Caroline Gevaert

M-GEO
M-SE
ACQUAL

UN-Habitat estimates that over one billion people around the world live in slums, which are often located in hazard-prone areas.

M-GEO
M-SE
ACQUAL

Deep learning algorithms can achieve great accuracies, but there are also concerns about biases and generalizability to unseen data.

M-GEO
M-SE
ACQUAL

Humanitarian organizations such as the Red Cross Red Crecent and Unicef use risk models to identify vulnerable populations and mitigate the affects of natural disasters.

M-GEO
M-SE
ACQUAL

With the increasing availability of remotely sensed data, there is a pressing need to develop efficient and scalable methods for converting satellite images into useful information.