Lukas Schulte, M.Sc., studied industrial engineering with a focus on production management at the Technical University of Dortmund. He works as a research assistant at the Institute of Production Systems at the TU Dortmund University and is doing his doctorate in the area of objectifying industrial testing procedures to reduce quality costs. His work focuses on the design of zero-defect production through advanced data analytics.

• Data-driven zero-defect production

• Supervision of project and final theses
• Execution of lectures of the IPS
• Execution of tutorials to the lectures of the IPS

• Data mining based test gate design

Schulte, Lukas; Schmitt, Jacqueline; Meierhofer, Florian; Deuse, Jochen (2020): Optimizing Inspection Process Severity by Machine Learning under Label Uncertainty. In: Isabel L. Nunes (Hg.): Advances in Human Factors and Systems Interaction. Proceedings of the AHFE 2020 Virtual Conference on Human Factors and Systems Interaction. International Conference on Applied Human Factors and Ergonomics (AHFE). USA (Virtual Conference), 16. - 20.07.2020. Cham, Switzerland: Springer.

Schulte, Lukas; Schmitt, Jacqueline; Stankiewicz, Lukas; Deuse, Jochen (2020): Industrial Data Science. Interdisciplinary Competence for Machine Learning in Industrial Production. In: Thorsten Schüppstuhl, Kirsten Tracht und Dominik Henrich (Hg.): Annals of Scientific Society for Assembly, Handling and Industrial Robotics. Bayreuth, 11.-12.03.2020. Berlin: Springer Vieweg, S. 161–171.