Ph.D. candidate in Ingegneria Meccanica , 39th cycle (2023-2026) Department of Mechanical and Aerospace Engineering (DIMEAS) Docente esterno e/o collaboratore didattico alessio.centola@polito.it Profile PhD Tutors Andrea Tridello Davide Salvatore Paolino Research interests Additive manufacturing (am) Fatigue behaviour Machine learning Skills ERC sectors PE11_2 - Engineering of metals and alloys PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) PE8_7 - Mechanical engineering Teaching Teachings Master of Science Challenge@PoliTo by Firms - ZECA. A.A. 2024/25, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso Research Research groups Mechanics of materials and joints (DIMEAS) Publications PoliTO co-authors Last years publications Publications by type Latest publications View all publications in Porto@Iris Centola, Alessio; Tridello, Andrea; Ciampaglia, Alberto; Berto, Filippo; Paolino, Davide ... (2024)Review on machine learning techniques for the assessment of the fatigue response of additively manufactured metal parts. In: FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, vol. 47, pp. 2700-2729. ISSN 8756-758X Contributo su Rivista
PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
