Dr. Zahra Askari is a postdoctoral researcher in water science whose work focuses on the complex interactions between hydrological processes, sediment dynamics, and climate change. Her research integrates experimental modeling and computational analysis to explore bed-load sediment transport, bed morphology changes, and the hydraulic behavior of open channels under unsteady flow conditions. She has contributed to advancing flood simulation and river discharge forecasting by applying soft computing, hybrid time series models, and machine learning approaches. Her academic interests span sediment transport mechanics, flood control, and the impact of climatic variability on river systems. Dr. Askari has authored and co-authored several publications in international journals such as Applied Water Science, Geosciences, Chinese Soil and Water Conservation, and Acta Geophysica. She is skilled in using advanced analytical and simulation tools, including Flow3D, HECRAS, MATLAB, and Python, to model complex hydraulic and hydrological phenomena. In addition to her research, she has experience teaching subjects related to hydraulic systems and applied mathematics at the university level. Recognized for her academic excellence, she has received awards for outstanding performance during her graduate studies and has served as a reviewer for scientific journals. Her ongoing work contributes to developing sustainable water management strategies and improving predictive modeling techniques for hydrological and environmental applications.
Profiles: Orcid | Google Scholar
Featured Publications
Askari, Z., Samadi-Boroujeni, H., Fattahi-Nafchi, R., Yousefi, N., Eslamian, S., … (2017). Prediction comparison of flow resistance in channels with rounded and angular coarse rough beds. American Research Journal of Civil and Structural Engineering, 3(1), 1–15.
Yousefi, N., Reza, K. S., & Eslamian, S. A. Z. (2016). Estimating width of the stable channels using multivariable mathematical models. Arabian Journal of Geosciences.
Moughani, S. K., Osmani, A., Nohani, E., Khoshtinat, S., Jalilian, T., Askari, Z., … (2024). Groundwater spring potential prediction using a deep-learning algorithm. Acta Geophysica, 72(2), 1033–1054.
Marani-Barzani, M., Eslamian, S., Amoushahi-Khouzani, M., Gandomkar, A., … (2017). Assessment of aridity using geographical information system in Zayandeh-Roud Basin, Isfahan, Iran. International Journal of Mining Science (IJMS), 3(2), 49–61.
Askari, Z., Afzalimehr, H., Singh, V. P., & Fattahi, R. (2015). Prediction of flow velocity near inclined surfaces with varying roughness. International Journal of Hydraulic Engineering, 4(1), 1–9.