Svolgimento dell’attività: “Definizione di modelli predittivi basati su tecniche di apprendimento automatico e deep learning per produrre avvisi precoci riguardanti la salute strutturale di infrastrutture critiche a partire da fonti di dati multiple ed eterogenee” sotto il responsabile scientifico Dott. Giovanni Paragliola.
Contratto a tempo determinato: dal 10/06/2024 al 10/06/2025 con rinnovo fino al 28/02/2026. Assegno di ricerca di tipo “Professionalizzante” bandito ai sensi dell’art.22 della Legge 240 del 30 dicembre 2010 – Bando ICAR-001-2024-NA.
Research program
“DOSSIER: aDvanced mOnitoring SyStem wIth Enhanced secuRity, Settore ERC PE6 “Computer Science and Informatics”, codice progetto P2022C4MAB_PE6_PRIN2022PNRR, CUP B53D23026130001.
Conference
International Conference on Digital Frontiers in Buildings and Infrastructure (DFBI2025). Role: First Author & Presenter. Conference Dates: 12-13 June 2025. Location: TU Delft, The Netherlands.
International Conference on Digital Frontiers in Buildings and Infrastructure (DFBI2025)
Pubblications
- Mineo, Carmelo, et al. “Advanced Monitoring with Enhanced Security in Critical Infrastructures: the DOSSIER framework.” 2024 IEEE International Workshop on Technologies for Defense and Security (TechDefense). IEEE, 2024.
- Paoletti, Michele, Giovanni Paragliola, and Carmelo Mineo. “A Hybrid AVT-FVT Approach for Sensor Optimization in Structural Health Monitoring.” Journal of Sensor and Actuator Networks 15.2 (2026): 31.
- Optimizing Sensor Placement in Structural Health Monitoring for Anomaly Detection (Lecture Notes in Civil Engineering, in the process of being published)
- Signal-Processing-Aware Data Fusion for Unsupervised Structural Anomaly Detection in Long-Term Structural Health Monitoring (review process)
