HEIstorical Project – Official Launch
21 November 2025
In the month of November, the Faculty of Civil Engineering within Transilvania University of Brașov hosted the launch of HEIstorical - Strengthening green and digital capacities in higher education through collaboration in integrating historical buildings into a sustainable and digital future, a European project financed through the KA220 programme, which is aimed at fostering digital and ecological skills, at enhancing data-driven research, and at providing the required tools and knowledge for the sustainable conservation and restoration of historic and heritage buildings. The project will be implemented by Transilvania University of Brașov in partnership with four other higher-education institutions - Jossip Strossmayer Osijek University of Croatia, Bitlis Eren University of Türkiye, University of Novi Sad, Serbia, and “Politehnica” University of Timișoara. In terms of general objectives, the project proposes the implementation of a model for damage assessment in historic and heritage buildings by applying machine-learning (ML) methods, as well as the artificial intelligence-assisted data analysis, with a view to predicting damage to buildings of historical value.
Data analysis by predictive methods will lead to the creation of guidelines for the prediction of damage to buildings, for structural reinforcement, for the prevention of any potential damage, and for the mitigation of risks to buildings of historical value. The assessment models will be integrated into several already existing curricula, in order to reflect the latest advancements in this field, thereby providing students with up-to-date practical knowledge in the rehabilitation of historic and heritage buildings. Within the project, twenty historic and heritage buildings in five transnational regions will be monitored in order to measure the energy efficiency and microclimate, as well as to record the dynamic parameters of their structures. Furthermore, over 50,000 measurement data will be collected from the sensors installed thereon.
All collected data will have an “open access” regime, thus ensuring future availability for further scientific research, as well a much broader operational application and implementation of the collected data.
