Florian Hölken, M.Sc.
Scientific Researcher
Area of Research:
- Semantic Interoperability
- Dataspaces
- Machine and Deep Learning
- Explainable and Transparent Artificial Intelligence
Biography
Florian Hölken has been a research assistant at the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal since September 2023. He initially joined the institute as a technical assistant in January 2022.
His research focuses on the semantic interoperability of networked digital systems with the aim of enabling consistent and cross-contextual information exchange between heterogeneous systems. Another focus is on dataspaces, which support the secure, sovereign, and value-adding use of data across organizational boundaries.
In addition, he works on machine learning and deep learning methods for analyzing complex data sets and developing intelligent, data-driven applications. He pays particular attention to explainable and transparent artificial intelligence, especially with regard to traceability, trustworthiness, and the responsible design of algorithmic decision-making systems.
Publications
- 2024
- 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.