Education
- Master's Degree in Computer Engineering (LM-32), University of Catania, 2023.
- Thesis: "Integration of OMNeT++, SUMO, and Veins for performance analysis of a cooperative 5G/6G vehicular network."
- Bachelor's Degree in Computer Engineering (L-8), University of Catania, 2020.
- Thesis: "Performance study of a 5G-based vehicular data network using radio coverage: simulator implementation and numerical analysis."
Courses
- Appian Developer, 2024.
- Robotic Process Automation, 2021.
- Digital Management, 2020.
- Internet of Things, 2018.
Work Experience
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Since 2020, Software Programmer, Wireless Cloud S.r.l.
Research Projects
- Smart Monitoring IoT Learning Ecosystem (SMILE) - MISE Smart Factory (August 2021 - September 2023).
- Activities: Anomaly detection techniques based on Machine Learning.
- Smart Road 4.0 - POR Sicilia 115 (August 2020 - July 2021).
- Activities: Cloud structure analysis for data management and creation of managed services with role-based paradigm.
My research project aims to explore how technological innovation, through the use of Artificial Intelligence and Computer Vision, can contribute to improving quality of life and ensuring greater safety in both healthcare and investigative fields.
The research activity focuses on the study and development of advanced Machine Learning and Deep Learning algorithms, with particular attention to the analysis of data collected from video surveillance systems and heterogeneous acquisition devices. These data are essential in the healthcare sector, where they enable the monitoring and management of critical situations, enhancing the safety and well-being of both patients and healthcare personnel. In the investigative sector, they support the development of solutions designed to strengthen the analytical and operational capabilities of law enforcement agencies.
The overarching goal is to provide timely and effective decision-making support in highly complex contexts.
Keywords: Artificial Intelligence, Computer Vision, safety, healthcare, crime prevention.
- L. Beritelli, M. G. Borzì, C. Randieri, R. Avanzato, F. Beritelli, "Techniques for Recognising and Classifying Environmental Noise Using Deep Learning", CEUR Workshop Proceedings - 8th International Conference of Yearly Reports on Informatics, Mathematics, and Engineering, ICYRIME, Volume 3695, Pages 62 - 6, Rome, 3 December 2023.
- M. G. Borzì, L. Beritelli, V.F. Puglisi, R. Avanzato, F. Beritelli, S. Bellino, "Hydrogeological Risk Analysis Using Computer Vision Techniques", CEUR Workshop Proceedings - 8th International Conference of Yearly Reports on Informatics, Mathematics, and Engineering, ICYRIME, Volume 3695, Pages 34 - 39, Rome, 3 December 2023.
- M. G. Borzì, L. Beritelli, V.F. Puglisi, R. Avanzato, F. Beritelli, "Emotion Recognition in Noisy Environments: Performance Analysis using Convolutional Neural Networks", CEUR Workshop Proceedings - 8th International Conference of Yearly Reports on Informatics, Mathematics, and Engineering, ICYRIME, Volume 3684, Pages 46 - 50, Naples 28 July 2023.
