Introduction:
PhD student at the University of Bologna, enrolled in the EIT4SEMM doctoral program (40th cycle). His research focuses on Anomaly Detection applied to Structural Health Monitoring, leveraging advanced techniques that integrate artificial intelligence. His activities build on the knowledge and expertise acquired during his Master’s degree in Electronic Engineering, aiming to develop innovative solutions and practical applications in the field of Civil Engineering.
Education:
Master’s Degree in Electronic Engineering (October 2024), University of Bologna.
Bachelor’s Degree in Automation Engineering (March 2022), University of Bologna.
Research Interests:
- Anomaly Detection for Structural Health Monitoring (SHM).
- Integration of artificial intelligence techniques in advanced acquisition systems.
- Practical applications of Electronic Engineering (Signal Processing) in structural safety.
