Published on by Citation Awards
70 / 100
Powered by Rank Math SEO
SEO Score

Mahmoud Mashal | Engineering | Best Researcher Award

University of Tehran | Iran

Dr. Mahmoud Mashal is a distinguished scholar and researcher in Civil Engineering, specializing in Hydraulics, with extensive academic and professional experience spanning several decades. He earned his Ph.D. in Civil Engineering with a focus on Hydraulics from the University of Manchester following his M.Sc. in Irrigation and Drainage Engineering  and B.Sc. in Irrigation Engineering  from Shahid Chamran University of Ahvaz. Throughout his career, Dr. Mashal has been dedicated to advancing research and education in hydraulic structures, water resource management, and irrigation systems. His work integrates theoretical insights with practical applications to address complex challenges in water engineering, sustainable irrigation design, and environmental hydraulics. As a faculty member at the University of Tehran’s Aburaihan Campus, he has played a key role in teaching, mentoring graduate students, and conducting interdisciplinary research aimed at improving the efficiency and sustainability of water systems in arid and semi-arid regions. His scholarly contributions include numerous research papers, conference presentations, and technical reports that have strengthened the field’s understanding of hydraulic modeling, sediment transport, and water flow dynamics. Dr. Mashal’s expertise and leadership have earned him recognition within academic and professional circles, where he continues to contribute to national and international collaborations focused on water resource development and environmental protection. His commitment to innovation and applied research reflects a lifelong dedication to addressing global water challenges and fostering sustainable engineering practices for future generations.
Profile: Orcid | Scopus | Google Scholar

Featured Publications

  • Shokati, H., Mahmoud, M., Noroozi, A. A., Mirzaei, S., Mohammadi-Doqozloo, Z., Nabiollahi, K., Faghizadeh-Mehrjerdi, R., Khosravani, P., Adhikari, R., Hu, L., & Scholten, T. (2025). Comparing UAV-based hyperspectral and satellite-based multispectral data for soil moisture estimation using machine learning. Water, 17(11), 1715.

  • Zanjani, M., Mahmoud, M., & Pour Gholam Amiji, M. (2025). The effect of biochar and irrigation water quality on maize yield and water productivity. Iranian Journal of Irrigation and Drainage, 18(6), 927–936.

  • Ghasemnezhad, S., Nikoo, M. R., Mahmoud, M., Al-Rawas, G., Nazari, R., Azadegan, B., Mishra, A., & Simunek, J. (2025). A copula framework for depth-stratified water quality monitoring in reservoirs. Journal of Water Process Engineering, 2(2), 1–22.

  • Seyed Ali, H., Javadi, S., Mahmoud, M., Azadegan, B., & Havid, K. (2024). Assessment of water, food, and energy efficiency indicators with a nexus approach and sustainable agricultural management. Drought and Climate Change Research, 2(2), 57–76.

  • Shokati, H., Mahmoud, M., Noroozi, A. A., Abkar, A. A., Mirzaei, S., Mohammadi Forough, Z., Faghizadeh-Mehrjerdi, R., Khosravani, P., Nabiollahi, K., & Scholten, T. (2024). Random forest-based soil moisture estimation using Sentinel-2, Landsat-8/9, and UAV-based hyperspectral data. Remote Sensing, 16(11), 1962.

  • Bourbour, H., Abdolahipour, M., Abdollahi, H., & Mahmoud, M. (2024). Barley yield forecasting based on remote sensing data and XGBoost and SVM machine learning algorithms. Journal of Water and Irrigation Management (Journal of Agriculture), 13(4), 1119–1137.

Mahmoud Mashal | Engineering | Best Researcher Award

You May Also Like