Aim of the Thesis:
The aim of this bachelor thesis is to design, implement, and evaluate a blockchain-based escrow mechanism to support secure and transparent payment handling for data challenges in the Blockchain4DataMarketPlace. The proposed system will automate fund management, support dispute resolution processes, and provide transparent documentation of transactions, ensuring fairness and trust between Data ...
The growing adoption of electric vehicles (EVs) is reshaping power grids by introducing cybersecurity challenges that could be exploited to target both the EV and the power grid. This thesis focuses on vulnerabilities associated with EV charging and the effects of cyberattacks on grid stability and resilience. Of particular interest is the Open Charge Point ...
Exploring the potential of Solid Pods for the cultural sector offers an exciting opportunity to address challenges in data management, privacy, and interoperability. Solid Pods, a technology framework designed to enable individuals to store and control their data, promises transformative applications in the cultural sector. This thesis investigates how Solid Pods can be applied to ...
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 project aims to develop a methodology for the systematic selection and implementation of identifier systems in manufacturing, with a focus on ultrashort-pulsed (UKP) laser systems. By creating a robust identification framework tailored to manufacturing environments, the project will enhance data traceability, interoperability, and reusability within data-driven feedback loops, particularly in highly automated settings. The ...
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 ...
This project aims to develop a comprehensive knowledge graph that represents German law documents, including cases and statutes. By creating an ontology tailored to the legal domain and leveraging automated annotation techniques, the project will transform unstructured legal text into structured data that can be queried. This knowledge graph will support legal research, enhance information ...
This thesis investigates the application of federated learning (FL) to the Personal Health Train (PHT) paradigm, exploring how FL can be better adapted to improve privacy-preserving data analysis in healthcare. The research examines how PHT can facilitate secure, distributed machine learning on sensitive medical data across different institutions, while ensuring data privacy and compliance with ...
This research investigates hallucination in vision-language models, focusing on the role of the attention mechanism in contributing to and potentially mitigating hallucinations. The work explores how attention layers influence the integration of visual and textual information and identifies techniques for reducing the generation of inaccurate or irrelevant outputs. A critical research question is understanding how ...
This thesis focuses on designing an Agentic Graph Retrieval-Augmented Generation (RAG) system specifically for question answering in oral maxillofacial surgery (OMS) guidelines. By leveraging graph-based knowledge representation and advanced language models, the system aims to improve accuracy and efficiency in accessing and interpreting surgical guidelines. Key research areas include the integration of graph databases, ontology-based ...
This thesis explores the application of diffusion models for the segmentation of brain tumors in 3D MRI images. By leveraging the robust generative capabilities of diffusion models, the research investigates how these models can accurately identify and segment tumor regions in volumetric MRI data. The study focuses on enhancing tumor detection accuracy and addressing challenges ...
This thesis aims to develop a single-cell-centric biomedical foundation model that leverages the capabilities of generative pre-trained transformers to enhance the analysis of single-cell RNA data. The model will address critical tasks in single-cell biology, such as cell-type annotation, perturbation prediction, identification of pathogenic cells, and gene network inference.
This thesis is co-supervised by Sikander Hayat ...
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.
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 ...
As universities strive to enhance the effectiveness of their lecture exercises, there arises a need for diverse and realistic test user scenarios to evaluate the understandability and usefulness of educational materials. However, in creating such scenarios a number of challenges arise: Real world students can rarely be used for testing, they are likely inexperienced or ...
