Fixed-term assistant professor
Department of Mechanical and Aerospace Engineering (DIMEAS)
Profile
Research interests
Biography
He obtained his PhD in Mechanical Engineering from the Polytechnic University of Turin in 2023, specializing in the application of Artificial Intelligence techniques for the diagnosis and predictive maintenance of rotating systems, with particular attention to rolling bearings. He carried out experimental work for the development of datasets dedicated to diagnostics, dealing with vibration acquisition, the use of accelerometers, and the definition of condition monitoring protocols. His skills integrate engineering design and AI methods. In the mechanical field, he has experience in structural and dynamic modeling using finite elements with commercial software (Ansys), in CFD simulation and fluid-structure interaction, particularly for hydrodynamic lubrication systems and journal bearings. From 2023 to 2024, he was a Research Assistant at the DIMEAS Department of the Polytechnic University of Turin, working on synthetic data generation using generative networks and on language model (LLM) applications for industrial data analysis. In this context, he gained experience in time series, signal analysis and feature engineering for condition monitoring. Since 2024, he has been a fixed-term researcher at DIMEAS, where he continues his work on predictive maintenance, generative artificial intelligence, advanced condition monitoring, and integration between AI and industrial systems. He is also involved in the development of AI agents to support the diagnosis and maintenance of machinery and the use of Model Context Protocol (MCP) for interfacing between analysis tools and LLMs. In 2025, he worked as a Visiting Researcher at the Universitat Politècnica de Catalunya and the Universitat Politècnica de València, focusing on advanced techniques for condition monitoring and fault diagnosis of electrical machines through vibration, current, and magnetic flux analysis and anomaly detection approaches. He has expertise in data science and machine learning applied to the industrial context: data analysis, noisy dataset management, and the development of machine learning and deep learning models for the diagnostics and prognostics of industrial machines. He uses MATLAB for signal processing and Python for data science and model development, along with visualization tools and advanced AI tools to support coding and algorithm prototyping. He is pursuing an advanced course in business strategy and management, with the aim of integrating technical skills with knowledge of management control, project management and innovation, focusing on the application of Artificial Intelligence in innovative industrial contexts and data-driven business models.
Scientific branch
(Area 0009 - Industrial and information engineering)
Research topics
- Industrial AI for Machine Diagnostics and Predictive Maintenance
- Machine Learning and Generative AI for Modelling and Engineering of Industrial Systems
Skills
ERC sectors
SDG
Open badges
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Effective communication with businesses
Issued by Politecnico di Torino on 15-07-2024
Awards and Honors
- Premio "A. Capocaccia" conferred by AIAS, Società Scientifica Italiana di Progettazione Meccanica e Costruzione di Macchine, Italy (2023)
- Applied Sciences Best Paper Award conferred by Applied Sciences MDPI, Svizzera (2025)
Editorial boards
- MACHINES (2025-2026), Guest Editor of magazine or editorial series
- ELECTRONICS (2024), Guest Editor of magazine or editorial series
Other research or teaching roles outside Politecnico
- Visiting Researcher, presso Universidad Politécnica de Valencia (1/9/2025-30/9/2025)
- Visiting Researcher, presso Universitat Politècnica de Catalunya (7/7/2025-11/7/2025)
- Visiting Researcher, presso Universidad Politécnica de Valencia (1/6/2025-30/6/2025)
Other titles
- Solidworks CSWP-)
- Altair HyperWorks/HyperMesh-)
- Matlab-)
- Ansys-)
Teaching
Collegi of the degree programmes
- Collegio di Ingegneria Meccanica, Aerospaziale e dell'Autoveicolo. Componente invitato
