Machine learning in network management for improving QoE of RTC applications

• 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

• 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)
• 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)
• 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
• 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, ... (2021)
  Online Classification of RTC Traffic. In: 2021 IEEE 18th Annual Consumer Communications & Networking Conference, Las Vegas, NV, USA, 9-12 Jan. 2021, pp. 1-6. ISBN: 978-1-7281-9794-4
  Contributo in Atti di Convegno (Proceeding)
• Markudova, Dena; Trevisan, Martino; Garza, Paolo; Meo, Michela; Munafo, Maurizio; ... (2021)
  What's my App?: ML-based classification of RTC applications. In: 2nd Symposium of Cryptocurrency Analysis (SOCCA 2020), Milano, pp. 41-44. ISSN 0163-5999
  Contributo in Atti di Convegno (Proceeding)
• 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
• 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 (103468). ISSN 0166-3615
  Contributo su Rivista
• Nistico, Antonio; Markudova, Dena; Trevisan, Martino; Meo, Michela; Carofiglio, Giovanna (2020)
  A comparative study of RTC applications. In: 2020 IEEE International Symposium on Multimedia (ISM), Napoli (IT), 2-4 Dicembre 2020, pp. 1-8. ISBN: 978-1-7281-8697-9
  Contributo in Atti di Convegno (Proceeding)
• Ciociola, Alessandro; Markudova, Dena; Vassio, Luca; Giordano, Danilo; Mellia, Marco; ... (2020)
  Impact of Charging Infrastructure and Policies on Electric Car Sharing Systems. In: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 20-23 Sept. 2020, pp. 1-6. ISBN: 978-1-7281-4149-7
  Contributo in Atti di Convegno (Proceeding)
• Markudova, D.; Baralis, E.; Cagliero, L.; Mellia, M.; Vassio, L.; Amparore, E.; Loti, ... (2019)
  Heterogeneous industrial vehicle usage predictions: A real case. In: 2019 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2019, Lisbona (Portugal), 2019, pp. 1-6. ISSN 1613-0073
  Contributo in Atti di Convegno (Proceeding)