European, national and regional initiatives connecting methodological research with high-impact application domains.
Our interactive Atlas complements the projects portfolio with a nationwide geographic view of the PRIN 2026, PRIN Hybrid and PRIN Synergy programmes.
A modular, domain-independent Digital Twin framework combining generative models with collaborative intelligent agents. PI: Francesco Piccialli. Funded start-up research phase: 24 months.
Project overview →
Federated, edge-based platform integrating Federated Learning and Digital Twins for privacy-preserving AI in advanced manufacturing, energy and healthcare.
Integrated Edge–Cloud–HPC ecosystem for Digital Twin-enabled Smart Ecosystems across health, climate, mobility and AI.
Doctoral network on sustainable and trustworthy AI for smart manufacturing, smart cities, healthcare and mobility.
AI framework for fuel-efficient maritime operations, weather routing and operational optimisation using high-performance computing.
AI-driven platform for structured analysis of ESG data using analytics, NLP and Large Language Models.
Methods for non-IID Federated Learning, combining generative strategies, edge computing and mechanisms for data integrity.
Deep learning methods to detect precursory seismic patterns and reduce subjectivity in induced-seismicity analysis.
AI-driven competence assessment and personalised learning paths to support digital transition and sustainability in SMEs.
Strengthening Italian bioinformatics infrastructure and services for advanced omics data generation and analysis.
Transmedial ecosystem combining IoT, machine learning, recommender systems and Big Data analytics for tourism and cultural processes.
Interdisciplinary work combining biochemistry, chemistry and informatics for intelligent biosensors and monitoring.
Evolution of healthcare booking services through interoperability, analytics and KPI-based decision support.
AI-assisted fine sorting for mechanical recycling of polyolefin waste, integrating GPC-IR characterization with learned molecular fingerprints.
An industrial model for knowledge sharing, supervision, maintenance, training and quality assurance through mixed reality and machine learning.
PDE-based mathematical models for heat conduction, diffusion and radiation supporting thermal insulation and energy-efficient building design.
