M. MBOGA Nicholus

Nicholus Mboga has a background in Geomatic Engineering and is a graduate of Geo-Informatics from University of Twente, Faculty of Geo-information and Earth Observation Science (2017). He joined PAStECA as a PhD student at the Université Libre de Bruxelles for the topic – “Evolution of land use and land cover from historical panchromatic aerial images and recent very high resolution (VHR) satellite imagery for Central Africa” under the supervision of Prof. Eléonore Wolff. The first part of his project entails employing deep learning methods for the generation of landcover from historical aerial photographs, while the second part involves studying the socio-economic drivers of landuse/cover changes in Central Africa, with a focus on Bukavu, Goma and Uvira in the Democratic Republic of Congo and Bujumbura in Burundi.

Research Gate: https://www.researchgate.net/profile/Nicholus_Mboga2

Deep learning, convolutional neural networks, remote sensing, data analysis, machine learning, image classification, pattern recognition, landcover/use changes...

Chercheur, Doctorant

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