Antonin Königsfeld
Scientific Researcher
Area of Research:
- Machine and Deep Learning
- Explainable AI
- Industrial Artificial Intelligence
- Data analysis and processing
Biography
Antonin Königsfeld has been a research assistant and doctoral candidate at the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal since July 2024.
He studied industrial engineering with a focus on electrical engineering at Düsseldorf University of Applied Sciences and then moved to the University of Wuppertal for his master's degree with a focus on information technology and digitalization. In his master's thesis, he dealt with the interpretability of classification results for time series data from arc welding.
Antonin already worked as a research assistant at the TMDT during his studies and is now focusing his research on machine learning in an industrial context
Publications
- 2025
- Königsfeld, A., Bergmann, D., Wunn, A., Tybussek, K., Karbasi, M., Heim, M., Tercan, H., & Meisen, T. (2025). "AI-driven Configuration for Filling Systems using Generative Adversarial Networks" , Procedia CIRP , 134 , 921—926.
- Hahn, Y., Voets, J., Königsfeld, A., Tercan, H., & Meisen, T. (2025). "Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding" in Proceedings of the 34th ACM International Conference on Information and Knowledge Management , Cha, Meeyoung and Park, Chanyoung and Park, Noseong and Yang, Carl and Basu Roy, Senjuti and Li, Jessie and Kamps, Jaap and Shin, Kijung and Hooi, Bryan and He, Lifang, Eds. New York, NY, USA : ACM 5699—5706.
ISBN: 9798400720406
