About
Giulia Delo serves as an External Lecturer and Teaching Assistant at the Department of Structural, Building and Geotechnical Engineering (DISEG) within the School of Engineering at Polytechnic University of Turin. Her academic profile centers on advanced structural health monitoring techniques with specialization in aerospace applications.
Her research focuses on developing Population-based Structural Health Monitoring (PBSHM) methodologies using machine learning approaches. Key research areas include transfer-learning algorithms, domain-adaptation techniques, graph-based structural similarity assessment, and experimental validation using heterogeneous populations of small-scale aircraft models. Her work aims to create robust diagnostic systems for fleets of similar structures to reduce failures and enhance safety.
Analysis of her 10 most recent publications (2024-2025) reveals consistent focus on knowledge transfer across heterogeneous structural populations, inverse finite element methods, and integration of classical modal analysis with modern sensing technologies. Her work bridges aerospace engineering, civil infrastructure monitoring, and machine learning applications.
Her teaching portfolio includes significant contributions as Course Collaborator for multiple Civil Engineering programs, particularly in Structural Mechanics and Dynamics of Structures courses across both Master's and Bachelor's degree programs.
Professionally, she holds an Open Badge certification in advanced Python data structures for machine learning applications and contributes to sustainable development goals related to industry innovation (SDG 9) and sustainable cities (SDG 11). She is also co-inventor of a national/international patent for a motorized protective cover for agrivoltaics systems.
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