Michael Rom

Dr. Michael Rom is a researcher at the Institute for Geometry and Practical Mathematics (IGPM), part of the Faculty of Mathematics, Computer Science, and Natural Sciences at RWTH Aachen University, Germany. He is actively engaged in applied mathematics and computational engineering, with a strong focus on fluid dynamics, tribology, and machine learning applications in industrial processes.

Research Interests:

• Physics-Informed Neural Networks
• Transpiration Cooling and Porous Media Flow
• Hydrodynamic Lubrication and Cavitation Modeling
• Reduced Basis and Homogenization Methods
• Grid Generation and B-Spline Surfaces
• Grinding Wheel and Surface Modeling

His recent publications (2021–2025) show a clear trend toward integrating deep learning and data-driven methods into classical engineering problems, particularly in manufacturing, aerospace thermal protection, and tribological systems. He frequently collaborates with experts in mechanical engineering and materials science, bridging disciplines to solve complex multiphysics problems.

Scientific Awards:

• No awards mentioned in the provided text.

Dr. Rom has supervised or co-supervised several students, as evidenced by co-authored works with individuals like M. Schultz, F. Brumand-Poor, and V. König. He has also contributed to teaching at RWTH Aachen, offering courses in numerical computation and finite element methods. His research is supported by collaborations with industrial and academic partners, particularly in digital production and thermal spray technologies.

Laboratories and Research Teams:

• Institute for Geometry and Practical Mathematics (IGPM), RWTH Aachen
• Collaboration with the Chair of Production Metrology and Quality Management (F. Klocke)
• Part of interdisciplinary projects such as Internet of Production and Monetization of Technical Data