My research work combines theoretical advancements with practical applications, contributing to fields such as population mapping. As a researcher, I specialize in computer vision and remote sensing, with a focus on super-resolution techniques. I developed POMELO, a system for super-resolving African population census data and have also innovatively combined deep learning with anisotropic diffusion to enhance monocular depth images. In my earlier works, I employed neural ordinary differential equations to model the satellite time series for crop classification.Download my CV here.
ETH ZürichSep. 2021 - present
PhD student at the Photogrammetry and Remote Sensing Lab, ETH Zürich
ETH Zürich2016 - 2021
Bachelor's and Master's degree in Geomatics
What i'm doing
Time Series Analysis
Thanks for the template