S., Arzhangi, A., Danandeh Mehr, A., Ezzati, F., & Saber, A. (2025). Integrated hydraulic and reaeration analysis for sustainable water quality management in river systems. SSRN. https://doi.org/10.2139/ssrn.5365496

Arzhangi, A., & Partani, S. (2025, November). A multi-scale framework for BOD5 prediction from water quality to hydro-geomorphic interpolation. iScience. https://doi.org/10.1016/j.isci.2025.114177

Arzhangi, A., Partani, S., Danandeh Mehr, A., Ezzati, F., & Saber, A. (2025, September 12). Instant water quality index (WQI) prediction via reaeration process and hydraulic parameters in the river system (Version 1) [Preprint]. Research Square. https://doi.org/10.21203/rs.3.rs-7481412/v1

Partani, S., & Arzhangi, A. (2025, August 17). Developing a reliable predictive model for the biodegradability index in industrial complex effluent. Scientific Reports, 15(1), 30108. https://doi.org/10.1038/s41598-025-15866-0

Arzhangi, A., & Partani, S. (2025, August 12). Development of a biodegradability index for urban rivers using detergent concentration: A case study from Tehran, Iran. American Journal of Environmental Science and Engineering, 458, Article 142521. https://doi.org/10.11648/j.ajese.20250903.17

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