Institute for Technologies and Management of Digital Transformation

Andreas Burgdorf, M.Sc.

Scientific Researcher

Area of Research:

  • Natural Language Processing
  • Large Language Models
  • Semantic Data Management
  • Artificial intelligence in a university context

Biography

Dr. Andreas Burgdorf has been working as a research assistant at the TMDT at the University of Wuppertal since September 2019.

Dr. Burgdorf studied computer science with a focus on medical applications at RWTH Aachen University. From October 2016 to August 2019, he was a research assistant at the Cybernetics Lab IMA & IfU, where he carried out various research and development projects on the use of machine learning and natural language processing in the fields of logistics, telecommunications, and production before moving to the University of Wuppertal. There, he received his doctorate in April 2025 with a thesis entitled “A Novel Approach to Semantic Mapping through a Documentation-Centric Methodology.”

He took over as head of KI4BUW in 2023 and is involved in various aspects of strengthening AI expertise at the University of Wuppertal.

Publikationen

2025
Hoseini, S., Burgdorf, A., Paulus, A., Meisen, T., Quix, C., & Pomp, A. (2025). "Challenges and Opportunities of LLM-Augmented Semantic Model Creation for Dataspaces" in The Semantic Web: ESWC 2024 Satellite Events , Meroño Peñuela, Albert and Corcho, Oscar and Groth, Paul and Simperl, Elena and Tamma, Valentina and Nuzzolese, Andrea Giovanni and Poveda-Villalón, Maria and Sabou, Marta and Presutti, Valentina and Celino, Irene and Revenko, Artem and Raad, Joe and Sartini, Bruno and Lisena, Pasquale, Eds. Cham : Springer Nature Switzerland , 183—200.

ISBN: 978-3-031-78954-0

Ma, Z., Bahja, A. R., Burgdorf, A., Pomp, A., Meisen, T., Jørgensen, B. N., & Ma, Z. G. (2025). "Multi-Agent Multimodal Large Language Model Framework for Automated Interpretation of Fuel Efficiency Analytics in Public Transportation" , Applied Sciences , 15 (21), 11619. arXiv .
Ma, Z., Bahja, A. R., Burgdorf, A., Pomp, A., Meisen, T., Jørgensen, B. N., & Ma, Z. G. (2025). "Multi-Agent Multimodal Large Language Model Framework for Automated Interpretation of Fuel Efficiency Analytics in Public Transportation" , Applied Sciences , 15 (21), 11619.
2024
Hoseini, S., Burgdorf, A., Paulus, A., Meisen, T., Quix, C., & Pomp, A. (2024). "Towards LLM-augmented Creation of Semantic Models for Dataspaces" in The Second International Workshop on Semantics in Dataspaces, co-located with the Extended Semantic Web Conference .
2023
Paulus, A., Burgdorf, A., Pomp, A., & Meisen, T. (2023). "Collaborative Filtering Recommender System for Semantic Model Refinement" in 2023 IEEE 17th International Conference on Semantic Computing (ICSC) , IEEE 183—190.

ISBN: 978-1-6654-8263-9