Subhomoy Ghosh
Statistician and Computational Scientist
Rostyslav Hryniv
Chair of Applied Mathematics and Statistics
The project is aimed at developing an algorithm for detecting eruptions from Russian missile and artillery shelling of agricultural lands of Ukraine using machine learning methods. The task of the project is to develop an application that can automatically analyze satellite images of agricultural land, identify dangerous areas with potentially unexploded charges and determine the intensity of shelling of these areas during the Russian invasion.