Supervision

PhD Supervision

  1. Tadesse Destaw Belay, 2023+: Leveraging Large Language Model for Emotion Processing
  2. Abinew Ali Ayele, 2020-2024: Hate Speech Detection and Analysis for Low-Resource Languages: The Case for Amharic

MA Thesis Supervision

  1. Hina Samreen, 2025: Comprehensive Overview of Sentiment Analysis for German Language Texts: Data Collection, Model Development, Interpretability, and Evaluation
  2. Rudy Alexandro Garrido Veliz, 2025: Discourse classifier for neo-fascism in the United States of America societal context
  3. Christian Schuler, 2024: Leveraging Morphological and Lexical Features in Synthetic Data Generation for Dialect-Specific Machine Translation
  4. Sören Spiegel, 2024: Adaption and Evaluation of Generative Large Language Models for German Medical Information Extraction
  5. Fabian Rausch, 2022: Transformer-encoder-based financial entity and value extraction with distant supervision
  6. Kavish Bhatia, 2022: Hate Speech Detection in Mixed Languages a Case Study for Hinglish
  7. Max Wiechmann, 2022: ActiveAnno: Flexible and Efficient Document Annotation Tool with Active Learning Integration
  8. Skadi Jule Dinter, 2022: Report on the master thesis: Multilingual Racial Hate Speech Detection: Annotation and Experimentation
  9. Soniya Vijayakumar, 2022: Fake News Detection with Journalists-in-the-Loop
  10. Hizkiel Bekele, 2021: Sentiment Analysis Research for Amharic using Twitter Dataset
  11. Tadese Destaw Belay, 2020: Impacts of Text Normalization on Semantic Models for Languages Written in Fidel Script
  12. Steffen Stahlhacke, 2020: Study and Creation of Datasets for Comparative Question Classification
  13. Valentin Strauß, 2020: Using data augmentation to improve speech recognition for low resourced languages - Amharic
  14. Karaoguz, Ethem Can, 2018: Adaptive Learning Strategies for Neural Paraphrase Generation
  15. Franziska Kissel, 2019: Game with a purpose – Collecting a part-of-speech tagging dataset with a 2D game

BA Supervision

  1. Sebastian Rühmann, 2024: Working towards shared-bike availability: an interpretable bikesharing demand prediction with Temporal Fusion Transformer
  2. Valentin Strauß, 2024: Detection of Charge Operation Patterns through Clustering of Open Charge Operation Protocol
  3. Dmitrii Milovanov, 2023: Intelligent Acquisition and Analysis of Urban Actors' Data for the Promotion of Urban Mobility on the Example of Hamburg's District Assemblies
  4. Jelle Prins, 2022: Using Natural Language Processing Techniques to Simplify Software User Interfaces of Farm Management Information Systems The case of Poultry Connect