Nils Hütten, M.Sc.
Scientific Researcher
Area of Research:
- Machine learning and Deep learning
- Computer Vision
- Industrial Artificial Intelligence
- Explainable AI
Biography
Nils Hütten has been a research assistant at the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal since March 2021 and a doctoral student since the end of 2022.
Mr. Hütten studied mechanical engineering at RWTH Aachen University with a focus on information technology topics and medical technology. As part of his master's thesis, he worked on visualizing the decision-making basis of AI models and improving their traceability in a production context. At the TMDT he dedicates himself to the research topics Industrial and Explainable AI.
Publications
- 2021
- Meyes, R., Hütten, N., & Meisen, T. (2021). "Transparent and Interpretable Failure Prediction of Sensor Time Series Data with Convolutional Neural Networks" , Procedia CIRP , 104 , 1446—1451.
