Thesis Projects
Information about Diploma/Master thesis process
Open Theses
Extending Data Stream Processors with Interoperable User-Defined Functions in WebAssembly
Extending Data Stream Processors with Interoperable User-Defined Functions in WebAssemblyInteroperable Data Exchange between Data Stream Processing Platforms
Interoperable Data Exchange between Data Stream Processing PlatformsAutomated Data Processing and Knowledge Discovery for Time Series Data utilizing Large Language Models
Large language models (LLMs) have proven the ability to assist diverse users in conducting a variety of individual tasks via intuitive and natural conversations. This thesis discusses a utilization of LLMs to perform (semi-)automated data processing and analyses on time series data. One major goal is to reduce expertise-related dependencies, allowing more people to manipulate ...The impact of privacy-enhancing technologies on the quality of services on power grid systems
An evaluation methodology for cyber security on (smart) grid systems
The overhead of security-by-design requirements on current power grid systems
Running Theses
A Mixed Reality Agent as a Navigation Guide
Mixed reality agents are simulated humans which can be viewed and interacted with on mixed reality technologies. For conveying content in educational settings, mixed reality agents have a series of advantages. They are part of a mixture of virtual elements with the real world, which provides opportunities where the agent can refer to points and ...Frequent Learner Errors: NLP Insights into Automated Grading
This thesis aims to explore the realm of Natural Language Processing (NLP) in the context of automated grading systems, focusing specifically on identifying and analyzing frequent learner mistakes. With the increasing integration of technology in education, automated grading systems have gained prominence, but they often lack nuanced understanding and feedback provision. This research endeavors to ...Explainable Data – Trust, Transparency and Bias Mitigation in ML
This bachelor thesis aims to delve into the critical intersection of trust, transparency, and bias mitigation in machine learning (ML) systems through the lens of explainable data. The proliferation of ML algorithms across various domains has underscored the importance of understanding how these systems make decisions, especially when they impact individuals or societal outcomes.Adaptive Semantics for Generic Latex Expressions in the Context of Educational Resources
This thesis aims at developing a pipeline for automatic translation of generic latex expression into domain specific, processable, languages.Need for Speed: Evaluating Feedback Latency in Psychomotor Learning
The bachelor thesis aims to contribute to the ongoing research project MILKI-PSY, which is centered around advancing Self-Regulated Learning (SRL) in psychomotor training through multimodal immersive mentoring. In the context of the project, we explore how various calculation mechanisms and hardware decision impact the latency of feedback in psychomotor learning.
Completed Theses
Algorithmic Approaches to Overlapping Community Detection – PSO_LPA and Graph Visualization
Algorithmic Approaches to Overlapping Community Detection - PSO_LPA and Graph VisualizationIs there data? Repository approaches to simplify the search for reusable research data
The discovery of scientific knowledge has always been a continuous and exponentially growing process. As data-driven research generates massive amounts of datasets, there has been a growing awareness among researchers and institutions regarding the importance of making research data openly accessible. Making the underlying data freely accessible contributes to reproducibility and transparency in research and ...Moving from Ad-hoc to a Structured Testing Approach in a Graph Analysis and Community Detection Framework
Algorithmic Approaches to Overlapping Community Detection – Multiplex Networks
Algorithmic Approaches to Overlapping Community Detection - Multiplex NetworksAlgorithmic Approaches to Overlapping Community Detection – Protein-Protein Interaction Networks
Algorithmic Approaches to Overlapping Community Detection - Protein-Protein Interaction Networks