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I am a postdoctoral researcher at the Department of Engineering for Innovation Medicine, University of Verona, focusing on analog abstraction, mixed-signal simulation, and networked Cyber-Physical Systems (NCPSs). My work combines methodological innovation with practical applications, targeting functional safety and design automation for Industry 4.0.

Recently, my research has strongly expanded into Artificial Intelligence for industrial sensing. I focus on bridging the gap between embedded hardware and advanced machine learning by exploring Physics-Informed Neural Networks (PINNs), multimodal time-series fusion, and split computing to build trustworthy, deployable AI for edge devices and Industry 5.0 applications.

During my Ph.D., I developed a novel abstraction methodology that transforms analog components into C/C++ models, significantly reducing simulation time. This work was published in TCAD and DATE and applied during an industrial research stay at ON Semiconductor Belgium under Dr. Renaud Gillon. I completed my Ph.D. in Computer Science (2019) at the University of Verona under the supervision of Prof. Franco Fummi. During the final stage of my doctoral studies, I spent time at Duke University's Pratt School of Engineering, refining my thesis.

I am currently the recipient of a Marie Skłodowska-Curie Global Fellowship awarded by the European Commission under the Horizon Europe program. The funded project, STRATEGUS (STRATEgic GUide to Smart manufacturing), is a joint collaboration between Prof. Franco Fummi at the University of Verona and Prof. Samarjit Chakraborty at the University of North Carolina at Chapel Hill. Together, we investigate novel methodologies for the simulation and safety assessment of complex, mixed-signal, and networked embedded platforms, with the goal of advancing functional safety and predictive intelligence in smart manufacturing.

Selected Publications

Edge AI & Machine Learning

  • Mtl-split: Multi-task learning for edge devices using split computing
    L. Capogrosso, E. Fraccaroli, S. Chakraborty, F. Fummi, M. Cristani
    Proceedings of the 61st ACM/IEEE Design Automation Conference (DAC), 2024

  • Enhancing split computing and early exit applications through predefined sparsity
    L. Capogrosso, E. Fraccaroli, G. Petrozziello, F. Setti, S. Chakraborty, F. Fummi, M. Cristani
    Forum on Specification & Design Languages (FDL), 2024

  • Controllers for edge-cloud cyber-physical systems
    T. Zhu, P. Ganguli, A. Gupta, S. Xu, L. Capogrosso, E. Fraccaroli, M. Cristani, S. Chakraborty
    17th International Conference on COMmunication Systems and NETworks (COMSNETS), 2025

Industry 5.0, Digital Twin & Data Fusion

  • Process mining-driven modeling and simulation to enhance fault diagnosis in cyber-physical systems
    F. Vitale, N. Dall'Ora, S. Gaiardelli, E. Fraccaroli, N. Mazzocca, F. Fummi
    Journal of Manufacturing Systems, 2026

  • Human-Centered Digital Twin for Industry 5.0
    F. Biondani, L. Capogrosso, N. Dall'Ora, E. Fraccaroli, M. Cristani, F. Fummi
    Design, Automation & Test in Europe Conference (DATE), 2025

  • A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring
    S. Gaiardelli, N. Dall'Ora, F. Ponzio, E. Fraccaroli, F. Fummi, S. Di Cataldo, E. Macii, A. Acquaviva
    IEEE International Conference on Industrial Technology (ICIT), 2024

Hardware, Reliability & Simulation

  • EDACurry: A Multi-Language Framework to Create, Translate, and Manipulate Transistor-Level Netlists
    N. Dall'Ora, E. Fraccaroli, R. Gillon, F. Fummi
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025

  • Quantitative safety-driven co-synthesis of cyber-physical system implementations
    C. Hobbs, S. Xu, B. Ghosh, E. Fraccaroli, P.S. Duggirala, S. Chakraborty
    IEEE, 2024

Academic Positions

  • Marie Skłodowska-Curie Fellow - Global Fellowship
    Dept. of Engineering for Innovation Medicine, University of Verona (Italy)
    & Dept. of Computer Science, UNC Chapel Hill (USA)
    01/10/2023 - 30/09/2026
    Project: STRATEgic GUide to Smart manufacturing (STRATEGUS)
    [HORIZON-MSCA-2022-PF-01-101109243]

