Thesis Projects
Information about Diploma/Master thesis process
Open Theses
This thesis investigates how to formally represent early-stage data science requirements and how to support the automation of early-stage data science through an LLM-based agent.
Sentiment analysis models detect emotion in text, but need retraining for each new context. To generate training data, Large Language Models (LLMs) are increasingly being used but performance is still limited. We aim to improve it via the creation of a structured framework for LLM-driven data synthesis.
We are seeking a motivated master’s student to explore the application of LargeLanguage Models (LLMs) and Small Language Models (SLMs) for automated semantic mapping in data integration scenarios involving sensitive information. This thesis addresses a critical challenge in modern data management: domain experts often possess the knowledge needed to align local data sources with global ...
Users are increasingly required to give away private Email addresses in order be reachable by service providers, e.g., to be receive invoices, digital receipts, or newsletters. While this is especially true for digital services, also physical interactions increasingly shift toward involving digital information exchanges. Most notably, paper-based receipts are being replaced by digital equivalents.
However, digital ...
Large language models (LLMs) are increasingly used in biomedical applications, including literature mining (PMID: 40188094), drug discovery (PMID: 38730226; 41362614; https://arxiv.org/abs/2510.27130), clinical decision support (PMID: 40753316), and patient data analysis (PMID: 41034564). Hybrid approaches combining LLMs with structured knowledge bases and retrieval-augmented generation (RAG) improve performance and interpretability (PMID: 38830083; https://www.biorxiv.org/content/10.1101/2025.05.08.652829v2) . However, LLM-based systems ...
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
This thesis investigates whether Vision-and-Language Navigation (VLN) can be reliably transferred from conventional benchmarks to subway tunnel environments, enabling a quadruped robot to execute inspection-oriented navigation tasks under constrained geometry, degraded visibility, and limited connectivity. The work is motivated by recent vision-language-action approaches that connect language grounding with embodied control for legged platforms (e.g., NaVILA) ...
The aim of this thesis is to extend an existing system for providing psychomotor feedback in a camera-based learning environment by automating or supporting the rule creation process.
The core objective is to leverage computer vision techniques and large language models (LLMs) to extract motion data from YouTube tutorial videos and automatically infer psychomotor feedback rules, ...
A Framework for Automated Sanitization of Cybersecurity Playbooks
Sensor-based machine learning (ML) systems (such as predictive maintenance, environmental monitoring, and industrial automation) require scalable, explainable, and continuously evolving data infrastructures. The complexity of these systems lies not only in the technical pipeline (data ingestion, feature engineering, model training, deployment, monitoring) but also in the design decisions stakeholders make along the way. These decisions ...
Enterprise Software has become a critical pillar in global digital transformation. In China, for example, next-generation platforms such as DingTalk and Feishu not only integrate office automation functionalities but also play a central role in project management, team collaboration, and workflow optimization, which enable efficient cross-department collaboration, task transparency, and workflow automation, thereby enhancing organizational ...
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Completed Theses
Federated Machine Learning Architecture for an MDF Production Industry Use Case
Data-driven quality assurance in grinding manufacturing technology
Technical support is an essential aspect of various industries, e.g., to provide help with maintaining machinery and IT systems. However, diagnosing error messages and faults in complex technologies can be a time-consuming and challenging task. The maintainer has to search through the long documentation booklets for the technology in order to find a solution or ...
The innovative integration of Mixed Reality and Large Language Models can lead to highly interactive instructional MR agents. Utilized as automated instructors, these MR agents have the potential to significantly enhance traditional instruction manuals by providing visual guidance. For instance, they can illustrate the next required actions in practical tasks such as tightening screws in ...
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