Dottorato in Intelligenza Artificiale , 38o ciclo (2022-2025)
Dottorato concluso nel 2026
Tesi:
Machine Learning Models for Inference from Flow Fields -- Feature Extraction and Data Augmentation in Computational Fluid Dynamics (Abstract)
Tutori:
Giacomo BoracchiMaurizio QuadrioPubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Margheritti, Riccardo (2026)
Machine Learning Models for Inference from Flow Fields -- Feature Extraction and Data Augmentation in Computational Fluid Dynamics. relatore: BORACCHI, GIACOMO; QUADRIO, MAURIZIO; , 38. XXXVIII Ciclo, P.: 164
Doctoral Thesis - 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)
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) - 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)
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; Semeraro, Onofrio; Quadrio, Maurizio; Boracchi, Giacomo (2025)
Leveraging Machine Learning for CFD Flow Field Classification. In: DTE & AICOMAS 2025 3rd IACM Digital Twins in Engineering Conference (DTE 2025) & 1st ECCOMAS Artificial Intelligence and Computational Methods in Applied Science (AICOMAS 2025), Paris (FR), 17-21 Feb 2025
Contributo in Atti di Convegno (Proceeding) - Quadrio, Maurizio; Boracchi, Giacomo; Margheritti, Riccardo; Pipolo, Carlotta; ... (2024)
Surgery Planning for the Human Nose: Tackling Anatomic Variability with Machine Learning and CFD. In: 26th International Conference of the Theoretical and Applied Mechanics (ICTAM 2024), Daegu, KOR, 25-30 Aug, 2024
Contributo in Atti di Convegno (Proceeding)