Dr.-Ing. Lukas Schulte is an expert in data-driven production optimization and industrial artificial intelligence. After earning his degree in industrial engineering with a focus on production management from the Technical University of Dortmund, he completed his doctorate at the Institute for Production Systems on autonomous process optimization using machine learning methods in electronics manufacturing. His work focuses on the development of intelligent assistance and decision-making systems that independently analyze and optimize production processes while balancing competing objectives. He combines research and practical experience with the goal of shaping the next generation of data-driven and autonomous production systems.

• 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.