Intern
Lehrstuhl für Informatik III

Teaching

Telefon (0931) 31-88150
Telefax (0931) 31-86632
E-Mail nikolas.wehner@uni-wuerzburg.de
Raum A213a
Anschrift Lehrstuhl für Informatik III
Am Hubland
D-97074 Würzburg

Contents: Overview | Publications | Teaching  | Working Group | Projects

Open Theses and Student Projects

Supervised Theses

  • 1.
    Schwind, N.: Statistical Analysis of Short Video Services on Network Layer, (2024).
  • 1.
    Urban, K.: Designing a Crowdsourcing Study for the Interaction of Web QoE and User Engagement, (2024).
  • 1.
    Amir, M.: Simulative Performance Evaluation of Short Video Services in Shared Access Networks, (2024).
  • 1.
    Karl, L.: Design, Implementation, and Execution of a QoE Study for Short Video Services, (2023).
  • 1.
    Ostermann, M.: Improving Web QoE Estimation with Contrastive Learning, (2023).
  • 1.
    Leidinger, F.: Evaluation of Graph-based Deep Reinforcement Learning for the TSN Per-Port Latency Assignment Optimization Problem, (2022).
  • 1.
    Frieling, M.: Evaluating the Interaction between Web and Video QoE with Crowdsourcing, (2022).
  • 1.
    Rduch, T.: Investigation of Fundamental Differences in the Perception of Web Browsing and Video Streaming Quality of Experience, (2022).
  • 1.
    Pham, T.T.: Quantifying the Influence of Consent Banners on Web QoE with Crowdsourcing, (2022).
  • 1.
    Amir, M.: Relating Google’s Web Vitals and Web QoE in a Crowdsourcing Approach, (2022).
  • 1.
    Arslanian, A.: QoE Study for Compatible Video and Web Browsing QoE Models, (2021).
  • 1.
    Oesen, E.: Machine Learning Based Web QoE Monitoring for Encrypted Network Traffic, (2021).
  • 1.
    Engelbrecht, T.: Investigating the Relationship of Network Data Arrival and the Rendering Process in Chrome, (2021).
  • 1.
    Hofmann, J.: Deep Reinforcement Learning for Configuration of Time-Sensitive-Networking, (2020).
  • 1.
    Mertinat, N.: Impact of Content Selection on Crowdsourced QoE Studies of HTTP Adaptive Streaming on Mobile Devices, (2020).
  • 1.
    Fehler, H.: Comparison of Web QoE Algorithms on Different Devices, (2020).
  • 1.
    Berani, S.: Fingerprinting Websites in Encrypted Network Traffic, (2020).

Lectures (Teaching)

  • Steuerungsprinzipen Moderner Kommunikationssysteme (WS 23/24)
  • Computer Communication Networks (Block course, Hanoi University of Science and Technology, Feb. 2023)
  • Simulationstechnik zur Systemanalyse (SS 2022)
  • Rechnernetze und Informationsübertragung (WS 20/21)

Seminar Talks (Tutor)

  • An Introduction to Time Series Foundation Models (WS 24/25)
  • NetLLM: Adapting Large Language Models for Networking (WS 24/25)
  • QoE-Fair Resource Allocation in Shared Access Networks (SS 24)
  • Novel Deep Learning Based Techniques for Encrypted Traffic Classification (SS 24)
  • Sammy: Smoothing Video Traffic to be a Friendly Internet Neighbor (WS 23/24)
  • TASQ: Temporal Adaptive Streaming over QUIC (WS 23/24)
  • QoE-Aware Management of Short Video Services (SS 23)
  • RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation (SS 23)
  • Estimating Quality of Experience for Interactive Web Applications (WS 22/23)
  • An In-depth Study of Mobile Web Experience (WS 22/23)
  • Website Fingerprinting (WS 21/22)
  • Application Fingerprinting (WS 21/22)
  • QoE and UX/Usability (SS 21)
  • QoE and Sustainability (SS 21)
  • Reinforcement Learning for Rate Control/DASH (WS 20/21)
  • Reinforcement Learning for Scheduling (WS 20/21)
  • Internet Access in High Speed Trains (SS 20)
  • QoE Monitoring of Internet Applications (WS 19/20)
  • QoE Monitoring from Encrypted Internet Traffic (WS 19/20)