Andreas Burgdorf, M.Sc.
Scientific Researcher
Area of Research:
- Natural Language Processing
- Anonymization
- Machine Learning
- Mobile Health
Biography
Andreas Burgdorf joined the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal in September 2019 as a research associate and doctoral student.
His research focuses on data analysis, machine learning, and industrial natural language processing, as well as on the topics of anonymization and monitoring sleep using mobile sensor technology.
Mr. Burgdorf studied computer science with the application subject medicine at RWTH Aachen University. There, he was a research associate at the Cybernetics Lab IMA & IfU from October 2016 to August 2019, where he conducted various research and development projects on the use of machine learning and natural language processing in the fields of logistics, telecommunications, and manufacturing.
Publikationen
- 2021
- Paulus, A., Burgdorf, A., Pomp, A., & Meisen, T. (2021). "Recent Advances and Future Challenges of Semantic Modeling" in 2021 IEEE 15th International Conference on Semantic Computing (ICSC) , IEEE 70—75.
ISBN: 978-1-7281-8899-7
- Pomp, A., Paulus, A., Burgdorf, A., & Meisen, T. (2021). "A Semantic Data Marketplace for Easy Data Sharing within a Smart City" in Proceedings of the 30th ACM International Conference on Information & Knowledge Management , Demartini, Gianluca and Zuccon, Guido and Culpepper, J. Shane and Huang, Zi and Tong, Hanghang, Eds. New York, NY, USA : ACM 4774—4778.
ISBN: 9781450384469
- Paulus, A., Burgdorf, A., Puleikis, L., Langer, T., Pomp, A., & Meisen, T. (2021). "PLASMA: Platform for Auxiliary Semantic Modeling Approaches" in Proceedings of the 23rd International Conference on Enterprise Information Systems , SciTePress 403—412.
ISBN: 978-989-758-509-8
- 2020
- Burgdorf, A., Pomp, A., & Meisen, T. (2020). "Towards NLP-supported Semantic Data Management" , arXiv preprint arXiv:2005.06916 .
- Pomp, A., Paulus, A., Burgdorf, A., & Meisen, T. (2020). "Verbesserung der Nutzbarkeit von Open Data auf Basis eines semantischen Datenmarktplatzes" in OKNRW - ONLINE BARCAMP 2020 Science-Track , 14—15.