Thesis Projects
Information about Diploma/Master thesis process
Open Theses
Creating the Digital Nervous System for the Internet of Sustainable Production
Das Ziel dieser Bachelorarbeit “OGRETA – Ontologie-gestützter Rahmen für das Entwicklungstracking von Arbeitskompetenzen” ist die Überführung des GRETA-Kompetenzmodells in eine Ontologie, die als Grundlage für ein Empfehlungssystem dienen kann. Das GRETA-Modell definiert die beruflichen Kompetenzen von Lehrkräften in der Erwachsenenbildung unabhängig von Fachgebiet, Erfahrung oder Beschäftigungsart. Durch die Strukturierung dieses Modells als Ontologie soll die ...
Radiology report generation is a critical task in medical imaging analysis, where accurate and comprehensive descriptions of medical scans (such as X-ray, CT, or MRI) are required for diagnosis and treatment planning. Vision-language models (VLMs) have recently gained attention for automating this process by generating textual reports from medical images. However, standard VLMs often suffer ...
We are looking for a highly motivated master’s student to work on an innovative project for their master’s thesis as soon as possible. The project involves investigating existing decentralized oracle networks (DONs) for verifiable credential (VC) verification and evaluating their integration with Self-Sovereign Identity (SSI) infrastructure.
Data Stream Synopses for Layered Cloud-Edge Infrastructures
Federated Catalog of Interoperable Data Streaming Workloads with WebAssembly
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 ...
Running Theses
In modern manufacturing, data plays a crucial role in optimizing processes, enhancing efficiency, and enabling interoperability across different systems. However, data models in manufacturing are often heterogeneous, proprietary, and lack standardization, making data sharing and integration challenging. The FAIR principles – Findability, Accessibility, Interoperability, and Reusability – provide a structured framework to improve data management ...
The goal of this thesis is to investigate and define stakeholder engagement and involvement within the lifecycle of sensor-based MLOps. While MLOps principles streamline the deployment and maintenance of machine learning (ML) models, ensuring proper stakeholder involvement remains a challenge. Different stakeholders must collaborate effectively across various lifecycle stages to ensure model reliability, fairness, and ...
The proliferation of misinformation and fake news on social media platforms poses a significant challenge in today’s digital age. Traditional automated fake news detection systems often struggle with the complexity of the task, lacking the ability to provide detailed explanations and interpret nuanced contextual information.
This thesis explores the enhancement of fake news detection using Multi-Agent ...
AutoML automates machine learning pipelines, making model training accessible without deep expertise. Recent advancements use LLM-based agents to optimize pipeline steps, but existing solutions often require large-scale models with high computational costs. Smaller, open-source models provide a more accessible alternative, especially when combined with domain-specific pre-trained models. However, integrating these models into AutoML via agent ...
Sensor data is often unstructured and while available datasets show some clear use cases, for example calculating energy consumption over time, relationships between measurements can often go unnoticed without a thorough examination of the data. While exploratory data analysis can reveal connections, without a clear analytical direction the results may be limited to general information, ...
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Completed Theses
Development of a hybrid Intrusion Detection System for EV Charging Stations
Privacy-Preserving Data Aggregation for Smart Meters using Temporary Ring-Based Communication Structures
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