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

  • Casas, P., Ben Houidi, Z., Wassermann, S., 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).
     
  • Wehner, N., Seufert, M., Egger-Lampl, S., Gardlo, B., Casas, P., Schatz, R.: Scoring High: Analysis and Prediction of Viewer Behavior and Engagement in the Context of 2018 FIFA WC Live Streaming. Proceedings of the 28th ACM International Conference on Multimedia (MM). , Seattle, WA, USA (2020).
     
  • Wehner, N., Mertinat, N., Seufert, M., Hoßfeld, T.: Studying the Impact of the Content Selection Method on the Video QoE on Mobile Devices. 12th International Conference on Quality of Multimedia Experience (QoMEX). , Athlone, Ireland (2020).
     
  • 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., 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).
     

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