Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38th cycle (2022-2025)
Department of Electronics and Telecommunications (DET)
Profile
PhD
Research topic
Technologies for Tailored and Predictive in-vehicle Experience
Tutors
Research interests
Biography
He is enrolled in the PhD program in Electrical, Electronics and Communications Engineering since November 2022. His research activity is mainly focused on improving the car driving experience and safety using audio sensors inside the vehicle and adopting modern artificial intelligence algorithms.
He is determined to make a meaningful impact in the field of audio sensor technology for the automotive industry, and his research is expected to contribute to the development of new, safer and more advanced vehicles.
Publications
Latest publications View all publications in Porto@Iris
- Barbisan, Luca; Riente, Fabrizio (2024)
Machine Learning Framework for the Acoustic Detection of the Queen Bee Presence. In: Forum Acusticum 2023, Torino, 11-15 Settembre 2023. ISBN: 978-88-88942-67-4
Contributo in Atti di Convegno (Proceeding) - Barbisan, Luca; Turvani, Giovanna; Riente, Fabrizio (2023)
Audio-Based Identification of Queen Bee Presence Inside Beehives. In: IEEE Conference on Agrifood Electronics, Torino (Italy), 25-27 September 2023, pp. 70-74. ISBN: 979-8-3503-2711-3
Contributo in Atti di Convegno (Proceeding)