First Workshop in the framework of the project PRIN 2022 MUR - UTMOST FDD
On 23 April 2025, the first workshop of the PRIN 2022 MUR - UTMOST FDD project took place at the RIAS Laboratory of the University of Campania “Luigi Vanvitelli”. The event was organized within the framework of the project “aUToMated, Open, Scalable and Transparent Fault Detection and Diagnosis for air-handling units based on a hybrid expert and artificial intelligence approach”, funded by the Italian Ministry of University and Research.
The workshop represented an important opportunity to present the scientific objectives of the project and to discuss current research activities related to automated fault detection and diagnosis in HVAC systems. Particular attention was given to the development of hybrid methodologies that combine artificial intelligence techniques with expert knowledge to improve the reliability and scalability of diagnostic tools for building energy systems.
The event opened with institutional greetings from Ornella Zerlenga, Director of the Department of Architecture and Industrial Design at the University of Campania “Luigi Vanvitelli”. The workshop was then introduced by Antonio Rosato, Co-Principal Investigator of the PRIN 2022 MUR - UTMOST FDD project.
During the workshop, several members of the research team presented ongoing activities and perspectives of the project. Contributions were delivered by Alfonso Capozzoli, Principal Investigator of the project from Politecnico di Torino, Marco Savino Piscitelli, researcher at Politecnico di Torino, Mohammad El Youssef, research fellow at the University of Campania “Luigi Vanvitelli”, and Rita Mercuri, PhD student at the same institution.
The presentations illustrated the main research challenges addressed by the project, including the development of transferable fault detection strategies, the definition of performance indicators for assessing fault impacts, and the creation of open experimental datasets and digital twin models of air handling units.
By bringing together researchers and doctoral students working on building energy systems, the workshop contributed to strengthening collaboration and promoting knowledge exchange within the scientific community involved in advanced HVAC diagnostics and intelligent energy management systems.
The event also marked an important milestone in the dissemination activities of the UTMOST FDD project, fostering discussion on innovative approaches for improving the reliability, efficiency and sustainability of building energy systems.
locandina_workshop PRIN22 
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Acknowledgements
The project is funded by the European Union in the framework of the initiatives "Next Generation EU"
