piwik-script

Intern
Lehrstuhl für Informatik III

Nikolas Wehner M. Sc.

Telefon (0931) 31-88150
Telefax (0931) 31-86632
E-Mail nikolas.wehner@informatik.uni-wuerzburg.de
Raum B208
Anschrift Lehrstuhl für Informatik III
Am Hubland
D-97074 Würzburg

Research Interests

My research interests include the following topics:

  • Quality of Experience (QoE) of Internet applications
  • Measurement and analytics of (encrypted) network traffic
  • Artificial intelligence and machine learning for networks
  • Performance analysis and modeling of communication systems

Recent Publications

  • Wehner, N., Seufert, M., Schüler, J., Wassermann, S., Casas, P., Hoßfeld, T.: Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling. ACM SIGMETRICS Performance Evaluation Review. (2020).
     
  • Wehner, N., Seufert, M., Schüler, J., Wassermann, S., Casas, P., Hoßfeld, T.: Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling. 2nd Workshop on AI in Networks and Distributed Systems (WAIN). , Milan, Italy (2020).
     
  • Seufert, M., Wehner, N., Wieser, V., Casas, P., Capdehourat, G.: Mind the (QoE) Gap: On the Incompatibility of Web and Video QoE Models in the Wild. 16th International Conference on Network and Service Management (CNSM). , Izmir, Turkey (2020).
     
  • Wassermann, S., Casas, P., Ben Houidi, Z., Huet, A., Seufert, M., Wehner, N., Schüler, J., Cai, S.-M., Shi, H., Xu, J., Hoßfeld, T., Rossi, D.: Are you on Mobile or Desktop? On the Impact of End-User Device on Web QoE Inference from Encrypted Traffic. 16th International Conference on Network and Service Management (CNSM). , Izmir, Turkey (2020).
     
  • Wassermann, S., Wehner, N., Casas, P.: Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones. WAIN - Workshop on AI in Networks and Distributed Systems. , Toulouse, France (2018).
     

A comprehensive list of all publications can be found here: Publications