Ulrich Kerzel

Ulrich Kerzel is an Adjunct Professor at RWTH Aachen University, affiliated with the Faculty of Georessources and Materials Technology. He leads the Chair of Materials Physics and the Institute for Metallurgy and Material Physics. His research focuses on materials science, metallurgy, and the application of machine learning to material characterization and damage analysis. Key areas include microstructure analysis, alloy behavior prediction, and AI-driven microscopy enhancements.

His work integrates advanced computational techniques with traditional materials testing, emphasizing digital transformation in materials laboratories. Recent projects involve 3D damage visualization in steels and predictive modeling of magnesium alloys using machine learning. Kerzel also explores interdisciplinary applications, such as demand forecasting in retail and AI integration into business processes.

Notable contributions include pioneering studies on grain boundary segregation in composites and panoramic image analysis for damage assessment. His publications span over two decades, with a focus on bridging fundamental materials science and applied AI solutions.