Institute for Technologies and Management of Digital Transformation

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

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.
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., Jovanović, 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.

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