Florian Hölken, M.Sc.
Scientific Researcher
Area of Research:
- Machine and Deep Learning
- Dataspaces and Data Catalogues
- Semantic Technologies
Biography
Florian Hölken has been a research associate at the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal since September 2023. He first joined the institute in January 2022 as a technical assistant. He completed his bachelor's degree in economics and computer science at the same university. For his master's degree, he specialized exclusively in computer science with a focus on data science. In his master's thesis, entitled “Neuroscience-inspired Ablation Studies for Vision Transformers”, he dealt intensively with the applicability and suitability of ablation studies on vision transformers.
His current research focuses on the development of semantic data catalogs, which can play an important role in the networking of data systems, such as solid-based dataspaces.
Publications
- 2025
- Hütten, N., Hölken, F., Tercan, H., & Meisen, T. (2025). Detection Transformers Under the Knife: A Neuroscience-Inspired Approach to Ablations.
- Hölken, F., Paulus, A., Meisen, T., & Pomp, A. (2025). "Smart City Urban Heat Monitoring using a Solid-based Dataspace" in The Third International Workshop on Semantics in Dataspaces, co-located with the Extended Semantic Web Conference .
- 2024
- Hütten, N., Alves Gomes, M., Hölken, F., Andricevic, K., Meyes, R., & Meisen, T. (2024). "Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers" , Applied System Innovation , 7 (1),
- Paulus, A., Hölken, F., Chmielewski, S., & Pomp, A. (2024). "IoT4H: Datengewinnung und -nutzung für innovative Geschäftsmodelle im Handwerk" , HMD Praxis der Wirtschaftsinformatik , 61 (6), 1540—1550.
