Yannik Hahn, M.Sc.
Scientific Researcher
Area of Research:
- Machine and Deep Learning
- Natural Language Processing
- Explainable AI
Biography
Yannik Hahn joined the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal in June 2021 as a research assistant and doctoral student.
Mr. Hahn studied computer science at Heinrich Heine University in Düsseldorf in his bachelor's and then in his master's degree with a focus on machine learning and deep learning. In his master's thesis, he investigated the ability of transformer-based neural networks to summarize texts across languages. At the TMDT he will dedicate himself to the research topics Reinforcement Learning and Explainable AI.
Publications
- 2023
- Langer, T., Welbers, V., Hahn, Y., Wönkhaus, M., Meyes, R., & Meisen, T. (2023). "Visual Interactive Exploration and~Labeling of~Large Volumes of~Industrial Time Series Data" in Enterprise Information Systems , Filipe, Joaquim and Śmiałek, Michał and Brodsky, Alexander and Hammoudi, Slimane, Eds. Cham : Springer Nature Switzerland 85—108.
ISBN: 978-3-031-39386-0
