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
Teaching
Teachings
Master of Science
- Machine learning for networking. A.A. 2023/24, COMMUNICATIONS ENGINEERING. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Song, Tailai; Lopez Perez, David; Meo, Michela; Piovesan, Nicola; Renga, Daniela (In stampa)
High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era. In: WCNC 2024, Dubai, Emirati Arabi Uniti
Contributo in Atti di Convegno (Proceeding) - 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; Markudova, Dena; Perna, Gianluca; Meo, Michela (2023)
Where Did My Packet Go? Real-Time Prediction of Losses in Networks. In: ICC 2023 - IEEE International Conference on Communications, Rome, Italy, 28 May 2023 - 01 June 2023, pp. 3836-3841. ISBN: 978-1-5386-7462-8
Contributo in Atti di Convegno (Proceeding)