piwik-script

Deutsch 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., Wassermann, S., Casas, P., Hoßfeld, T.: Machine Learning-based Real-time Estimation of Quality of Experience from Encrypted Video Streaming Traffic. , 1st KuVS Workshop on Machine Learning for Networking, Munich, Germany (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).
       
    • 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).
       
    • 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