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 A208
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

  • Casas, P., Wehner, N., Wassermann, S., Seufert, M.: Fingerprinting Webpages and Smartphone Apps from Encrypted Network Traffic with WebScanner. Global Internet (GI) Symposium. , Paris, France (2022).
  • Wehner, N., Amir, M., Seufert, M., Schatz, R., Hoßfeld, T.: A Vital Improvement? Relating Google’s Core Web Vitals to Actual Web QoE. 14th International Conference on Quality of Multimedia Experience (QoMEX), Best Paper Award. , Lippstadt, Germany (2022).
  • Casas, P., Wassermann, S., Seufert, M., Wehner, N., Dinica, O., Hoßfeld, T.: X-Ray Goggles for the ISP: Improving in-Network Web and App QoE Monitoring with Deep Learning. Network Traffic Measurement and Analysis Conference (TMA) (2022).
  • Casas, P., Wassermann, S., Wehner, N., Seufert, M., Hoßfeld, T.: Not all Web Pages are Born the Same. Content Tailored Learning for Web QoE Inference. IEEE International Symposium on Measurements & Networking (M&N 2022) (2022).
  • Casas, P., Seufert, M., Wassermann, S., Gardlo, B., Wehner, N., Schatz, R.: DeepCrypt - Deep Learning for QoE Monitoring and Fingerprinting of User Actions in Adaptive Video Streaming. IEEE Conference on Network Softwarization (IEEE NetSoft 2022) (2022).

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