Hajo Wiemer

Hajo Wiemer is a Researcher at the Department of Process Informatics and Machine Data Analysis within the Faculty of Mechanical Science and Engineering at Dresden University of Technology. His work bridges data-driven methodologies with mechanical engineering, focusing on machine learning, thermal error compensation, and digital twins.

• Research Focus: Usable AI, additive manufacturing, and data mining in production systems.
• Key Contributions: Development of the DMME framework, ontology-based data management, and thermal simulation-driven models.

Dr. Wiemer’s recent publications emphasize machine learning robustness, domain-specific AI applicability, and data-driven quality assurance in cyber-physical systems. He actively collaborates on projects like AMTwin and SaxFDM, addressing challenges in interdisciplinary engineering data integration.