Ph.D. candidate in Ingegneria Meccanica , 39th cycle (2023-2026)
Department of Mechanical and Aerospace Engineering (DIMEAS)
Adjunct lecturer/Adjunct instructor
Department of Mechanical and Aerospace Engineering (DIMEAS)
Profile
PhD
Tutors
Teaching
Teachings
Master of Science
- Progettazione e fabbricazione additiva per applicazioni aerospaziali. A.A. 2025/26, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Progettazione e fabbricazione additiva per applicazioni aerospaziali. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Petrolo, M.; Candita, G.; Pagani, A.; Carrera, E. (2026)
Evaluation of the Influence of Generalized Variables and Geometry on the Dynamic Response of Structures Using Explainable Machine Learning Techniques. In: ASME 2026 Aerospace Structures, Structural Dynamics, and Materials Conference, Long Beach, CA, USA, 8-10 June, 2026
Contributo in Atti di Convegno (Proceeding) - Petrolo, M.; Candita, G.; Pagani, A.; Carrera, E.; Racionero Sánchez-Majano, A. (2026)
Using Explainable Machine Learning to Support the Modeling Strategies of Composite Structures. In: Artificial Intelligence for Composite Materials Conference, Vancouver, Canada, 5-7 August 2026
Contributo in Atti di Convegno (Proceeding) - Petrolo, M.; Pagani, A.; Carrera, E.; Candita, G. (2026)
Accuracy Prediction of Higher-Order Structural Theories for 1D Aerospace Structures Using Neural Networks. In: 10th CEAS Aerospace Europe Conference and 28th AIDAA International Congress, Torino, 1-4 December 2025, pp. 1176-1180. ISSN 2474-395X. ISBN: 978-1-64490-424-4
Contributo in Atti di Convegno (Proceeding) - Petrolo, M.; Carrera, E.; Pagani, A.; Zappino, E.; Candita, G.; Santori, M.; Zamani Roud ... (2026)
Recent Advancements in the Development of Multifidelity Models using CUF and Machine Learning. In: V International Conference on Mechanics of Advanced Materials and Structures (ICMAMS), Toulouse, France, 1-3 July 2026
Contributo in Atti di Convegno (Proceeding) - Petrolo, M.; Candita, G.; Pagani, A.; Carrera, E. (2026)
Evaluation of Best Structural Theories using Neural Networks and Adaptive Sampling. In: V International Conference on Mechanics of Advanced Materials and Structures (ICMAMS), Toulouse, France, 1-3 July 2026
Contributo in Atti di Convegno (Proceeding)