Richard Meyes, M.Sc.
Chair of Technologies and Management of Digital Transformation
Office: FME 01.03
Tel.: +49 202 439 1046
Head research "Explainable and Interpretable AI" and "Industrial Sensory Data Analysis
- Artificial Intelligence and Machine Learning for Industrial Appliations
- Predictive Analysis of Time Series Data in Industrial Sensor Systems
- Structured Representations in Artificial Neural Networks
Richard Meyes works as a scientific researcher at the Chair for Technologies and Management of Digital Transformation at the University of Wuppertal since December 2018. His research focuses on the development and investigation of artificial intelligence methods, with a focus on artificial neural networks in various application fields, including automotive and production.
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
Artificial Intelligence in Automotive ProductionMobility in a Globalised World 2018, 22:308--324
A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series DataProcedia Manufacturing, 34:789--797
Ablation Studies to Uncover Structure of Learned Representations in Artificial Neural NetworksProceedings of the 2019 International Conference on Artificial Intelligence (ICAI),
Continuous Motion Planning for Industrial Robots based on Direct Sensory InputProcedia CIRP, 72:291--296