Fabian Poignée M. Sc.

Telefon | (0931) 31-85960 |
Raum | A212 |
Anschrift | Lehrstuhl für Informatik III |
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
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).
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).