Teaching

Karlsruhe University of Applied Sciences:

• Natural Language Processing (BA and MA lecture)

  • summer '25, summer '24, summer '23

• Artificial Intelligence (MA lecture)

  • summer '25, winter '24/'25,  summer '24, winter '23/'24, summer '23

• Explainable Artificial Intelligence (MA lecture)

  • summer '25, winter '24/'25,  summer '24, winter '23/'24

• Datenbanken und Datenkunde 2 (BA lecture, with Prof. Dr. Peer Küppers)

  • summer '25, winter '24/'25,  summer '24, winter '23/'24, summer '23

• Wissenschaftliches Arbeiten (MA lecture, with Prof. Dr. Jan Stöß and Dr. Djerdj Horvat)

  • summer '25, winter '24/'25,  summer '24, winter '23/'24, summer '23

• Data Engineering (BA lecture)

  • winter '24/'25,  winter '23/'24

• Planung von Informationssystemen (BA lecture)

  • winter '24/'25,  summer '24, winter '23/'24, summer '23

• Supervision of Student Projects (Anwendungsprojekte, BA)

  • summer '25, summer '23

Before joining the Karlsruhe University of Applied Sciences, I gave several lectures and seminars in English and German at the computer science institutes of Saarland University, Heidelberg University and the Karlsruhe University of Applied Sciences:

• Data Engineering, core lecture, Hochschule Karlsruhe, winter '22/'23

• Information Retrieval and Data Mining, core lecture, Saarland University, winter '17/'18, (with Jilles Vreeken)

• Big Data and Advanced Database Concepts, lecture, Hochschule Karlsruhe, summer '17, (with Andreas Schmidt)

• Information Extraction, seminar, Saarland University, winter '16/'17

• Advanced Topics in Information Retrieval, lecture, Saarland University, summer '16, (with Vinay Setty)

• Event Extraction, seminar, Heidelberg University, summer'15, (with Michael Gertz, Johanna Geiß, Thomas Bögel, Andreas Spitz)

• Recommender Systems, seminar, Heidelberg University, summer '14, (with Michael Gertz, Christian Sengstock, Thomas Bögel)

• Social Networks Data Analytics, seminar, Heidelberg University, winter '13/'14, (with Michael Gertz, Christian Sengstock, Thomas Bögel)

• Topic Models, seminar, Heidelberg University, summer '13, (with Michael Gertz, Christian Sengstock)

• Text Mining, seminar, Heidelberg University, winter '11/'12, (with Michael Gertz)

• Spatio-temporal Logics and Reasoning, seminar, Heidelberg University, winter '10/'11, (with Michael Gertz)

• Text Mining, seminar, Heidelberg University, summer '10, (with Michael Gertz)

Supervision

I am currently (co-)supervising / supervised three PhD students at BCAI:

• Mingyang Wang, co-supervised with Hinrich Schütze (LMU Munich),  Heike Adel-Vu and Lukas Lange (2022-) 

• Subhash Chundra Pujari, co-supervised with Michael Gertz (Heidelberg University) and Annemarie Friedrich (2019-2023)

  • Neural Patent Classification beyond Title and Abstract: Leveraging Patent Text and Metadata (pdf)

• Lukas Lange, co-supervised with Dietrich Klakow (Saarland University) and Heike Adel-Vu (2019-2022)

  • Robust input representations for low-resource information extraction (pdf)

(Co-)supervised Bachelor and Master Theses

I supervise various Bachelor and Master theses at the Karlsruhe University of Applied Sciences. Finished ones are:

1. Evaluating the Utility of Vocabulary to Language Learners
   (Leonard Paal, MA, 2025 @ HKA)

2. LLM-based (Multi-)Agent Systems in an Enterprise Context
   (Johannes Groß, MA, 2025 @ embraceable Technologies GmbH) 

3. Gestaltung der Persönlichkeitsdimension Humor bei Conversational Agents
   (Erik Kuhn, MA, 2025 @ FZI)

4. Optimization of a RAG Chatbot for Commodity Hardware
   (Leon Dietrich, MA, 2025 @ Aunovis GmbH)

5. Von Daten zu Lösungen: KI-gestützte Ansätze zur effizienten Bearbeitung von Servicevorfällen
   (Max Nieser, MA, 2025 @ ARBURG GmbH + Co KG) 

Joint Paper based on this thesis:
RAG-basierte Ersatzteilprognose und Lösungsfindung bei Servicevorfällen. Max Niesner, Thomas Steinhart, Jannik Strötgen. AKWI'25.

