Thesis Projects
Information about Diploma/Master thesis process
Open Theses
Mess to Mastery: User-centric redesign of psychomotor teaching experience
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 ...TLM: Bridge the Modality Gap between Transcriptome and Natural Language
This thesis focuses on developing a Transcriptome-Language Model (TLM) to effectively bridge the modality gap between transcriptomic data and natural language text. You will explore advanced models for transcriptomic data representation, and cross-modal learning techniques aligning transcriptomic and textual modalities. This model will be evaluated in tasks such as zero-shot cell property classification and text ...Single-Cell Centric Biomedical Foundation Models for Cancer
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 ...Bridging Skill Gaps using Smart Skill Assessment Tool
An AI-based skill assessment toolLeveraging Large Language Models for Enhanced Decision Support in Home Energy Management
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 ...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
Identification Techniques for Data-driven Feedback Loops in Manufacturing
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 ...Leveraging LLMs for Mathematical Optimization on the Example of Supply Chains
Leveraging LLMs for Mathematical Optimization on the Example of Supply ChainsCode-Based API Generation and Integration for Graph Analysis Algorithms
Code-Based API Generation and Integration for Graph Analysis AlgorithmsKnowledge Graph Construction for German Law Documents
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 ...Rethinking Federated Learning in Personal Health Train
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 ...
Completed Theses
A Condensation-based Anonymization Approach for Intrusion Detection
A Condensation-based Anonymization Approach for Intrusion DetectionLocal Differential Privacy Preserving Intrusion Detection Systems
Local Differential Privacy Preserving Intrusion Detection SystemsPrompt Engineering for Translating unstructured playbooks into CACAO standard with the help of Large Language Models
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 ...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.