Giulia Delo

Giulia Delo's picture

Ph.D. candidate in Ingegneria Aerospaziale , 37th cycle (2021-2024)
Department of Mechanical and Aerospace Engineering (DIMEAS)

External Collaborator
Department of Mechanical and Aerospace Engineering (DIMEAS)

Profile

PhD

Tutors

Research interests

Aerostructures
Machine learning
Population-based structural health monitoring
Structural dynamics
Structural health monitoring

Biography

Giulia Delo is a PhD student in Aerospace Engineering at the Politecnico di Torino, Italy. Her project aims to develop a reliable Structural Health Monitoring technique using a population-based approach (PBSHM) for reducing failures and creating diagnostic systems across fleets of similar structures. In this framework, the research focuses on transferring data between so-called heterogeneous populations by adopting transfer-learning and domain-adaptation algorithms and assessing structural similarity via graph-based approaches. Additionally, the research program involves experimental activities on a heterogeneous population of small-scale aircraft models for validating the PBSHM approach.

Curriculum

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Skills

SDG

Goal 9: Industry, Innovation, and Infrastructure
Goal 11: Sustainable cities and communities

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Teaching

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

Publications

PoliTO co-authors

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