Open Topics for Bachelor and Master Theses
The following list contains potential areas of study for Bachelor's and Master's theses as well as internships at the chair. Please note that there is always the possibility of tailoring additional topics for you from the above thematic areas. There may also be overlaps between individual areas. The research assistants at the chair often offer additional topics in their areas of interest upon request. Feel free to contact them via their personal website or notify the responsible staff member of the thematic areas, who will then refer you to the appropriate person.
Further down, you will find specific pre-formulated works from the mentioned thematic areas.
Network Trends of the Future
This topic area encompasses research questions on highly current internet and network technologies and trends, such as the Internet of Things (IoT), industrial automation, real-time Ethernet, as well as 5G/6G and wireless communication in general. Various methodologies may be employed, such as the setup of measurement testbeds and simulations.
Keywords: Internet of Things, Industrial Automation, Real-Time-Ethernet, 5G, 6G, Wireless Communication
Responsible Person: Dr. Stefan Geißler
Energy Efficiency and Sustainability
In line with the previous developments of current networks, the question of the energy consumption of these novel technologies also arises. Therefore, in this thematic block, the focus is primarily on evaluating the resource or energy consumption of various technologies and considering them in trade-off with other metrics, such as system performance.
Keywords: Sustainability, Energy Efficiency, Green IoT
Responsible Person: Dr. Frank Loh
User-Centric Technologies
This topic area revolves around users of communication networks and the associated technologies. This includes aspects such as group-based communication (e.g., in WhatsApp), evaluating the Quality of Experience (QoE) of internet applications (e.g., streaming or short video services like TikTok), for instance, through user studies and crowdsourcing.
Keywords: Group-based Communication, QoE, Usability, Explainability, Crowdsourcing, User Studies
Responsible Person: Nikolas Wehner
Artifical Intelligence in Communication Networks
Artificial Intelligence (AI), and especially Machine Learning (ML), is another highly relevant topic for communication networks. This includes issues such as the detection of anomalies in network traffic (e.g., new devices, attacks, errors), classifying network traffic (e.g., into different applications like streaming and video chat), or predicting network load. Additionally, aspects like explainability through Explainable AI (XAI) are interesting, as well as integrating the administrator into the workflow.
Keywords: Anomaly Detection, Traffic Classification, XAI, Explainability, Human-in-the-Loop
Responsible Person: Katharina Dietz
Measuring and Modeling Network Traffic
In this thematic block, the focus is on understanding and modeling traffic in communication networks through measurements. Traffic can be measured at various layers (e.g., at the application layer or at the network layer) and involves the analysis of Key Performance Indicators (KPIs), Quality of Service (QoS), and Quality of Experience (QoE). Modeling is done, for example, through mathematical analyses, simulations, or other abstractions.
Keywords: KPIs, QoS, QoE, Performance Evaluation, Traffic Modeling, Simulation, Emulation
Responsible Person: Dr. Stefan Geißler
Open Topics
Open Bachelor Theses
Open Master Theses
Available Student Projects
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Supervisor: Nguyen, T. (2024). Studying Service Level Agreement (SLA) of edge-cloud deployments (1–) [Master thesis]. University of Würzburg.
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Supervisor: Loh, F. (2023). Studying mobility in a LoRaWAN Network (1–) [Master thesis]. University of Würzburg.
