piwik-script

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: Schwind, A.: Crowdsourced Network Measurements: Evaluation and Applicability for 5G, (2019).
       
    • Supervisor: Seufert, M.: Impact of Rendering Times on the Perceived Loading Speed of Web Pages, (2019).
       
    • Supervisor: Seufert, M.: Study of QoE Aspects of 3D Point Cloud Reduction, (2019).
       
    • Supervisor: Seufert, M.: Evaluation of the Impact of Cross-Traffic on TCP and QUIC Video Streaming, (2019).
       
    • Supervisor: Moldovan, C.: Applied Optimization of Virtual Reality Videos, (2019).
       
    • Supervisor: Grigorjew, A.: Consolidation of Resources and Demands in VNF Chain Placement Problems (BA), (2019).
       
    • Gray, N.: Evaluation of the Impact of Network Topologies and Applications on Synchronization Strategies of Distributed SDN Controllers, (2019).
       

    Open Master Theses

    • Supervisor: Schwind, A.: Potential Traffic Savings by Leveraging Proximity of Communication Groups in Mobile Messaging Applications, (2019).
       
    • Supervisor: Seufert, M.: Transfer Learning Approaches for QoE Monitoring of Encrypted Video Streaming Traffic, (2019).
       
    • Supervisor: Seufert, M.: Algorithms Towards Proactive QoE-aware Traffic Management, (2019).
       
    • Supervisor: Seufert, M.: Estimating QoE of Web Browsing in the Network, (2019).
       
    • Loh, F.: Machine Learning Approach to Classify Video Stalls at Network Layer, (2019).
       
    • Gray, N.: Evaluation of Offloading Firewall Rules with P4, (2019).
       

    Available Student Projects

    • Supervisor: Seufert, M.: Characterization of Browsing Sessions, (2019).
       
    • Supervisor: Seufert, M.: Identifying User Behavior from Encrypted Video Streaming Traffic, (2019).
       
    • Supervisor: Moldovan, C.: Analyze des Verhaltens und der Zuschauerbindung von Twitch Nutzern, (2019).
       
    • Supervisor: Moldovan, C.: Implementation of an Adaptation Algorithm for 360-Degree Videos, (2019).
       
    • Supervisor: Schwind, A.: Potential Traffic Savings by Leveraging Proximity of Communication Groups in Mobile Messaging, (2019).
       
    • Supervisor: Borchert, K.: Analysis and Correlation of objective and subjective Performance Data of an Enterprise Application, (2019).