Teshale Tirulo Bachore is a Senior Lecturer and Researcher with expertise in Hydrology, Water Resources Management, Geographic Information Systems (GIS), Remote Sensing, Earth Observation, Environmental Modeling, Climate Change, and Machine Learning applications in environmental sciences. He is currently a PhD Candidate in Geo-information and Earth Observation, where his research focuses on integrating remote sensing, machine learning, and hydrological modeling to address complex environmental and water resource challenges.
His doctoral research, titled "An Integrated Remote Sensing and Machine Learning Framework for Enhanced LULC Change Detection and Climate Bias Correction: Hydrological Implications for the Ziway–Shala Basin, Ethiopia," investigates land use and land cover dynamics, climate data bias correction, hydrological responses, and sustainable watershed management using advanced geospatial and data-driven approaches.
His broader research interests include hydrology, watershed management, surface water dynamics, flood susceptibility mapping, climate variability and change, land use and land cover change detection, Earth observation, geospatial analytics, environmental monitoring, machine learning, artificial intelligence in water resources, and sustainable development. He has published and contributed to research in water resources, environmental management, GIS, and remote sensing, with a particular focus on the Ethiopian Rift Valley and East African watersheds.
Through interdisciplinary research, he aims to support evidence-based decision-making, climate resilience, and sustainable management of water and environmental resources at local, regional, and global scales.
DOI: 10.59122/EJWST842
Publication Date: 2026-05-05