Ph.D. candidate in Ingegneria Civile E Ambientale , 37th cycle (2021-2024)
Department of Structural, Geotechnical and Building Engineering (DISEG)
External Collaborator
Department of Structural, Geotechnical and Building Engineering (DISEG)
Profile
PhD
Thesis title
Advanced Deep Learning Models for Acoustic Event Detection in Prestressed Concrete Bridge Monitoring
Tutors
Publications
Latest publications View all publications in Porto@Iris
- Farhadi, Sasan; Tatullo, Samuele; Ferrian, Francesco (2025)
Comparative analysis of ensemble learning techniques for enhanced fatigue life prediction. In: SCIENTIFIC REPORTS, vol. 15, pp. 1-18. ISSN 2045-2322
Contributo su Rivista - Farhadi, Sasan; Corrado, Mauro; Ventura, Giulio (2024)
Acoustic Event-Based Prestressing Concrete Wire Breakage Detection. In: PROCEDIA STRUCTURAL INTEGRITY, vol. 64, pp. 549-556. ISSN 2452-3216
Contributo su Rivista - Farhadi, S.; Corrado, M.; Ventura, G. (2024)
Automated acoustic event-based monitoring of prestressing tendons breakage in concrete bridges. In: COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, pp. 1-21. ISSN 1093-9687
Contributo su Rivista - Farhadi, Sasan; Tatullo, Samuele; Boveiri Konari, Mina; Afzal, Peyman (2024)
Evaluating StackingC and ensemble models for enhanced lithological classification in geological mapping. In: JOURNAL OF GEOCHEMICAL EXPLORATION, vol. 260, pp. 1-14. ISSN 0375-6742
Contributo su Rivista - Farhadi, S.; Corrado, M.; Borla, O.; Ventura, G. (2024)
Prestressing wire breakage monitoring using sound event detection. In: COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, vol. 39, pp. 186-202. ISSN 1467-8667
Contributo su Rivista