Master of Science

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

• Markudova, Dena (2023)
  Machine learning for Quality of Experience in real-time applications. relatore: MEO, Michela; , 35. XXXV Ciclo, P.: 135
  Doctoral Thesis
• Markudova, Dena; Meo, Michela (2023)
  ReCoCo: Reinforcement learning-based Congestion control for Real-time applications. In: 2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR), Albuquerque, NM, USA, 05-07 June 2023, pp. 68-74. ISBN: 978-1-6654-7640-9
  Contributo in Atti di Convegno (Proceeding)
• 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