Bedru Tareke

Bedru Tareke is a PhD candidate at the University of Twente and holds an MSc in Geoinformation Science and Earth Observation from the same institution. His research focuses on mapping deprived urban areas through Earth observation and artificial intelligence, particularly in cities where reliable ground data is limited. By integrating multi-modal geospatial data with deep learning architectures, he develops scalable methods to identify patterns of urban inequality and provides the data-driven insights necessary to inform global urban policy and infrastructure planning. His research interests include multi-modal data fusion, data-centric AI, and the application of foundation models for large-scale urban mapping.