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

  • Seufert, M., Wehner, N., Casas, P.: A Fair Share for All: TCP-inspired Adaptation Logic for QoE Fairness among Heterogeneous HTTP Adaptive Video Streaming Clients. IEEE Transactions on Network and Service Management. 16, 475-488 (2019).
     
  • Wassermann, S., Wehner, N., Casas, P.: Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones. ACM SIGMETRICS Performance Evaluation Review. 46, 155-158 (2019).
     
  • Seufert, M., Schatz, R., Wehner, N., Gardlo, B., Casas, P.: Is QUIC becoming the New TCP? On the Potential Impact of a New Protocol on Networked Multimedia QoE. 11th International Conference on Quality of Multimedia Experience (QoMEX). , Berlin, Germany (2019).
     
  • Seufert, M., Casas, P., Wehner, N., Li, G., Kuang, L.: Features that Matter: Feature Selection for On-line Stalling Prediction in Encrypted Video Streaming. 2nd International Workshop on Network Intelligence (NI). , Paris, France (2019).
     
  • Wassermann, S., Wehner, N., Casas, P.: Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones. Workshop on AI in Networks (WAIN) (2018).
     

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