Deutsch Intern
Chair of Computer Science III

Fabian Poignée M. Sc.

Telefon

(0931) 31-85960

E-Mail

fabian.poignee@.uni-wuerzburg.de

Raum

A212

Anschrift

Lehrstuhl für Informatik III
Am Hubland
D-97074 Würzburg


Contents:  Working Group | Projects | Teaching | Publications


2023[ to top ]
  • Share and Multiply: Modeling Communication and Generated Traffic in Private WhatsApp Groups. Seufert, Anika; Poignée, Fabian; Seufert, Michael; Hoßfeld, Tobias. In IEEE Access, 11, pp. 25401–25414. 2023.
2022[ to top ]
  • Waiting along the Path: How Browsing Delays Impact the QoE of Music Streaming Applications. Seufert, Anika; Schweifler, Ralf; Poignée, Fabian; Seufert, Michael; Hoßfeld, Tobias. In 14th International Conference on Quality of Multimedia Experience (QoMEX). 2022.
  • YouTube Dataset on Mobile Streaming for Internet Traffic Modeling and Streaming Analysis. Loh, Frank; Wamser, Florian; Poignée, Fabian; Geißler, Stefan; Hoßfeld, Tobias. In Nature, Scientific Data. 2022.
  • Pandemic in the Digital Age: Analyzing WhatsApp Communication Behavior before, during, and after the COVID-19 Lockdown. Seufert, Anika; Poignée, Fabian; Hoßfeld, Tobias; Seufert, Michael. In Humanities and Social Sciences Communications, 9(1), pp. 140 (1–9). 2022.
2021[ to top ]
  • Uplink vs. Downlink: Machine Learning-Based Quality Prediction for HTTP Adaptive Video Streaming. Loh, Frank; Poignée, Fabian; Wamser, Florian; Leidinger, Ferdinand; Hoßfeld, Tobias. In Sensors, 21(12), p. 4172. 2021.
2020[ to top ]
  • Machine Learning Approach to Predict Video Streaming Behavior at Network Layer. Technical Report (Master thesis), . Poignée, Fabian. Master thesis. University of Würzburg, 2020, September.
2018[ to top ]
  • Influence of Tension on QoE in Video Streaming. Technical Report (Master thesis), . Poignée, Fabian. Master thesis. University of Würzburg, 2018, April.