Titolo della tesi

Machine learning for Quality of Experience in real-time applications

Argomento di ricerca

Machine learning in network management for improving QoE of RTC applications

Tutori

• Michela Meo

Research presentation

Presentazione video

• The award is "Antonio Picariello Best Student Opponent" - I received it at the conference "22nd IEEE International Symposium on Multimedia (ISM 2020)". In the session where the best student papers were presented, each contestant was assigned a paper that we had to read beforehand and then during the session, in a time frame of 5 minutes, we had to describe the paper in short and list a few strong points and a few weak points of the paper - we were the papers' opponents. It was like doing a review / a critical analysis of the paper. The winner was the one who gave the most mature analysis. (2020)

Corso di laurea magistrale

• Network measurement laboratory. A.A. 2021/22, COMMUNICATIONS AND COMPUTER NETWORKS ENGINEERING (INGEGNERIA TELEMATICA E DELLE COMUNICAZIONI). Collaboratore del corso

• Perna, Gianluca; Markudova, Dena; Trevisan, Martino; Garza, Paolo; Meo, Michela; Munafo, ... (2022)
  Real-Time Classification of Real-Time Communications. In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, vol. 19, pp. 4676-4690. ISSN 1932-4537
  Contributo su Rivista
• Perna, Gianluca; Markudova, Dena; Trevisan, Martino; Garza, Paolo; Meo, Michela; Munafò, ... (2022)
  Retina: An open-source tool for flexible analysis of RTC traffic. In: COMPUTER NETWORKS, vol. 202. ISSN 1389-1286
  Contributo su Rivista
• Markudova, Dena; Trevisan, Martino; Garza, Paolo; Meo, Michela; Munafo, Maurizio; ... (2021)
  What's my App?: ML-based classification of RTC applications. In: PERFORMANCE EVALUATION REVIEW, vol. 48, pp. 41-44. ISSN 0163-5999
  Contributo su Rivista
• Markudova, Dena; Mishra, Sachit; Cagliero, Luca; Vassio, Luca; Mellia, Marco; Baralis, ... (2021)
  Preventive maintenance for heterogeneous industrial vehicles with incomplete usage data. In: COMPUTERS IN INDUSTRY, vol. 130. ISSN 0166-3615
  Contributo su Rivista
• Amenduni, Francesca; Ligorio, Maria Beatrice; Chillemi, Maria Grazia; Raffio, Lorenzo; ... (2021)
  Teaching Remotely During a Pandemic: Impact of Smart-Working on Teachers’ Professional Identities. In: Handbook of Research on Remote Work and Worker Well-Being in the Post-COVID-19 Era / Amenduni F., Ligorio M., Chillemi M., Raffio L., Giaveri P., Markudova D., Giliberto G., Gritti A., Barzanò G., S.L., IGI Global, pp. 81-102. ISBN: 9781799867548
  Contributo in Volume