The project, led by Luca Di Persio for Terranova’s HPA Division, aims to establish a rigorous framework for collaboration between academic research and industrial innovation in Machine Learning, applied stochastic modelling, and Artificial Intelligence. The activities will include scientific advisory, formal problem definition, methodological validation, and scientific valorisation of the results, with a strong focus on the transferability of outcomes to industrial contexts. The work will be structured into three progressive deliverables, covering the scientific framing of the research, the consolidation of methodological results, and the definition of a technically and scientifically grounded roadmap for future developments.
