Getnet Demil

I am a PhD researcher at the Faculty of Information Technology and Electrical Engineering (ITEE), University of Oulu, working at the intersection of Geospatial AI, remote sensing, and computer vision. My research develops deep learning and multimodal fusion frameworks that extract environmental intelligence from multi-sensor Earth observation data - combining SAR, optical, multispectral, and auxiliary data sources to monitor and model our changing planet.

I work across the full EO pipeline: from multi-sensor and multimodal data fusion (Sentinel-1 SAR, Sentinel-2, DEM, reanalysis) to computer vision architectures for semantic segmentation and scene understanding, through to adapting geospatial foundation models for downstream environmental tasks. Applications span hydrology, land cover mapping, environmental change detection, and climate impact assessment.

My academic path spans six countries - BSc and MSc at Bahir Dar University (Ethiopia), an Erasmus Mundus Joint MSc in Image Processing & Computer Vision across France, Spain, and Hungary, and research secondments at RISE Sweden and University of Florida TREC. I am co-organising the HydroImaging Workshop at IEEE ICIP 2026 (Tampere, Finland) and contribute actively to the GeoAI community through publications, open-source tools, and conference presentations.