Roberta De Fazio

About me

Roberta De Fazio is a postdoctoral researcher in the Department of Mathematics and Physics at the University of Campania "Luigi Vanvitelli". She is an active member of the Smartists Research Group, where her research focuses on the development of multi-domain methods for predictive maintenance in different industrial sectors (e.g., railway and healthcare). Her interests lie in Predictive Maintenance, Process Mining and Artificial Intelligence.

Roberta earned her Bachelor's Degree in Mathematics, as well as her Master's Degree in Mathematics from the University of Campania Luigi Vanvitelli. As part of her Ph.D. studies, Roberta spent three months as a visiting researcher at Hasselt University in Belgium and six months at a corporate research laboratory with Gematica S.r.l., gaining valuable international and industry experience.

Research

Research interest

The research focuses on improving the reliability of critical systems, in particular, focusing on maintenance aspects of large networked transportation infrastructures:

Critical Infrastructures design and modelling (e.g., rail, automotive, avionics, healthcare)
Analysis techniques for critical systems performance and dependability evaluation
Formal models for fault predictions

The research activities focus on the design and the implementation of analysis techniques that combine model-based and data-driven approaches in AI-intensive contexts (Clinical Decision Support Systems, Digital Twins, Prediction Maintenance) and on the evaluation and assurance of their trustworthiness. In particular, the efforts of the research are devoted to extending existent formalism like Fault Trees, Petri Nets, and Bayesian Networks and to the application and comparison with Process Mining (traditional and Object-Centric) and machine learning algorithms for Prognostic Health Monitoring.

Research projects

Sistema di sUpporto Decisionale per la diagnosi precoce e il follow-up di pazienti affetti da Valvole Uretrali Posteriori (SUD4VUP), funded by Ecosistema RAISE – Spoke 2 2024/25
aDversarial scenArios geneRation With dIgital twiNs In induSTry (DARWNIST), funded by the young researchers programme, Università della Campania "Luigi Vanvitelli" 2022/23.

Education

PhD in Mathematics, Physics and Engineering Applications — University of Campania 'Luigi Vanvitelli' (Dec 2021 - Feb 2025)
M.Sc. in Mathematics (with Honors) — University of Campania 'Luigi Vanvitelli' (Sep 2019 - Jul 2021)
B.Sc. in Mathematics (with Honors) — University of Campania 'Luigi Vanvitelli' (Sep 2015 - Mar 2019)

Publications

A Unifying Approach for Digital Twins in Healthcare: Perspectives and Experiences
R. De Fazio, C. Nespolino, S. Marrone, L. Verde
In Digital Transformation in Healthcare Systems for Patient Care. Intelligent Systems Reference Library (2025), vol. 279
Reproducible Machine Learning-Based Voice Pathology Detection: Introducing the Pitch Difference Feature
J. Vrba, J. Steinbach, T. Jirsa, L. Verde, R. De Fazio, N. Homma, Y. Zeng, K. Ichiji, L. Hájek, Z. Sedláková, J. Mareš
Journal of Voice
Towards Hepatic Cancer Detection with Bayesian Networks for Patients Digital Twins Modelling
R. De Fazio, A. Bartoş, V. Leonetti, S. Marrone, L. Verde
Procedia Computer Science (2024). 246, 5104-5113.
HEAR set: A ligHtwEight acoustic paRameters set to assess mental health from voice analysis
L. Verde, F. Marulli, R. De Fazio, L. Campanile, S. Marrone
Computers in Biology and Medicine 182, 109021 (2024).
Beyond the Hype: Toward a Concrete Adoption of the Fair and Responsible Use of AI
L. Campanile, R. De Fazio, M. Di Giovanni, F. Marulli
CEUR Workshop Proceedings of the Ital-IA, Naples, May 29-30, 2024. pp. 106-111.
Towards an extension of Fault Trees in the Predictive Maintenance Scenario
R. De Fazio, S. Marrone, L. Verde, V. Reccia, P. Valletta
2024 19th European Dependable Computing Conference (EDCC). April 8-11 2024, Leuven.
CaseID Detection for Process Mining: A Heuristic-Based Methodology
R. De Fazio, A. Balzanella, S. Marrone, F. Marulli, L. Verde, V. Reccia, P. Valletta
Process Mining Workshops. ICPM 2023. Lecture Notes in Business Information Processing, vol 503.
Merging Model-Based and Data-Driven Approaches for Resilient Systems Digital Twins Design
L. Campanile, M.S. de Biase, R. De Fazio, M. Di Giovanni, F. Marulli, L. Verde
2023 IEEE International Conference on Cyber Security and Resilience (CSR), pp. 301-306.
Inferring Emotional Models from Human-Machine Speech Interactions
L. Campanile, R. De Fazio, M. Di Giovanni, S. Marrone, F. Marulli, L. Verde
Procedia Computer Science 225, 1241-1250, 27th International Conference KES 2023.
A Petri net oriented approach for advanced building energy management systems
S. Marrone, L. Campanile, R. De Fazio, M. Di Giovanni, U. Gentile, F. Marulli, L. Verde
Journal of Ambient Intelligence and Smart Environments, vol. 15, no. 3, pp. 211-233 (2023).
Explainabilty comparison between random forests and neural networks—case study of amino acid volume prediction
R. De Fazio, R. Di Giovannantonio, E. Bellini, S. Marrone
Information 2023, 14(1), 21.

Show more Show less

Activities

Tutoring and/or teaching

2022-today: Academic Tutor of "Fondamenti di Informatica" (Fundamentals of Programming) at the bachelor's degree in "Mathematics" (8 CFU)
2022-2023: Co-Supervisor Bachelor's Degree Thesis in Basi di Dati e Sistemi Informativi (Databases and Information Systems)"Improvement of beam quality particles in linear accelerators" – Dott.ssa Erica Ferrone

Organizing Committee

2nd Invited Session on Leveraging Digital Twins in Healthcare (LDTH) @KES - Osaka (Japan), Sep 10-12, 2025
Workshop on Innovative Medical image Processing with AI-driven preCision Technologies (IMPACT) @ICIAP - Rome (Italy), Sep 15-16, 2025
Invited Session on Leveraging Digital Twins in Healthcare (LDTH) @KES - Seville (Spain), Sep 11-13, 2024
Contemporary Algebraic and Geometric Techniques in Coding Theory and Cryptography virtual summer school, July 18-22, 2022

Program/Technical Committee

Invited Session on Intelligent Critical Infrastructures @KES - Athens (Greece), Sep 6-8, 2023

Journal/Conference Reviewing

Reliability Engineering & System Safety, ISSN: 0951-8320
Computers in Biology and Medicine, ISSN: 0010-4825
Scientific Reports, ISSN: 2045-2322
Discover Applied Sciences, ISSN: 3004-9261, formerly "SN Applied Sciences"
Mathematics and Computers in Simulation, ISSN: 0378-4754
Journal of Computational Mathematics and Data Science, ISSN: 2772-4158
Journal of Infrastructure, Policy and Development, ISNN: 2572-7931
Int. Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024, 2025)
IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2023)

Skills & Expertise

Research Areas

Predictive Maintenance
Process Mining
Artificial Intelligence
Digital Twins
Critical Infrastructures

Technical Skills

Machine Learning
Data Analysis
Python
R
SQL

Tools & Technologies

TensorFlow
PyTorch
Scikit-learn
Git
LaTeX

Contacts

roberta.defazio@unicampania.it

Dept. of Mathematics and Physics, University of Campania Luigi Vanvitelli

Viale Abramo Lincoln, 5, 81100 Caserta CE, Italy