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Chair of Computer Science III

Fabian Poignée M. Sc.


(0931) 31-85960






Lehrstuhl für Informatik III
Am Hubland
D-97074 Würzburg

Contents:  Working Group | Projects | Teaching | Publications

Research Interests

Some of my research interests include the following:

  • Group-based Communication
  • Quality of Experience (QoE) of Internet applications
  • Artificial Intelligence and machine learning for networks
  • Performance evaluation and modeling of communication systems
2022[ to top ]
  • Loh, F., Wamser, F., Poignée, F., Geißler, S., Hoßfeld, T.: YouTube Dataset on Mobile Streaming for Internet Traffic Modeling and Streaming Analysis. Nature, Scientific Data. (2022).
  • Seufert, A., Schweifler, R., Poignée, F., Seufert, M., Hoßfeld, T.: Waiting along the Path: How Browsing Delays Impact the QoE of Music Streaming Applications. 14th International Conference on Quality of Multimedia Experience (QoMEX) (2022).
  • Seufert, A., Poignée, F., Hoßfeld, T., Seufert, M.: Pandemic in the Digital Age: Analyzing WhatsApp Communication Behavior before, during, and after the COVID-19 Lockdown. Humanities and Social Sciences Communications. 9, 140 (1–9) (2022).
  • Supervisor: Poignée, F.: Identifying Network Loads in Mobile Messaging Applications, (2022).
  • Supervisor: Poignée, F.: Identifying Social Networks within Mobile Messaging, (2022).
2021[ to top ]
  • Loh, F., Poignée, F., Wamser, F., Leidinger, F., Hoßfeld, T.: Uplink vs. Downlink: Machine Learning-Based Quality Prediction for HTTP Adaptive Video Streaming. Sensors. 21, 4172 (2021).
2020[ to top ]
  • Poignée, F.: Machine Learning Approach to Predict Video Streaming Behavior at Network Layer, (2020).
2018[ to top ]
  • Poignée, F.: Influence of Tension on QoE in Video Streaming, (2018).