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Richard Meyes, M.Sc.

Chair of Technologies and Management of Digital Transformation
Rainer-Gruenter-Str. 21
D-42119 Wuppertal

Office: FME 01.03

Tel.:   +49 202 439 1046
Email: meyes{at}

External profile


Richard Meyes

Scientific Researcher

Head research "Explainable and Interpretable AI" and "Industrial Sensory Data Analysis

Research interests:

  • 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.

Selected publications

Richard Meyes; Moritz Schneider; Tobias Meisen
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
Richard Meyes; Hasan Tercan; Tobias Meisen
Artificial Intelligence in Automotive Production
Mobility in a Globalised World 2018, 22:308--324
Richard Meyes; Johanna Donauer; Andre Schmeing; Tobias Meisen
A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data
Procedia Manufacturing, 34:789--797
ISSN: 2351-9789
Richard Meyes; Melanie Lu; Constantin Waubert de Puiseau; Tobias Meisen
Ablation Studies to Uncover Structure of Learned Representations in Artificial Neural Networks
Proceedings of the 2019 International Conference on Artificial Intelligence (ICAI),
Richard Meyes; Christian Scheiderer; Tobias Meisen
Continuous Motion Planning for Industrial Robots based on Direct Sensory Input
Procedia CIRP, 72:291--296
ISSN: 22128271
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