معرفی
Dr. Dmitry Kabanov is a Researcher at the Institute for Analysis and Numerical Analysis, part of the Department of Mathematics and Computer Science at the University of Münster. His primary affiliations include membership in Mathematics Münster, a research cluster focusing on interdisciplinary mathematical challenges. His research expertise spans numerical analysis, machine learning, and scientific computing, with a focus on high-dimensional problems, fluid dynamics, and combustion processes.
Key research interests include developing numerical methods for complex systems, applying machine learning to fluid dynamics, and analyzing detonation stability through computational techniques. His work bridges theoretical mathematics with practical applications in physics and engineering, leveraging advanced computational frameworks to address real-world phenomena.
Publications highlight contributions to detonation stability analysis, neural network-based fluid flow modeling, and interdisciplinary projects like the MaRDI initiative for scientific computing interoperability. Collaborations involve international teams tackling challenges in computational physics, machine learning, and high-dimensional approximation methods. Dr. Kabanov’s research also emphasizes resolving parameters in elastic anisotropy and developing minimal hyperbolic systems for unstable shock waves.
He is affiliated with the Applied Mathematics Münster group and contributes to the Institute’s advanced seminars and numerical analysis projects. His office is located at Orleans-Ring 10, and he can be reached via email at dmitry.kabanov@uni-muenster.de. Administrative support is provided by Ms. Silvia Wernke.
