If you are interested in carrying out a practical project (research module, practical module, project module) or writing your Bachelor's or Master's Thesis at our department, we would be delighted to receive an email from you. As we are currently still a small team and strive to provide intensive and high-quality supervision, we only supervise a limited number of theses simultaneously.

We can currently offer supervision from now on.

• Session QoE
  Extension and implementation of a subjective user study to determine the influence of different stimuli on the overall session QoE of a user, based on content and duration of the session.
   
• Investigating Fundamental Differences between Web Browsing and Video Streaming Quality of Experience
  Creation and implementation of a subjective user study to determine the difference in perception between web and video content.
   
• Design and Evaluation of Subjective Methodologies to Assess QoE Fairness
  Creation and evaluation of a survey regarding QoE fairness. A subjective survey will be used to determine the meaning of fairness between different applications for different users on the Internet.
   
• Active Measurements for the Assessment of Educational Web Services QoS and QoE
  Typical student activities, such as the use of Digicampus, web browsing, messaging, or social media, are carried out automatically on a laptop or smartphone in order to determine the WLAN performance within a lecture hall.
   
• Validation of a Python-based Video Streaming QoE Simulation with Paired Experiments
  In this work, an already programmed bottleneck link simulation will be validated.
   
• Historical vs Peer Baseline: A Comparison in User and Entity Behaviour Analytics for Zero Trust Networks using Machine Learning (collaboration with genua GmbH)
  This project aims to develop a machine learning-based anomaly detection system based on an industrial data set in cooperation with a regional partner (genua GmbH from Kirchheim near Munich).

2024

Master Theses:

• Design and Evaluation of Active-Learning-based Network Intrusion Detection Systems

  Student: Leo Stumpf B.Sc.
  Supervisor: Johannes Schleicher M.Sc.

Bachelor Theses:

• Assessing the Quality of Experience of Short Video Services using Crowdsourcing Studies
  Student: Alperen Sayin
  Supervisor: Filip Simonovski M.Sc.
   
• Understanding the Influence of Session and Stimuli Characteristics on Webs Session QoE
  Student: Johannes Bulun
  Supervisor: Johannes Schleicher M.Sc.