Eng. Demiso Daba Dugassa | African Expert Database

Professional Summary

Eng. Demiso Daba Dugassa is a water resources and environmental engineering professional, lecturer, researcher, and environmental data applications developer based at Arba Minch University, Ethiopia. He holds an MSc in Sustainable Water Resources Engineering and a BSc in Hydraulic and Water Resources Engineering from Arba Minch University, supported by software engineering training through ALX Africa. His professional work combines hydrology, watershed management, climate variability analysis, hydro-climatic modeling, GIS, remote sensing, Python programming, machine learning, and environmental data science. He has contributed to CMIP7 climate model benchmarking through the CMIP7 Model Benchmarking Task Team and develops Python-based tools such as AWTICode for climate and environmental data preprocessing. His profile is valuable for African water resources research, climate impact assessment, hydrological modeling, environmental data systems, and climate-resilient water management projects.

Key Expertise

Hydrology and Watershed Management Sustainable Water Resources Planning and Management Climate Variability and Hydro-Climatic Analysis Rainfall-Runoff Modeling and Streamflow Analysis Climate Impact Assessment and Adaptation Studies CMIP6 and CMIP7 Climate Model Evaluation Rapid Evaluation Framework for Climate Model Benchmarking Remote Sensing and Earth Observation GIS Analysis with ArcGIS and Google Earth Engine Soil Moisture and Hydrological Modeling SMAP-Derived Soil Moisture Analysis Python Programming for Environmental Data Processing Machine Learning and Deep Learning Applications Environmental and Climate Data Visualization Software Engineering for Water, Climate and Environmental Applications

Major Projects and Contributions

AWTICode – Python Tool for Climate Data Preprocessing
Python-based tool for climate data preprocessing, missing-data filling, and climate dataset download workflows, including CHIRPS and other climate datasets.
Rapid Evaluation Framework (REF) for CMIP7
Contribution to systematic CMIP6/CMIP7 climate model evaluation, benchmarking workflows, diagnostics testing, data integration, and validation.
Deep Learning for SMAP-Derived Soil Moisture Uncertainty
Research on deep learning methods for reducing epistemic uncertainty in SMAP-derived soil moisture estimates over the Kulfo Watershed, Ethiopia.
Low-Cost Soil Moisture Sensor for Irrigation Scheduling
Research contribution to the development and testing of a low-cost soil moisture sensor for real-time irrigation scheduling and agricultural water management.
ENSO Effects on Rainfall and Streamflow in the Bilate Watershed
MSc thesis research on the effect of El Niño-Southern Oscillation on rainfall and streamflow in the Bilate Watershed, Ethiopia.