My work involves integrating deep learning into SHM methodologies, focusing on damage identification, structural assessment, predictive modeling, and optimizing sensor-related strategies. I aim to explore innovative approaches that not only detect anomalies but also predict structural behavior within specific pathologies, contributing to proactive maintenance and the longevity of critical infrastructure.