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Dr Haniyeh Asadi is a Research Fellow at the University of Central Asia’s Mountain Societies Research Institute. She holds a Ph.D. in Watershed Management Science & Engineering from Sari Agricultural Sciences and Natural Resources University (SANRU), Iran. She earned her Master's degree in Natural Resources Engineering from Tarbiat Modares University and her Bachelor's degree from the University of Mazandaran.
Dr Asadi continued her scientific career as a postdoctoral researcher at Ferdowsi University of Mashhad, Iran, under the guidance of Professor Mohammad Taghi Dastorani and Professor Roy C. Sidle, working on modeling the hydrological connectivity index using smart algorithms.
Over the past decade, her research has focused on various aspects of catchment hydrology, particularly the application of GIS, remote sensing and machine learning techniques in hydrologic studies. Her current expertise lies in the assessment and modeling of sediment in mountainous regions, particularly in areas with snow, glaciers, and permafrost.

Publications
- Haniyeh Asadi, Mohammad T. Dastorani, Roy C. Sidle & Afshin Jahanshahi. A Comparative Assessment of Decision Tree Algorithms for Index of Sediment Connectivity Modelling
- Haniyeh Asadi, Mohammad T. Dastorani, Roy C. Sidle. Estimating index of sediment connectivity using a smart data-driven model
- Haniyeh Asadi, Mohammad T. Dastorani, Roy C. Sidle and Kaka Shahedi. Improving Flow Discharge-Suspended Sediment Relations: Intelligent Algorithms versus Data Separation
- Haniyeh Asadi, Kaka Shahedi, Ben Jarihani and Roy C. Sidle. Rainfall-Runoff Modelling Using Hydrological Connectivity Index and Artificial Neural Network Approach