Piergiovanni Domenighini

As Leader of the "Complex Digital Models" research group, I coordinate the development of AI-based systems and Digital Twins for critical infrastructures and industrial supply chains. My work focuses on the integration of advanced computational research with the resilience and efficiency of the energy system. Key Responsibilities: Scientific Leadership: Directing a multidisciplinary team dedicated to creating digital models for operational monitoring and structural diagnostics of complex plants. AI & Digital Twin Systems: Overseeing the implementation of solutions for predictive maintenance, risk assessment, and process optimization across industrial and civil sectors. Decision Support: Developing high-fidelity simulation scenarios to support strategic and operational decision-making, including the virtual validation of control strategies. Sector-Specific Advisory: Providing specialist expertise in the Hydrogen and Nuclear energy sectors, ensuring digital models align with the rigorous safety and technical standards of these industries.

Research in the field of hydrogen, electrolyzers powered by renewable sources, their dynamic computational modeling, and the application of machine learning methods for assessing performance deterioration (Digital-twining) Research and coordination activities in the field of nuclear power generation (including both fission and fusion technologies) and their integration into the national energy system. Technical assistance to public administration and participation in ministerial committees for the development of national strategies in energy transition (National Hydrogen Strategy and National Carbon Capture Utilization and Storage CCUS Strategy) Member of the Task Force 5 - Access to Market for SET Plan revision of the European Commission

Assistant Professor of Applied Physics and Thermofluid Dynamics for Mechanical and Civil Engineering programs