DBIS

Information about Diploma/Master thesis process

Open Theses

• DISCO-ML: Decision Interoperability Specification Conventions for Operationalized Machine Learning

  ---

  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 ...

• 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 ...

• 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

• A Foundational small LLM-based Framework to enable Compliance Checking

  ---

• Design and Evaluation of AI Agent Systems for Enterprise Software

  ---

  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 ...

• AI-Driven Intelligent Scheduling System in Healthcare and Long-Term Care

  ---

  The healthcare and long-term care (LTC) sector is experiencing severe workforce challenges. Nurses and caregivers are frequently confronted with excessive workloads, mandatory overtime, and the constraints of complex union agreements. These pressures contribute to burnout, high turnover rates, and rising labour costs, while simultaneously undermining care quality and patient satisfaction. Conventional workforce management (WFM) tools are ...

• CHALLENGE: Collaborative Human-Agent Learning for Leveraging Engagement in Negotiated Governance of MLOps

  ---

  The goal of this thesis is to design and prototype a serious game that simulates stakeholder engagement challenges in MLOps lifecycles. The game will make use of LLM-based agents to represent typical stakeholder roles (e.g., data scientists, ML engineers, domain experts, operations managers) and allow players to interact with them in different lifecycle stages. The aim ...

• TIME-PG: Transparent and Inclusive Modernization through Explainability with LLM-based Participatory Governance

  ---

  This thesis aims to explore and prototype a system for participatory governance and transparent decision-making in the context of modernizing legacy software systems. Using Large Language Models (LLMs), the system will analyze and extract decisions from various project artifacts (e.g., commit messages, meeting transcripts), represent them in a structured decision domain model, and create an ...

View all running theses

Completed Theses

• Federated Machine Learning Architecture for an MDF Production Industry Use Case

  ---

  Federated Machine Learning Architecture for an MDF Production Industry Use Case

• Data-driven quality assurance in grinding manufacturing technology

  ---

  Data-driven quality assurance in grinding manufacturing technology

• A Privacy-Preserving Machine Learning Approach for DGA Detection

  ---

• OGRETA: Ontologie-Entwurf für das GRETA-Kompetenzmodell

  ---

  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 ...

• Development of a hybrid Intrusion Detection System for EV Charging Stations

  ---

  Development of a hybrid Intrusion Detection System for EV Charging Stations

View all completed theses