Thesis Projects
Information about Diploma/Master thesis process
Open Theses
Consistency-checking German Pathology Reports using Large Language models
High data quality is becoming increasingly critical to today’s medical research. After identifying respective data quality rules, data quality checks can be implemented relatively easily on structured data. However, Pathology reports are predominantly narrative reports. Thus, these reports, comprising microscopy, histology and diagnosis provide very few structured elements. Hence, consistency checking of the sections of ...Development of Chrome extension for Writing Improvement based on Language Models
Writing is an essential skill in both academic and professional contexts, that allows individuals to convey their thoughts, ideas, and information in a clear and concise manner. However, it can still be challenging to write effectively, efficiently, and accurately, especially for non-native speakers of the language.Developing a Flexible Interface for Agent-Behaviors inMulti-Agent-System Simulations of Electrical Power Systems
Developing a Flexible Interface for Agent-Behaviors inMulti-Agent-System Simulations of Electrical Power SystemsTokenization of Educational Credentials
The digital transformation of academic and professional credentials is a burgeoning field, seeking to add more security, transparency, and traceability to the way we validate education and skills. One key innovation in this domain is the concept of “tokenization” enabled by blockchain technology. This thesis investigates the possibility, benefits, and challenges of tokenizing educational credentials, ...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
Further development of a cyber-physical co-simulation environment to investigate the architecture and control of smart grids
Further development of a cyber-physical co-simulation environment to investigate the architecture and control of smart gridsMixed Reality Tour Guide for Knowledge Graphs
Integrating mixed reality (MR) with knowledge graphs offers a transformative approach in an era where education is becoming increasingly personalized and interactive. Visualizing knowledge through graphs and providing an immersive experience allows learners to shape their educational spaces and engage with information in new, dynamic ways.
Running Theses
Moving from Ad-hoc to a Structured Testing Approach in a Graph Analysis and Community Detection Framework
Algorithmic Approaches to Overlapping Community Detection – Multiplex Networks
Algorithmic Approaches to Overlapping Community Detection - Multiplex NetworksAlgorithmic Approaches to Overlapping Community Detection – Protein-Protein Interaction Networks
Algorithmic Approaches to Overlapping Community Detection - Protein-Protein Interaction NetworksIntegrating Semantics in Data Spaces by the automatic generation of mapping rules between data sources and ontologies
Integrating Semantics in Data Spaces by the automatic generation of mapping rules between data sources and ontologiesKnowledge and Social Context-enhanced Fake News Detection
In today’s digital era, information disseminates rapidly through online platforms, such as Twitter. Those platforms have fundamentally transformed how societies communicate, share, and perceive information. On the other hand, it also presents challenges, notably in the spread of false information or so-called fake news. The spread of fake news has been shown to sway public ...
Completed Theses
From Simulation to Real Settings: Investigating the Testability of Distributed Analytics Experiments
From Simulation to Real Settings: Investigating the Testability of Distributed Analytics ExperimentsEstablishing Trust in P2P Distributed Analytics Infrastructures
Establishing Trust in P2P Distributed Analytics InfrastructuresImproved Bottom-up Deep Learning Approach for Neuronal Cell Instance Segmentation
Improved Bottom-up Deep Learning Approach for Neuronal Cell Instance SegmentationOffloading of IoT Workloads in Peer-to-Peer Networks using WebAssembly
Edge computing offers a framework for offloading the computational effort required by IoT applications.However, privacy issues and cost constraints for cloud infrastructures pose substantial difficulties to IoT service deployment. We wish to look at the possibilities of Peer-to-Peer networks and WebAssembly for IoT task offloading. As a result, a comparison of existing offloading tactics and ...European Parliaments On Twitter during the Ukraine War: Analyzing Parliamential Influentials and Communities over Time
Politicians are highly public individuals. A lot of data on them is available online. Many try to use social media such as Twitter to express their views, support other members of their party or interest groups, and interact with the public. Some also use it to branch out and connect to other countries’ politicians or ...