Deutsch Intern
    Lehrstuhl für Informatik III

    Open Topics for Bachelor and Master Theses

    The following lists include open research topics available for bachelor and master theses as well as practical projects. Please note that these lists do not exhaustively list all topics. Members of the chair often offer additional topics within their area of interest, so feel free to contact them directly at their personal web page.

    Regarding general questions please contact Stefan Geißler.

    You can easily view a summary and a detailed description of the topics listed here by clicking the Abstract link below the respective entry. The contact details of the respective supervisor are also made available there.

    Open Bachelor Theses

    • Supervisor: Wehner, N.: Real-Time Machine Learning Pipeline for Web QoE Monitoring, (2020).
    • Supervisor: Grigorjew, A.: Configuring Stream Aggregates with Timed Gates for Predictable Latency in Dynamic Networks, (2020).
    • Supervisor: Schwind, A.: Crowdsourced Network Measurements: Evaluation and Applicability for 5G, (2020).
    • Supervisor: Loh, F.: Analyzing the Streaming Behavior of the Amazon Echo Show, (2020).
    • Supervisor: Loh, F.: Analysis of the Live Streaming Behavior of Twitch, (2020).
    • Supervisor: Geissler, S.: Simulating IoT Interpolation Mechanisms to Improve Application Layer Information Quality, (2020).
    • Supervisor: Geissler, S.: Classification of IoT Signaling Incidents, (2020).
    • Supervisor: Grigorjew, A.: Configuring Stream Aggregates with Asynchronous Traffic Shaping for Lower Latency, (2020).
    • Supervisor: Metzger, F.: Profiling the E2E Delays of Streamed Video Games with the Camera Method, (2020).
    • Supervisor: Wamser, F.: Bewertung und Analyse von 5G-Mobilfunk: Large-scale Monitoring-Lösungen und -Konzepte zur Bestimmung der Leistung von 5G, (2020).
    • Supervisor: Loh, F.: Studying the Live Streaming Behavior of Mobile Twitch.tv and YouTube, (2020).
    • Supervisor: Seufert, M.: Data Augmentation for Machine Learning on Network Traffic, (2020).
    • Supervisor: Seufert, M.: QoE Study for Session-based Web Browsing, (2020).
    • Supervisor: Loh, F.: Solving the Collision Problem with Aggregation? A Measurement Driven LoRaWAN Study., (2020).
    • Supervisor: Wehner, N.: QoE Study for Compatible Video and Web Browsing QoE Models, (2020).
    • Supervisor: Wamser, F.: Blockchain in communication networks, (2020).
    • Supervisor: Wamser, F.: Analyse von Video Streaming-Konzepten, (2020).
    • Gray, N.: Evaluation of the Impact of Network Topologies and Applications on Synchronization Strategies of Distributed SDN Controllers, (2020).

    Open Master Theses

    • Wamser, F.: Bewertung und Analyse von 5G-Mobilfunk: Grundlagen zu Crowdsourcing-basierten 5G-Mobilfunkmessungen, (2020).
    • Supervisor: Metzger, F.: Design and Evaluation of a Cloud Gaming Crowdsourcing Study, (2020).
    • Supervisor: Metzger, F.: Vehicular and Wireless Traffic Simulation and Optimization under Urban Mobility, (2020).
    • Supervisor: Loh, F.: Demand Study and Performance Evaluation of Future Smart City Networks, (2020).
    • Supervisor: Metzger, F.: Measuring the Effectiveness of Latency Mitigation Methods with a Prototype Video Game, (2020).
    • Supervisor: Wamser, F.: Blockchain in cloud and communication networks, (2020).
    • Supervisor: Schwind, A.: QoE Estimation of Music Streaming in the Network, (2020).
    • Supervisor: Wehner, N.: Deep Learning for QoE Estimation, (2020).
    • Supervisor: Loh, F.: A Simulative Approach to Study the Coverage of LoRaWAN in Würzburg, (2020).
    • Supervisor: Seufert, M.: Transfer Learning Approaches for QoE Monitoring of Encrypted Video Streaming Traffic, (2020).
    • Supervisor: Seufert, M.: Algorithms Towards Proactive QoE-aware Traffic Management, (2020).
    • Supervisor: Seufert, M.: Estimating QoE of Web Browsing in the Network, (2020).
    • Gray, N.: Evaluation of Offloading Firewall Rules with P4, (2020).

    Available Student Projects

    • Supervisor: Wamser, F.: Aufbau eines Blockchain-Testbeds, (2020).
    • Supervisor: Metzger, F.: Examining the Netcode of Old, Open-sourced Video Games, (2020).
    • Supervisor: Metzger, F.: Designing a Realistic Virtual AQM Testbench, (2020).
    • Supervisor: Wehner, N.: Implementation of a Low Latency QoE Fair HAS Logic, (2020).
    • Supervisor: Loh, F.: Measurement Driven Investigation of the Twitch.tv Streaming Behavior, (2020).
    • Supervisor: Loh, F.: Use Case Study of the Transmission Behavior of an Application Using LoRaWAN, (2020).
    • Supervisor: Schwind, A.: Investigating the QoE of Mobile Instant Messaging, (2020).
    • Supervisor: Seufert, M.: Characterization of Browsing Sessions, (2020).
    • Supervisor: Seufert, M.: Identifying User Behavior from Encrypted Video Streaming Traffic, (2020).
    • Supervisor: Borchert, K.: Analysis and Correlation of objective and subjective Performance Data of an Enterprise Application, (2020).