Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38th cycle (2022-2025)
Department of Electronics and Telecommunications (DET)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
Machine learning for real-time communication.
Tutors
Research interests
Biography
Awards and Honors
Teaching
Teachings
Master of Science
- Machine learning for networking. A.A. 2024/25, CYBERSECURITY. Collaboratore del corso
- Machine learning for networking. A.A. 2023/24, COMMUNICATIONS ENGINEERING. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Song, Tailai; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo (2024)
Throughput Prediction in Real-Time Communications: Spotlight on Traffic Extremes. In: 29th IEEE Symposium on Computers and Communications (ISCC) IEEE ISCC 2024, Paris (FRA), 26 - 29 June 2024. ISBN: 979-8-3503-5423-2
Contributo in Atti di Convegno (Proceeding) - Song, Tailai; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo (2024)
Towards the Detection of Unobservable Losses in Real-Time Communications. In: 2024 IEEE 30th International Symposium on Local and Metropolitan Area Networks (LANMAN), Boston, USA, 10 July 2024 - 11 July 2024, pp. 21-26. ISBN: 979-8-3503-5209-2
Contributo in Atti di Convegno (Proceeding) - Song, Tailai; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo (2024)
DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes. In: COMPUTER NETWORKS, vol. 249. ISSN 1389-1286
Contributo su Rivista - Song, Tailai; Perna, Gianluca; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo (2024)
BitFormer: Transformer-Based Neural Network for Bitrate Prediction in Real-Time Communications. In: 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 06 Jan 2024 - 09 Jan 2024, pp. 65-70. ISBN: 979-8-3503-0457-2
Contributo in Atti di Convegno (Proceeding) - Song, Tailai; Lopez Perez, David; Meo, Michela; Piovesan, Nicola; Renga, Daniela (2024)
High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era. In: Conference on Wireless Communications and Networking (WCNC 2024), Dubai (United Arab Emirates), 21-24 April 2024. ISBN: 979-8-3503-0358-2
Contributo in Atti di Convegno (Proceeding)