Kategorie: ‘Theses’
Guided Knowledge Presentations with Mixed Reality Agents
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. If mixed reality agents can take over these repetitive tasks, a consistent quality of the conveyed content is ensured as each run is the same. The agent has the potential to be superior to recorded video presentations as it could possess interactive capabilities, e.g., in answering common questions. Moreover, with the right data structure to encode the presented content, changing and updating the presentation of an agent can be done by quickly adjusting the underlying configuration file whereas videos require a re-recording of content.
LLM-Assisted Cybersecurity Playbook Generation Based on Existing Playbooks and Retrieval-Augmented Techniques
Implementation and Evaluation of Programmable Money Using Verifiable Credentials and Zero Knowledge Proofs
We are looking for a highly motivated master student to work on an innovative project for their master’s thesis as soon as possible. The project involves the implementation and evaluation of a programmable money approach utilizing verifiable credentials and zero knowledge proofs.
A Natural Language Interface for the Semantic Data Lake system (SEDAR) via LLMs
LLM-based Tool for Integrating Ontologies and Knowledge Graphs Into Researchers’ RDM Processes
Enhancing Spam Email Detection via Sentiment-Modification using LLMs
Human Feedback-Driven Improvement of LLM-Assisted Cybersecurity Playbook Translation into a Standardized, Machine-Readable Format
Reasoning-based LLM enhancement for the cybersecurity playbook translation into a standardised format