  • Postdoctoral Research Fellowship
    Dept. of Computer Science, UNC Chapel Hill (USA)
    24/01/2022 - 30/09/2023
    Project: Distributed embedded system design and optimization in the context of Industry 4.0

  • Postdoctoral Research Fellowship
    Dept. of Computer Science, University of Verona (Italy)
    15/10/2019 - 31/12/2021
    Project: Hardware techniques for the automatic classification of data with functional safety characteristics

  • Postdoctoral Research Fellowship
    Dept. of Computer Science, University of Verona (Italy)
    15/10/2018 - 14/10/2019
    Project: Wearable IoT for FoG Prevention of Parkinson's Patients (BIPBIP)

Education

  • Ph.D. in Computer Science
    Dept. of Computer Science, University of Verona - Italy
    08/09/2015 - 14/05/2019

    Thesis: A Holistic Approach to Functional Safety for Networked Cyber-Physical Systems
    Advisor: Prof. Franco Fummi

  • Master's Degree in Computer Science and Engineering
    Dept. of Computer Science, University of Verona - Italy
    10/10/2012 - 19/03/2015

    Thesis: Optimizing Virtual Platform Integration for Smart System Simulation
    Advisor: Prof. Davide Quaglia

  • Bachelor's Degree in Computer Science
    Dept. of Computer Science, University of Verona - Italy
    15/09/2008 - 21/03/2012

    Thesis: Construction of a data warehouse to support screening of neonatal metabolic diseases
    Advisor: Prof. Carlo Combi

Teaching & Mentoring

  • Contract Professor - Computer Science (Laboratory)
    Dept. of Electronics, Computer Science and Bioengineering, Politecnico di Milano (Italy)
    Bachelor's degree in Mechanical Engineering
    • Academic Year: 2019-2020
    • Academic Year: 2020-2021
  • Contract Professor - Operating Systems (Laboratory)
    Dept. of Computer Science, University of Verona (Italy)
    Bachelor's degree in Computer Science and Engineering
    • Academic Year: 2019-2020
  • Instructor - Design Automation of Embedded Systems (Laboratory)
    Dept. of Computer Science, University of Verona (Italy)
    Master's degree in Computer Science and Engineering
    • Academic Year: 2015-2016
    • Academic Year: 2016-2017
  • Instructor - Introduction to Computer Architecture and Operating Systems (Laboratory)
    Dept. of Computer Science, University of Verona (Italy)
    Master's degree in Computer Science and Engineering
    • Academic Year: 2015-2016
    • Academic Year: 2016-2017

Service to the Scientific Community

  • Session Chair
    • Learn and Fuzz! - DAC 2024
      ACM/IEEE Design Automation Conference
      [details]
    • Multi-Partner Projects - DATE 2024
      IEEE Design, Automation and Test in Europe Conference
      [details]
    • Intelligent and Flexible Manufacturing - CASE 2022
      IEEE Conference on Automation Science and Engineering
      [details]
    • Roles of Digital Twin in Industry 4.0 - ETFA 2020
      IEEE Emerging Technologies and Factory Automation
      [details]
  • Workshop Organizer
    • National Workshop for Technology Transfer and Higher Education - CINI ESSM
      [details]
  • Guest Editor
    • MDPI Special Issue: Design of Embedded Systems for Wireless Sensor Networks - Sensors, 2021
      [details]
  • Conference Committee Roles
    • Publication Chair - FDL 2019
      [details]
    • Multimedia Chair - FDL 2017
      [details]
    • Organizing Committee Member - ICEAA 2017
      IEEE International Conference on Electromagnetics in Advanced Applications
      [details]

Reviewing Service

  • Journals:
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD),
    IEEE Transactions on Computers (TCOMP),
    IEEE Transactions on Industrial Informatics (TII),
    MDPI Sensors

  • Conferences:
    ACM/IEEE DAC, IEEE DATE, ICCAD, CODES+ISSS, VLSI-SoC, FDL, ICCD, VLSID,
    ASP-DAC, IWLS, MEMOCODE