Constantin Waubert de Puiseau, M.Sc.

Research Associate

Research interests:

• Deep reinforcement learning for production planning and warehouse logistics
• Industrial Deep Learning and Data Science
• Artificial Intelligence in Operations Research

Biography

Constantin Waubert de Puiseau joined the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal as a scientific researcher and Ph.D. student in December 2019.

Mr. Waubert de Puiseau studied mechanical engineering at RWTH Aachen University, with a focus on information technology applications in production and medical engineering. In his master thesis, he investigated artificial neural networks and developed methods to visualize the representation of knowledge stored in the networks. 

At the TMDT he works on machine learning applications in the industrial context. A particular focus, which is the core of his dissertation, is research on robust and interpretable production scheduling using deep reinforcement learning.

Publications