Luigi Gianpio Di Maggio

Luigi Gianpio Di Maggio's picture

Fixed-term assistant professor
Department of Mechanical and Aerospace Engineering (DIMEAS)

Profile

Research interests

Artifical intelligence
Bearings (machine parts)
Condition monitoring
Data analytics
Deep learning
Diagnosis of rotating machinery
Fault detection
Image processing
Machine fault diagnosis
Machine learning
Machines design
Predictive maintenance
Signal processing

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

IIND-03/A - Mechanical Design and Machine Construction
(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

PE6_7 - Artificial intelligence, intelligent systems, multi agent systems
PE6_7 - Artificial intelligence, intelligent systems, natural language processing
PE8_4 - Computational engineering
PE8_10 - Industrial design (product design, ergonomics, man-machine interfaces, etc.)
PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
PE8_7 - Mechanical and manufacturing engineering (shaping, mounting, joining, separation)
PE8_7 - Mechanical engineering
PE7_7 - Signal processing

SDG

Goal 9: Industry, Innovation, and Infrastructure
Goal 12: Responsible consumption and production

Open badges

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

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
MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

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

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