Damage Detection in Historic Masonry Using Computer Vision and AI

This PhD project is part of the CHAI project (Cracking Built Heritage with AI) within the Geomatics Research Group at the Department of Civil Engineering, KU Leuven. The project aims to improve structural analysis and damage prediction of historic masonry buildings by enriching structural models with data from AI-enhanced digital surveying and damage mapping. The candidate will work on the group’s CHAI project with the Materials and Constructions section of the department and the fellow PhD student from that section. The candidate will develop advanced methods for damage detection and extraction in historic masonry buildings and structures from images and point cloud data, using novel AI-based methods.