Cyber-Physical and IoT Systems Design · University of Verona

Research interests

Cyber-physical production systems · Production optimisation and reconfiguration · Model-Based Systems Engineering · Digital twins · Service-oriented manufacturing

Sebastiano Gaiardelli is a Postdoctoral Researcher at the Technical University of Munich, where he works at the Chair of Cyber-Physical Systems in Production Engineering. He completed his PhD in Computer Science at the University of Verona with the thesis “Dynamo: A Framework to Verify, Optimize and Reconfigure Flexible Manufacturing Systems”, after MSc and BSc studies in Computer Science and Engineering at Verona.

His research focuses on making cyber-physical production systems adaptable without losing a rigorous model of their constraints and behaviour. He has worked on production scheduling, reconfiguration and optimisation; hierarchical and graph-based models of manufacturing processes; Model-Based Systems Engineering; service-oriented manufacturing architectures; and the integration of engineering models with ontologies. In DeFacto, this work contributed to design-automation techniques for flexible smart factories.

Sebastiano has also worked on industrial monitoring, anomaly detection and digital-twin infrastructure, including the GLACIER and Frost research lines. These activities connect executable models of production equipment with data services and control software so that alternative configurations can be analysed and tested before changes reach the plant. He is also a co-founder and scientific advisor of FACTORYAL S.r.l., a University of Verona spin-off focused on factory-automation software.

Publications

2024

  1. A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring

    Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Franco Fummi, Santa Di Cataldo, Sara Vinco

    ICIT

  2. A Multi-Material and Multi-Scenario Dataset for Additive and Subtractive Manufacturing Operations

    Mohammad Uddin, Sebastiano Gaiardelli, Michele Lora, Dong Seon Cheng, Franco Fummi

    ETFA

  3. An AI-Enabled Framework for Smart Semiconductor Manufacturing

    Khaled Sidahmed Sidahmed Alamin, Davide Appello, Alessandro Beghi, Nicola Dall'Ora, Fabio Depaoli, Santa Di Cataldo, Franco Fummi, Sebastiano Gaiardelli, Michele Lora, Enrico Macii, Alessio Mascolini, Daniele Pagano, Francesco Ponzio, Gian Antonio Susto, Sara Vinco

    DATE

  4. Design Automation for Cyber-Physical Production Systems: Lessons Learned from the DeFacto Project

    Michele Lora, Sebastiano Gaiardelli, Chanwook Oh, Stefano Spellini, Pierluigi Nuzzo, Franco Fummi

    DATE

  5. Enabling Service-Oriented Manufacturing Through Architectures, Models, and Protocols

    Sebastiano Gaiardelli, Stefano Spellini, Marco Panato, Carlo Tadiello, Michele Lora, Dong Seon Cheng, Franco Fummi

    IEEE Access

  6. Integrating Modeling Languages with Ontologies in the Context of Industry 4.0

    Mario Libro, Sebastiano Gaiardelli, Michele Lora, Franco Fummi

    ICIT

  7. RRPDG: A Graph Model to Enable AI-Based Production Reconfiguration and Optimization

    Sebastiano Gaiardelli, Michele Lora, Stefano Spellini, Franco Fummi

    IEEE Trans. Ind. Informatics

  8. VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge

    Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi

    DAC

2023

  1. Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper

    Luigi Capogrosso, Alessio Mascolini, Federico Girella, Geri Skenderi, Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Santa Di Cataldo, Sara Vinco, Enrico Macii, Franco Fummi, Marco Cristani

    FDL

  2. Robotic Arm Dataset (RoAD): A Dataset to Support the Design and Test of Machine Learning-Driven Anomaly Detection in a Production Line

    Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi

    IECON

2022

  1. A Hierarchical Modeling Approach to Improve Scheduling of Manufacturing Processes

    Sebastiano Gaiardelli, Stefano Spellini, Michele Lora, Franco Fummi

    ISIE

  2. A Software Architecture to Control Service-Oriented Manufacturing Systems

    Sebastiano Gaiardelli, Stefano Spellini, Marco Panato, Michele Lora, Franco Fummi

    DATE

  3. Integrating Smart Contracts in Manufacturing for Automated Assessment of Production Quality

    Sebastiano Gaiardelli, Stefano Spellini, Michele Pasqua, Mariano Ceccato, Franco Fummi

    IECON

  4. On the Impact of Transport Times in Flexible Job Shop Scheduling Problems

    Sebastiano Gaiardelli, Damiano Carra, Stefano Spellini, Franco Fummi

    ETFA

  5. SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing

    Khaled Sidahmed Sidahmed Alamin, Yukai Chen, Sebastiano Gaiardelli, Stefano Spellini, Andrea Calimera, Alessandro Beghi, Gian Antonio Susto, Franco Fummi, Enrico Macii, Sara Vinco

    LATS

2021

  1. Enabling Component Reuse in Model-based System Engineering of Cyber-Physical Production Systems

    Stefano Spellini, Sebastiano Gaiardelli, Michele Lora, Franco Fummi

    ETFA

  2. Modeling in Industry 5.0 - What Is There and What Is Missing - Special Session 1 - Languages for Industry 5.0

    Sebastiano Gaiardelli, Stefano Spellini, Michele Lora, Franco Fummi

    FDL

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