Dottorando in Intelligenza Artificiale , 38o ciclo (2022-2025)
Dipartimento di Automatica e Informatica (DAUIN)
Profilo
Dottorato di ricerca
Titolo della tesi
Machine Learning Models for Inference from Flow Fields -- Feature Extraction and Data Augmentation in Computational Fluid Dynamics
Tutori
- Giacomo Boracchi
- Maurizio Quadrio
Pubblicazioni
Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- Margheritti, Riccardo; Semeraro, Onofrio; Quadrio, Maurizio; Boracchi, Giacomo (In stampa)
Physics-Based Region Clustering to Boost Inference on Computational Fluid Dynamics Flow Fields. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD, Porto, 15-19 Settembre 2025
Contributo in Atti di Convegno (Proceeding) - Margheritti, Riccardo; Semeraro, Onofrio; Quadrio, Maurizio; Boracchi, Giacomo (2026)
Physics-Based Region Clustering to Boost Inference on Computational Fluid Dynamics Flow Fields. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2025, Porto (PRT), September 15–19, 2025, pp. 3-20. ISSN 1611-3349. ISBN: 9783032061287
Contributo in Atti di Convegno (Proceeding) - Margheritti, Riccardo; Semeraro, Onofrio; Quadrio, Maurizio; Boracchi, Giacomo (2025)
Feature Extraction from Flow Fields: Physics-Based Clustering and Morphing with Applications. In: APPLIED SCIENCES, vol. 15. ISSN 2076-3417
Contributo su Rivista - Margheritti, Riccardo; Schillaci, Andrea; Pipolo, Carlotta; Quadrio, Maurizio; Boracchi, ... (2025)
Leveraging Computational Geometry for Data Augmentation in Medical Flow Fields Classification. In: Engineering Applications of Neural Networks 26th International Conference, EANN 2025, Limassol (CY), June 26–29, 2025, pp. 109-122. ISSN 1865-0929. ISBN: 978-3-031-96199-1
Contributo in Atti di Convegno (Proceeding) - Margheritti, Riccardo; Semeraro, Onofrio; Quadrio, Maurizio; Boracchi, Giacomo (2025)
Combining Physics-Informed Clustering and Deep Learning to Identify Pathologies and Defects from CFD Data. In: Joint event "Euromech Colloquium on Data-Driven Fluid Dynamics" & "2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics", London (UK), Apr 2-4, 2025
Contributo in Atti di Convegno (Proceeding)