Ph.D. candidate in Ingegneria Gestionale E Della Produzione , 41st cycle (2025-2028)
Department of Management and Production Engineering (DIGEP)
Profile
PhD
Research topic
Development of a data-driven framework integrating BIM and AI to automate construction site management processes and support decision-making based on heterogeneous data.
Tutors
Keywords
Biography
Following her graduation, she was awarded a research fellowship focused on the application of BIM and AI in construction processes. She is currently enrolled in an Executive PhD (Apprenticeship) in collaboration with Secap S.p.A., where her research addresses the development of data-driven approaches for construction site management. The project aims to enhance operational efficiency, reduce reliance on manual activities, and support decision-making processes in complex and dynamic environments.
The doctoral research specifically focuses on the development of an integrated framework based on Building Information Modeling (BIM), Artificial Intelligence, and Machine Learning techniques, aimed at the automated extraction, structuring, and analysis of heterogeneous data generated throughout the life cycle of construction projects.
The overall objective of the research is to contribute to the transition toward more intelligent, automated, and data-driven construction site management systems, capable of effectively supporting operational decision-making.