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Deutsch Intern
Chair of Computer Science III

Fabian Poignée M. Sc.

Telefon

(0931) 31-85960

E-Mail

fabian.poignee@informatik.uni-wuerzburg.de

Raum

A212

Anschrift

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

  • 1.
    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).
     
  • 2.
    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).
     

2021

  • 1.
    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

  • 1.
    Poignée, F.: Machine Learning Approach to Predict Video Streaming Behavior at Network Layer, (2020).
     

2018

  • 1.
    Poignée, F.: Influence of Tension on QoE in Video Streaming, (2018).