Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38th cycle (2022-2025)
Ph.D. obtained in 2026
Dissertation:
From Coarse Single Theoretical to Fine Multiple Practical: Machine Learning-Empowered Real-Time Communications (Abstract)
Tutors:
Michela Meo Marco MelliaProfile
Research topic
Machine learning for real-time communication.
Research interests
Awards and Honors
Teaching
Teachings
Master of Science
- Machine learning for networking. A.A. 2023/24, COMMUNICATIONS ENGINEERING. Collaboratore del corso
- Machine learning for networking. A.A. 2024/25, CYBERSECURITY. Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Song, Tailai; Garza, Paolo; Meo, Michela; Matteo Munafo, Maurizio (2026)
One Is Enough: Efficient Modeling of RTP Traffic for QoS Predictions in Real-Time Communications. In: IEEE TRANSACTIONS ON NETWORKING, vol. 34, pp. 2589-2604. ISSN 2998-4157
Contributo su Rivista - Song, Tailai (2026)
From Coarse Single Theoretical to Fine Multiple Practical: Machine Learning-Empowered Real-Time Communications. relatore: MEO, Michela; MELLIA, MARCO; , 38. XXXVIII Ciclo, P.: 156
Doctoral Thesis - Song, Tailai; Meo, Michela (2025)
Debunking Reinforcement Learning for Bandwidth Estimation in Real-Time Communications: When a Simple Regressor Suffices. In: 2025 21st International Conference on Network and Service Management (CNSM), Bologna (Ita), 27-31 October 2025
Contributo in Atti di Convegno (Proceeding) - Song, Tailai; Organokov, Mukharbek; Gulikers, Lennart; Grassi, Giulio; Carofiglio, ... (2025)
Advancing Cloud-Native Cyber Threat Detection with Graph-Based Feature Engineering. In: IEEE International Conference on Data Engineering, Hong Kong (Chi), 19-23 May 2025, pp. 4291-4297. ISBN: 979-8-3315-3603-9
Contributo in Atti di Convegno (Proceeding) - Song, Tailai; Perna, Gianluca; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo (2025)
Packet Loss in Real-Time Communications: Can ML Tame its Unpredictable Nature?. In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, vol. 22, pp. 72-91. ISSN 1932-4537
Contributo su Rivista - Song, Tailai; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo (2024)
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications. In: 26th International Symposium on Multimedia, Tokyo (JP), 11-13 December 2024, pp. 63-70. ISBN: 979-8-3315-1111-1
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) - 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; 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)
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; 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)