Main Focus
• Computational Methods for Artistic and Architectural Heritage
• Computer Vision and Deep Learning for Visual Classification
• Digital Representation, Survey, and Photogrammetry
• Byzantine Mosaics and Ornamental Systems
• Visual Knowledge Systems
Curriculum Vitae
Giulia Flenghi is a postdoctoral researcher in the
Machine Visual Culture Group. She completed her doctoral dissertation in
January 2026 at Sapienza University of Rome, within the PhD programme in
History, Representation and Restoration of Architecture.
Entitled Un ecosistema digitale integrato per lo
studio delle decorazioni musive bizantine, her thesis developed an
interdisciplinary framework combining photogrammetry, computer vision, and
knowledge graphs for the analysis, classification, and visualisation of
geometric motifs in Byzantine mosaics. Focusing on monuments in Rome and
Ravenna, the project explored how computational methods can support the study
of ornamental systems while preserving their historical and formal complexity.
Her broader research interests lie at the intersection of art history, artificial intelligence, architectural representation, and digital humanities. She is particularly interested in image analysis, machine vision, pattern recognition, and the use of computational tools for the interpretation of artworks, architecture, and cultural heritage. Her current work investigates how AI-based methods reshape the ways images and visual artefacts are studied, classified, and experienced.