

I am Biniam Adane Bayehi, dedicated in Hydraulic Engineer, Lecturer, and Researcher with an MSc in Hydraulic Engineering from Jimma University and a BSc in Water Resources & Environmental Engineering from Bahir Dar University. As a Lecturer and Researcher at the University of Gondar since 2014, I am responsible for teaching, advising undergraduate and postgraduate students, coordinating teaching-learning processes, and actively participating in research and community service projects.
My expertise covers the study, design and supervise of water resource projects, with a strong focus on irrigation schemes and hydrology. Notable achievements include my study on the performance assessment of small-scale irrigation schemes, notably my Master's thesis, and research grants on water resource potential assessment. I am proficient in a range of advanced tools and software such as ArcGIS, QSWAT+, AutoCAD, HEC-HMS, HEC-RAS, QGIS, and Python for comprehensive hydrological modeling and analysis.
In 2022, I was awarded the University of Gondar's mega research grants for project “Irrigation land and water resources potential assessment on Shinfa Sub-Basin, Abbay Basin, Ethiopia". I had also contributed to significant projects such as design and setting out work for the Seqouta declaration Agro-industrial, Technology and Education Training Center and provided training for graduate students on irrigation project design using specialized software.
Previous publications:
1. Applying Geospatial Technique for Land Suitability Assessment for Surface Irrigation in Shinfa River Basin, Ethiopia, Accepted for publication in Elsevier's Water-Energy Nexus.
2. Evaluation of stream flow response to climate change in the data-scarce region, Ethiopia, Published in Springer Nature's Sustainable Water Resource Management
3. Performance Assessment of Small-Scale Irrigation Schemes: A Case Study of Upper Blue Nile, East Dangila Woreda, Ethiopia - Published in 2020.
Currently, my research focuses on surface water assessment and groundwater recharge using QSWAT+ model using GEE platform data extracted techniques as input for sustainable development. I am developing a proposal to leverage deep learning models (AI) for predicting future floods and droughts in climate-vulnerable regions such as Tekeze Basin in Ethiopia. The aim is to enhance disaster preparedness, optimize water resource management, and strengthen climate change adaptation and resilience.
I am deeply committed to applying my knowledge and expertise to advance water and land resource development in my country.