Jan Ehlenbröker

Jan Ehlenbröker – Research & AI-Driven Process Optimization
Jan Ehlenbröker is a dedicated scientist specializing in the development and application of advanced machine learning techniques. He is currently working on the transfer project “AutoDis” as part of the Arbeitswelt.Plus initiative. The goal of this project is to support workers in analyzing dispersion tests by utilizing AI technologies, thereby increasing efficiency and accuracy in industrial processes.

Starting early 2025, Jan Ehlenbröker will contribute his expertise to the DATIpilot-funded project “OptiCoil.” This project focuses on AI-driven process optimization for the sustainable production of steel springs. The primary aim is to reduce material usage and emissions, enabling resource-efficient manufacturing. His work on “OptiCoil” will also form the basis of his upcoming employment contract and marks a significant step in his professional career.

Through his projects, Jan combines technological innovation with practical application to develop forward-thinking solutions for the industry. His passion for the collaboration between humans and AI shapes his research approach, which always aims to make processes both more sustainable and more effective.

With his work, Jan Ehlenbröker makes a significant contribution to advancing modern work and production methods that meet the challenges of the future.