Open and ongoing student projects
Open topics
Feel free to contact us if you are interested in contributing to one of our projects or more generally to a topic related to our research as part of a student project. Ideally, you have attended one or more of our courses. For further assessment we encourage you to send us your current transcript.
Ongoing projects
- Benchmarking pre-trained language models for schema-agnostic entity resolution
Jan Bothmann - Machine learning methodology for robot axis value predictions
Meng Sun, Master thesis
Completed student projects
- Leveraging Large Language Models for Entity Matching
Moritz Pfeffer, Master thesis - Fairness-Monitoring in Data Preparation Pipelines
Patrick Epple, Bachelor thesis - Development of an interactive system for the FALCC framework
Linus Zaiser, Bachelor thesis - Studying bias in machine learning using visual exploration
Alaa Elghazaly, research project - Modern architectures for data integration in AEC
Pawan Waldia, research project - Effective Entity Resolution on Dynamic Data
Maksim Helmann, research project
- Maximizing prediction diversity in model ensembles for locally fair classifications
Ole Nies, Bachelor thesis
- Evaluation of the Usefulness of Explanations for Entity Resolution
Himanshu Acharya, Master thesis - Systematic evaluation of approaches for fair machine learning
Julian Valentin Eble, Bachelor thesis - Data Lake Services zur interoperablen Datenverwaltung in Bauprojekten
Emil Czychon, Christopher Dahl, Christian Bartsch, Entwicklungsprojekt - Deep Learning in Stream Entity Resolution
Suhas Devendrakeerti, Master thesis
- Tracking and Preparing Simulation Metadata for Publishing
Anne Lendl, Master thesis - Assessment of data processing steps with provenance
Malte Meiners, Bachelor thesis - Model metadata sheets for transparency and accountability
Melissa Tundo, Bachelor thesis - Developing fair and personalized machine learning models
Nico Lässig, Master thesis - Incremental Schema-agnostic Blocking for Entity Resolution of Web Data
Kareem Elzayat, Master thesis - Minimizing Labelling Bias during Label Categorization
Tuan Nam Vu, Bachelor Thesis
- Visual Exploration of Decision Support Systems
Sujanthan Sureshkumar, Bachelor Thesis - Analysis Techniques for Claim Data Mining
Mehran Chowdhury, Master Thesis - Nutzbarkeit von Data Profiling Metadaten in transparenten Entscheidungsunterstützungssystemen
Benjamin Vier, Bachelor thesis - Ontology-based Product Catalog Exploration
Nour Ramzy, Master thesis - Storing and Visualizing Structural Provenance
Markus Schweizer, Master thesis - Why-not provenance for nested data in Spark
Matthias Wagner, Master thesis - Erkennung von Verzerrung in Entscheidungsunterstützungssystemen
Lars Gröninger, Melissa Tundo, Tuan Nam Vu, Bachelor research project
- Provenance for Nested Data in DISC Systems
Wilhelm Stephan, Master thesis - Data Repository and Generator for Provenance Evaluation Benchmarking
Anne Lendl, Bachelor thesis - Tree Pattern Matching in DISC Systems
Shamim Ahmed, Master thesis
- Design and Implementation of provenance-driven visualization recommendation for visual data exploration
Henry Khang Vu, Bachelor thesis - Data Provenance for Entity Resolution
Sarah Oppold, Master thesis - NedExplain meets Nautilus
Matthias Wagner, Bachelor Thesis - Workload based Provenance Capture Reduction
Priyanka Jadhav, Master thesis - NautilusWeb – Visualisierung aktueller Data Provenance Algorithmen im Web
Birgit Ast, Benjamin Cadell, Natalia Mendel, Bachelor project computer science
- Explaining Missing Answers of Hierarchical Data Processing in Spark
Karsten Meyer, Master thesis - Vergleich von Provenance Fähigkeiten in Workflow Systemen
Olga Schretter, Dominik Sautter, Matthias Wagner, Fachstudie