Teachings
Master of Science
- Costruzione di macchine. A.A. 2024/25, INGEGNERIA MECCANICA. Collaboratore del corso
- Machine design. A.A. 2023/24, INGEGNERIA MECCANICA (MECHANICAL ENGINEERING). Collaboratore del corso
- Costruzione di macchine. A.A. 2023/24, INGEGNERIA MECCANICA. Collaboratore del corso
- Costruzione di macchine. A.A. 2022/23, INGEGNERIA MECCANICA. Collaboratore del corso
- Machine design. A.A. 2021/22, INGEGNERIA MECCANICA (MECHANICAL ENGINEERING). Collaboratore del corso
- Machine design. A.A. 2020/21, INGEGNERIA MECCANICA (MECHANICAL ENGINEERING). Collaboratore del corso
- Machine design. A.A. 2019/20, INGEGNERIA MECCANICA (MECHANICAL ENGINEERING). Collaboratore del corso
Bachelor of Science
- Elementi di costruzione di macchine. A.A. 2025/26, INGEGNERIA MECCANICA. Collaboratore del corso
- Elementi di costruzione di macchine. A.A. 2025/26, INGEGNERIA MECCANICA. Collaboratore del corso
- Elementi di costruzione di macchine. A.A. 2024/25, INGEGNERIA MECCANICA. Collaboratore del corso
- Elementi di costruzione di macchine. A.A. 2022/23, INGEGNERIA MECCANICA. Collaboratore del corso
Research
Research groups
Supervised PhD students
- Luca Giraudo. Programme in Ingegneria Meccanica (41st cycle, 2025-in progress)
Publications
Publications by type
PoliTO co-authors
Most cited publications View all publications in Porto@Iris
- Brusa, Eugenio; Cibrario, Luca; Delprete, Cristiana; Di Maggio, Luigi Gianpio (2023)
Explainable AI for Machine Fault Diagnosis: Understanding Features' Contribution in Machine Learning Models for Industrial Condition Monitoring. In: APPLIED SCIENCES, vol. 13. ISSN 2076-3417
Contributo su Rivista - Brusa, E.; Delprete, C.; Di Maggio, L. G. (2021)
Deep transfer learning for machine diagnosis: From sound and music recognition to bearing fault detection. In: APPLIED SCIENCES, vol. 11. ISSN 2076-3417
Contributo su Rivista - Di Maggio, Luigi Gianpio (2023)
Intelligent Fault Diagnosis of Industrial Bearings Using Transfer Learning and CNNs Pre-Trained for Audio Classification. In: SENSORS, vol. 23. ISSN 1424-8220
Contributo su Rivista - Brusa, E.; Bruzzone, F.; Delprete, C.; Di Maggio, L. G.; Rosso, C. (2020)
Health indicators construction for damage level assessment in bearing diagnostics: A proposal of an energetic approach based on envelope analysis. In: APPLIED SCIENCES, vol. 10, pp. 1-24. ISSN 2076-3417
Contributo su Rivista - Brusa, Eugenio; Delprete, Cristiana; Di Maggio, Luigi Gianpio (2023)
Eigen-spectrograms: An interpretable feature space for bearing fault diagnosis based on artificial intelligence and image processing. In: MECHANICS OF ADVANCED MATERIALS AND STRUCTURES, pp. 1-13. ISSN 1537-6494
Contributo su Rivista - DI MAGGIO, LUIGI GIANPIO; Brusa, Eugenio; Delprete, Cristiana (2023)
Zero-Shot Generative AI for Rotating Machinery Fault Diagnosis: Synthesizing Highly Realistic Training Data via Cycle-Consistent Adversarial Networks. In: APPLIED SCIENCES, vol. 13. ISSN 2076-3417
Contributo su Rivista - Delprete, C.; Maggio, L. G.; Sesana, R. (2021)
Theory of critical distances: A discussion on concepts and applications. In: PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS. PART C, JOURNAL OF MECHANICAL ENGINEERING SCIENCE, vol. 235, pp. 5695-5708. ISSN 0954-4062
Contributo su Rivista - Brusa, E.; Delprete, C.; Giorio, L.; Di Maggio, L. G.; Zanella, V. (2022)
Design of an Innovative Test Rig for Industrial Bearing Monitoring with Self-Balancing Layout. In: MACHINES, vol. 10. ISSN 2075-1702
Contributo su Rivista - Giraudo, Luca; Di Maggio, Luigi Gianpio; Giorio, Lorenzo; Delprete, Cristiana (2025)
Dynamic Multibody Modeling of Spherical Roller Bearings with Localized Defects for Large-Scale Rotating Machinery. In: SENSORS, vol. 25, pp. 1-25. ISSN 1424-8220
Contributo su Rivista - Di Maggio, Luigi Gianpio; Gastaldi, Chiara; Renzo, Danilo Antonello; Delprete, ... (2025)
A robust methodology for dataset preparation and algorithm performance assessment in machine learning prediction of the fatigue life of additive manufactured components. In: ENGINEERING WITH COMPUTERS. ISSN 0177-0667
Contributo su Rivista