Eng. Biniyam Abebe Ersulo

Professional Summary

Ethiopian Hydraulic and Water Resources Engineer with an MSc in Hydraulic Engineering from Arba Minch University and a BSc in Hydraulic and Water Resources Engineering from Jimma University. Eng. Biniyam Abebe Ersulo represents a new generation of water engineers who combine classical hydraulic engineering with modern digital technology, artificial intelligence, machine learning, GIS, hydrologic modelling, flood prediction, and climate-resilient water resources planning. His professional experience includes site engineering, drainage structures, culverts, small-span bridges, irrigation feasibility study and design, rainfall-runoff modelling, hydropower assessment, and numerical modelling for hydraulic systems. His work connects engineering practice, research, software, and climate adaptation, making him a valuable contributor to the future of sustainable water management, renewable energy development, flood resilience, and intelligent water systems in Ethiopia and Africa.

Key Expertise

Major Projects and Contributions

• Site Engineer – Rama Construction
  Served as Site Engineer supervising construction works, including drainage structures, culverts, and small-span bridges. Prepared site reports, progress documentation, and coordinated field activities, strengthening his practical engineering foundation in hydraulic structures and construction supervision.
• Dama Small Scale Irrigation Project Feasibility Study and Design
  Contributed to the Dama Small Scale Irrigation Project feasibility study and design in Bench Maji, Semen Bench Woreda, Ethiopia. The work reflects his professional involvement in irrigation planning, feasibility assessment, and water resources development for agricultural production.
• Rainfall-Runoff Modelling Using Hybrid SCS-Curve Number and Deep Learning
  Prepared research on rainfall-runoff modelling using a hybrid SCS-Curve Number method with deep learning for the Bilate Watershed in Ethiopia. This work connects hydrologic modelling, artificial intelligence, deep learning, and watershed-scale water resources analysis.
• Small-Scale Hydropower Potential Site Identification in the Bilate Watershed
  Conducted research on small-scale hydropower potential site identification in the Bilate Watershed, Ethiopia, supporting renewable energy development, hydrologic assessment, and sustainable water-energy planning.
• Artificial Intelligence and Machine Learning Applications in Flood Prediction
  Focuses on the application of artificial intelligence, machine learning, deep learning, Python, R, TensorFlow, ANN, LSTM, BiLSTM, and GRU methods to improve flood prediction, hydrologic forecasting, and water resources decision support.
• Hydraulic and Hydrologic Modelling with HEC-RAS, HEC-HMS and SWAT PLUS
  Applies hydraulic and hydrologic modelling tools including HEC-RAS, HEC-HMS, and SWAT PLUS for river hydraulics, rainfall-runoff modelling, open-channel flow, watershed processes, flood analysis, and engineering problem solving.
• GIS, Remote Sensing and Google Earth Engine for Water Resources Engineering
  Uses GIS and geospatial tools including ArcGIS, QGIS, remote sensing, and Google Earth Engine to support watershed analysis, hydrologic modelling, site identification, spatial assessment, and engineering planning.
• River Hydraulics, Sediment Transport and Open-Channel Flow Simulation
  Works on technical themes related to river hydraulics, sediment transport, open-channel flow simulation, numerical modelling, and hydraulic structure optimization, supporting safer and more efficient water infrastructure design.
• Hydraulic Structure Design and Construction Supervision
  Has practical experience in hydraulic structure design and site supervision for bridges, culverts, canals, and drainage works, linking engineering design knowledge with real construction-site implementation.
• Water Supply and Emergency WASH Training
  Completed training related to water supply in emergencies and leadership and teamwork, strengthening his capacity to contribute to resilient water systems, emergency water supply support, and coordinated project implementation.
• Software Engineering and Data Science for Water Engineering
  Completed software engineering and data science training, including software development, version control, collaborative coding, and data-driven analysis, supporting his goal of integrating modern computing with hydraulic and water resources engineering.
• Climate-Resilient Water Resources and Sustainable Development
  Pursues professional interests in hydrology, water resources management, hydropower, artificial intelligence, climate resilience, renewable energy, and sustainable development, aiming to build practical solutions for water security and climate adaptation at local and global levels.