Ph.D. candidate in Ingegneria Civile E Ambientale , 37th cycle (2021-2024)
Department of Structural, Geotechnical and Building Engineering (DISEG)
Profile
PhD
Thesis title
Artificial Intelligence and reverse engineering for Tunnel
Research topic
Smart analysis of infrastructures through system engineering and AI
Tutors
Research presentation
Research interests
Biography
Teaching
Teachings
Bachelor of Science
- Building Construction Studio A (modulo di Structural mechanics). A.A. 2023/24, ARCHITETTURA (ARCHITECTURE). Collaboratore del corso
Publications
PoliTO co-authors
Last years publications
Publications by type
Latest publications View all publications in Porto@Iris
- Aiello, S.; De Biagi, V.; Chiaia, B.; Alessio, C.; Baccolini, L.; Fantuz, R. (2023)
Analytical study of anomalies in tunnel lining thickness: Critical temperature variations. In: ITA-AITES World Tunnel Congress 2023 (WTC 2023), Athens, Greece, 12-18 May 2023, pp. 2951-2958. ISBN: 9781003348030
Contributo in Atti di Convegno (Proceeding) - Rosso, M. M.; Marasco, G.; Aiello, S.; Aloisio, A.; Chiaia, B.; Marano, G. C. (2023)
Convolutional networks and transformers for intelligent road tunnel investigations. In: COMPUTERS & STRUCTURES, vol. 275. ISSN 0045-7949
Contributo su Rivista - Chiaia, Bernardino; Marasco, Giulia; Aiello, Salvatore (2022)
Innovative strategies to preserve the Italian engineering heritage: the historical tunnels.. In: XX International Forum World Heritage and Ecological Transition, Napoli (Italia);, 8-9-10 Settembre 2022, pp. 158-165. ISBN: 9788849245301
Contributo in Atti di Convegno (Proceeding) - Marasco, Giulia; Rosso, Marco M.; Aiello, Salvatore; Aloisio, Angelo; Cirrincione, ... (2022)
Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects’ Automated Classification. In: 23th International Conference on Engineering Applications of Neural Networks (Engineering Applications and Advances of Artificial Intelligence), Crete, Greece, 17 – 20 June, 2022, pp. 165-176. ISBN: 978-3-031-08222-1
Contributo in Atti di Convegno (Proceeding) - Rosso, M. M.; Marasco, G.; Tanzi, L.; Aiello, S.; Aloisio, A.; Cucuzza, R.; Chiaia, B.; ... (2022)
ADVANCED DEEP LEARNING COMPARISONS FOR NON-INVASIVE TUNNEL LINING ASSESSMENT FROM GROUND PENETRATING RADAR PROFILES. In: 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022), Oslo (NO), 5 - 9 Giugno 2022, pp. 1-10. ISSN 2696-6999. ISBN: 9788412322286
Contributo in Atti di Convegno (Proceeding)