Fixed-term assistant professor
Department of Mechanical and Aerospace Engineering (DIMEAS)
Profile
Keywords
Biography
He holds a PhD in Mechanical Engineering from Politecnico di Torino (2023), specializing in the application of Artificial Intelligence techniques for the diagnosis and predictive maintenance of rotating systems, with a focus on rolling element bearings. His experimental work contributed to the development of dedicated diagnostic datasets, covering vibration acquisition, accelerometer deployment, and condition monitoring protocol design. His expertise bridges mechanical engineering and AI methods. On the mechanical side, he has experience in structural and dynamic modelling using finite element analysis (Ansys), 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 Politecnico di Torino, working on synthetic data generation via generative networks and on LLM-based applications for industrial data analysis, gaining experience in time series and signal analysis for condition monitoring. Since 2024 he has been a fixed-term Researcher at DIMEAS, continuing his work on predictive maintenance, generative AI, and advanced condition monitoring. He has developed several open source projects in the field of agentic AI for industrial applications, including AI agents for machinery diagnosis and maintenance, and Model Context Protocol (MCP)-based integrations for connecting analytical tools with LLMs. In 2025 and 2026 he was a Visiting Researcher at the Universitat Politècnica de Catalunya and the Universitat Politècnica de València, working on advanced condition monitoring and fault diagnosis of electrical machines through vibration, current, and magnetic flux analysis, with anomaly detection approaches. He has strong data science and machine learning skills applied to industrial contexts: development of machine learning and deep learning models for machinery diagnostics and prognostics, noisy dataset management, signal processing in MATLAB, and Python-based development, supported by advanced AI tools for coding and algorithm prototyping. In 2026 he was awarded a Master in Business Administration (MBA), complementing his technical background with expertise in leadership, entrepreneurship, and business strategy, with a focus on AI applications in industrial settings 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
-
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
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)
Research subject: Industrial rotors: mathematical models and simulation, damage diagnosis/prognosis algorithms, empirical testing of the bearing-rotor system.
Multi-body analysis / Analisi multi-body Vibrations and rotordynamics / Vibrazioni e dinamica dei rotori Machine design / Progetto di macchine Multi-body analysis / Analisi multi-body Vibrations and rotordynamics / Vibrazioni e dinamica dei rotori Machine design / Progetto di macchine
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 - 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 - 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 - 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, L. G. (2025)
Toward Autonomous LLM-Based AI Agents for Predictive Maintenance: State of the Art, Challenges, and Future Perspectives. In: APPLIED SCIENCES, vol. 15. ISSN 2076-3417
Contributo su Rivista