Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
Use of collective and collaborative perception for automated driving at L4+ level
Tutors
- Claudio Ettore Casetti
- Pandeli Borodani
Research interests
Biography
Continuing my academic path, I earned both a bachelor's and master's degree in Computer Engineering, delving into the fundamental aspects of engineering and acquiring detailed skills in computer science and electronics. During my master's studies, I dedicated myself to specific courses on Artificial Intelligence and Data Analysis. My master's thesis, titled "Enhancing Crowd-Monitoring Through WiFi Fingerprint Analysis," allowed me to explore the field of crowd-monitoring and people counting through simulations and the application of machine learning algorithms.
My primary academic interests revolve around computer networks, vehicular networks (V2X), and machine learning. In the course of my Ph.D. research, I aspire to integrate these interests to contribute to the enhancement of autonomous driving through connectivity and cooperation among vehicles.
Teaching
Teachings
Bachelor of Science
- Reti di calcolatori. A.A. 2024/25, INGEGNERIA INFORMATICA. Collaboratore del corso
- Reti di calcolatori. A.A. 2024/25, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso
Research
Research groups
Publications
Latest publications View all publications in Porto@Iris
- Angelini, Sergio; Gasco, Diego; Casetti, Claudio (In stampa)
GenSUMO: GenAI-Creation of Critical Scenarios for Autonomous Vehicle Testing. In: IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, NV (USA), 10-13 January 2025, pp. 1-2
Contributo in Atti di Convegno (Proceeding) - Rusca, Riccardo; Gasco, Diego; Casetti, Claudio; Giaccone, Paolo (2024)
Privacy-Preserving WiFi Fingerprint-Based People Counting for Crowd Management. In: COMPUTER COMMUNICATIONS, vol. 225, pp. 339-349. ISSN 0140-3664
Contributo su Rivista