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
- 2019
- Haßler, M., Burgdorf, A., Pomp, A., Kohlschein, C., Busing, C., & Jonas, S. (2019). "A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment" in 2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom) , IEEE 1—4.
ISBN: 978-1-7281-0402-7
- Kerz, E., Burgdorf, A., Wiechmann, D., Meeger, S., Qiao, Y., Kohlschein, C., & Meisen, T. (2019). "Understanding Vocabulary Growth Through An Adaptive Language Learning System" in Proceedings of the 8th Workshop on NLP for Computer Assisted Language Learning , Turku, Finland : LiU Electronic Press 65—78.
- 2018
- Kohlschein, C., Klischies, D., Paulus, A., Burgdorf, A., Meisen, T., & Kipp, M. (2018). "An Extensible Semantic Search Engine for Biomedical Publications" , 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) .
- Haßler, M., Burgdorf, A., Kohlschein, C., & Meisen, T. (2018). "Similarity Recognition of Interval-Based Sleep Data" , 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) .
- Burgdorf, A., Güthe, I., Jovanovi\'c, M., Kutafina, E., Kohlschein, C., Bitsch, J. Á., & Jonas, S. M. (2018). "The mobile sleep lab app: An open-source framework for mobile sleep assessment based on consumer-grade wearable devices" , Computers in biology and medicine , 103 , 8—16.