6. Multilingual NLP Analysis of the UEFA Euro 2024 Coverage
   (Paul Löhr, MA, 2025 @ HKA) 

7. Machine-Learning-gestützte Vorhersage der Migrationsdauer in der modellbasierten Entwicklung von E/E-Architekturen
   (Maximilian Dachtler, BA, 2025 @ Vector Informatik GmbH) 

8. Expertensuche für aktives Recruiting in der IT-Beratung am Beispiel der Exxeta AG
   (Achim Seelhorst, BA, 2025 @ exxeta)

9. Transformer-based Biomedical Knowledge Extraction for Risk Factor-Disease Relationships
   (Jana Wiegert, MA, 2024 @ MedicalValues)

10. Einsatz von Legal Question Answering zur Unterstützung der Vertragsprüfung
    (Martin Panaget, MA, 2024 @ dmTech)

11. Anwendung von Large Language Models im Change Control Management
    (Niklas Kohl, MA, 2024 @ Roche)

12. Attention Distillation for Retrieval-Augmented Generation Models
    (Julian Aßmann, MA, 2024 @ SAP)

13. Mulitmodale Fragebeantwortung auf einem Wissensgraphen im Prozessbereich unter Nutzung eines umfangreichen Sprachmodells
    (Pascal Brodziak, MA, 2024 @ SAP)

14. LLM-basiertes Matching für digitales Recruiting
    (Benedict Hils, MA, 2024 @ Objektkultur)

15. Context-aware Task Disengagement Detection using Natural Language Processing for Personalized Digital Wellbeing
    (Marc Puikys, BA, 2024 @ HKA)

16. LLM-basierte Optimierung unternehmensinterner Prozesse
    (Moritz Köhn, BA, 2024 @ Bechtle)

17. Expert Search and Context-Adaptive CVs with Transformers
    (Mario Eljuga, MA, 2023-2024, @ exxeta)

18. Generating Personalised Customer Messages with Large Language Models
    (Christian Quindt, MA, 2023-2024, @ dmTech)

19. A User Behavior-Aware Cache Eviction Strategy for Large-Scale Mail Storage Systems
    (Fabian Klein, MA, 2023-2024, @ 1und1 Mail & Media Development & Technology GmbH)

20. LLM-based Translation into Logic Programs for Visual Question Answering
    (Bileam Scheuvens, BA, 2023-2024, @ Bosch Center for AI) 

Joint Paper partially based on this thesis:
Explainable Zero-Shot Visual Question Answering via Logic-Based Reasoning. Thomas Eiter, Jan Hadl, Nelson Higuera Ruiz, Lukas Lange, Johannes Oetsch, Bileam Scheuvens, Jannik Strötgen. NeSy'25.

21. Generierung interaktiver Prüfungsfragen für E-Learning-Videos mithilfe von Large Language Models
    (Michael Harter, BA, 2023-2024, @ Hedgehog Software GmbH)

22. Detecting and Mitigating Temporal Drift in Machine Learning Models
    (Romane Hatz, MA, 2023-2024, @ KPMG AG)

23. A QA-based Search Engine for Bachelor and Master Theses Documents
    (Yuliia Cormier, BA, 2023, @ inovex GmbH)

I (co-)supervised several Bachelor and Master theses at Heidelberg University and Saarland University:

Saarland University (2017-2018)

• Analyzing and Predicting the Stability of Knowledge Base Properties
  (Ioannis Dikeoulias, BA, 2018)

• Emotional Timelines in Novels
  (Fariha Nasir, MA, 2018)

• Improved Multilingual Temporal Tagging with HeidelTime
  (Faraz Ahmad, MA, 2018)

• Time-aware Named Entity Disambiguation
  (Prabal Agarwal, MA, 2017)

• Times on Maps – Extracting, Analyzing and Explaining Dates in Street Names Across the World
  (Rosita Andrade, MA, 2017)

• Sentiment and Emotion Movie Script Annotation
  (Tatiana Anikina, BA, 2017)

• Time in Newspaper – A Large-Scale Analysis of Temporal Expressions in News Corpora
  (Lukas Lange, BA, 2017)

Heidelberg University (2009 – 2014)

• Effektive Indexierung von räumlichen und zeitlichen Daten
  (Christian Karr, BA, 2014)

• Aufbau und Analyse eines Event-Repository aus Wikipedia
  (Andreas Zerkowitz, BA, 2013)

• Methoden zur temporalen Analyse und Exploration von Reviews
  (Viktor Bersch, BA, 2013)

• Extraktion und Normalisierung von Personeninformation für die Kombination mit Spatio-temporal Events
  (Daniel Egenolf, BA, 2013)

• Verbesserung der spatio-temporal Event Extraktion und ihrer Kontextinformation durch Relationsextraktionsmethoden
  (Tobias Limpert, BA, 2013)

• Gazetteer-gestützte Erkennung und Disambiguierung von Toponymen in Text
  (Marek Walkowiak, BA, 2013)

• Modellierung und Analyse heuristischer und linguistischer Methoden zur verbesserten Eventextraktion
  (Manuel Kaufmann, BA, 2012)

• HeiPer HeiPer - Person Comparison based on Name Normalization and Spatio-temporal Events
  (Christian Kapp, MA, 2012)

• Correlation and Exploration of Events
  (Andreas Fay, MA, 2012)

• Ein Event-basiertes Ähnlichkeitsmodell für biomedizinische Dokumente
  (Britta Keller, BA, 2011)

• Modell und Rankingverfahren zur Kombination von textueller und geographischer Suche
  (Frank Tobian, BA, 2011)

• TempusQuaestio: Modellierung und Implementierung einer temporalen Anfragesprache zur Dokumentensuche
  (Marius Iuresi, BA, 2010)

• GeoDok: Extraktion und Visualisierung von Ortsinformationen in Dokumenten
  (Pavel Popov, BA, 2009)