Completed Theses
Learning content by heart can be facilitated by the method of Loci. In this mnemonic technique, the learner converts pieces of information into mental imagery. The imagined representations are then anchored in a location. If the learner then traverses a path through this location, the information can be remembered by recalling the mental imagery. However, ...
The emergence of large language models (LLMs), along with recent advances in mixed reality (MR) and virtual reality (VR), enable new opportunities for applying virtual agents in education. These simulated humans can imitate real-life situations and interactions with native speakers, which leads to an immersive and engaging learning experience. Especially in VR, interactions can be ...
Large Language Models (LLM) can be applied to transform a natural language (NL)-based text input query into a NL-based text answer. A common use case are personal assistants, e.g., for learning activities. In such teaching contexts they can process knowledge recorded in plain text documents, create summarizations, or teach knowledge according to a curriculum. However, ...
The aim of this thesis is to evaluate and extend a developing ontology of explainable data principles, an ongoing work aimed at establishing a structured framework for Data Explainability in AI systems. The current version of this ontology is in its early stages, primarily focused on defining key principles of Data Explainability and exploring their ...
The aim of this thesis is to extend the existing latency analysis of a psychomotor feedback engine within our existing MLOps pipeline . Building upon preliminary latency estimations, this thesis will focus on systematically evaluating each processing step in the pipeline, assessing both theoretical and practical contributions to the overall latency and throughput. By ...
This master’s thesis builds on the Psychomotor Feedback Engine (PFE) and the IMPECT framework , aiming to improve the graphical user interface that teachers use to implement rules and feedback elements in psychomotor learning.
This thesis aims to address those usability issues by redesigning the teacher interface and integrating the IMPECT framework to ...
Leveraging LLMs for Mathematical Optimization on the Example of Supply Chains
An AI-based skill assessment tool
An Ontology-Guided GraphRAG Approach for GDPR Documents
On the Evaluation of Retrieval Augmented Generation-based Cypher Queries
The goal of this thesis is to evaluate the applicability of Virtual Graphs in a Distributed Analytics environment.
Mixed reality agents are simulated humans who are displayed in a mixed reality environment, e.g., in augmented reality or virtual reality. They provide the opportunity to support teaching activities with automation. Possible use cases include general presentations in one place, e.g., of lecture content and station-based routes as seen in museums or with tourist guides. ...
LLM-based Tool for Integrating Ontologies and Knowledge Graphs Into Researchers' RDM Processes
Privacy-Preserving Data Aggregation for Smart Meters using Temporary Ring-Based Communication Structures
An Evaluation of Similarity-Preserving Bloom Encodings in URL-based Phishing Detection
LLM-based Tool for FAIR Data Assessment
A Condensation-based Anonymization Approach for Intrusion Detection
Local Differential Privacy Preserving Intrusion Detection Systems
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 as a tool for informed decision-making in energy investments and operations. One major goal is to transform the way the consumers engage with home ...
