معرفی
Johannes Erdmann is a University Professor and leads the Research and Teaching Area of Big Data Analytics in Physics at RWTH Aachen University. He is affiliated with the Department of Physics within the Faculty of Mathematics, Computer Science and Natural Sciences. His research integrates advanced data science techniques with fundamental physics investigations.
His research focuses on leveraging big data and machine learning methods to solve complex problems in particle and astroparticle physics. Key areas include the physics of the Higgs boson, data analysis at the CMS experiment at CERN, and the development of deep learning techniques for high energy physics. He also contributes to gravitational wave physics, particularly in noise suppression strategies for the future Einstein Telescope.
The recent publications highlight a strong trend toward methodological innovation, especially in deep learning applications for particle physics simulations and data analysis. His team is actively developing novel neural network architectures, fast simulation tools, and automated quality assurance systems, all aimed at enhancing the precision and efficiency of large-scale physics experiments.
- Heisenberg-Professur funded by the Deutsche Forschungsgemeinschaft (DFG)
Prof. Erdmann supervises research projects and leads a research group focused on data-intensive physics. He is actively involved in securing and managing research grants, particularly those supporting computational and methodological developments in experimental physics. His group collaborates with international teams at CERN and within the Einstein Telescope consortium.
His research group, part of the Big Data Analytics in Physics unit, works on cutting-edge challenges in data processing for particle and gravitational wave physics. The team develops deep learning models, simulation frameworks, and data quality tools, contributing to major international collaborations such as CMS and the Einstein Telescope project.
