Fabian Poignée M. Sc.
Lehrstuhl für Informatik III
Contents: Working Group | Projects | Teaching | Publications |
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
2023[ to top ]
Share and Multiply: Modeling Communication and Generated Traffic in Private WhatsApp Groups in IEEE Access (2023). 11 25401–25414.
2022[ to top ]
YouTube Dataset on Mobile Streaming for Internet Traffic Modeling and Streaming Analysis in Nature, Scientific Data (2022).
Waiting along the Path: How Browsing Delays Impact the QoE of Music Streaming Applications in 14th International Conference on Quality of Multimedia Experience (QoMEX) (2022).
Pandemic in the Digital Age: Analyzing WhatsApp Communication Behavior before, during, and after the COVID-19 Lockdown in Humanities and Social Sciences Communications (2022). 9(1) 140 (1–9).
Identifying Network Loads in Mobile Messaging Applications PhD thesis, University of Würzburg. (2022).
Identifying Social Networks within Mobile Messaging PhD thesis, University of Würzburg. (2022).
2021[ to top ]
Uplink vs. Downlink: Machine Learning-Based Quality Prediction for HTTP Adaptive Video Streaming in Sensors (2021). 21(12) 4172.
2020[ to top ]
Machine Learning Approach to Predict Video Streaming Behavior at Network Layer PhD thesis, University of Würzburg. (2020, September).
2018[ to top ]
Influence of Tension on QoE in Video Streaming PhD thesis, University of Würzburg. (2018, April).