Ruming Zhang

Prof. Dr. Ruming Zhang is a Tenure-Track Professor at TU Berlin's Faculty II - Mathematics and Natural Sciences, leading the Analysis and Applications group since May 2023. He specializes in numerical methods for partial differential equations and inverse problems, with a focus on wave scattering and periodic structures. His research bridges theoretical analysis and computational techniques, addressing challenges in areas like photonic crystals and non-destructive testing.

Education & Career:

• PhD in Mathematics (Chinese Academy of Sciences, 2014)
• Postdoctoral Researcher at Michigan Technological University
• Marie-Curie Fellow (University of Bremen, 2015-2018)
• Junior Group Leader at KIT (Karlsruhe Institute of Technology, 2018-2023)

Research Interests: Analysis and numerical methods for PDEs, inverse scattering problems, waveguide analysis, periodic structures, and their applications in nanotechnology and engineering. His work emphasizes high-order numerical schemes and theoretical frameworks for ill-posed problems.

Key Contributions: Development of nonuniform mesh methods for periodic surface scattering, high-order numerical techniques for bi-periodic structures, and monotonicity-based shape reconstruction in waveguides. His methods address challenges in computational wave physics and mathematical modeling.

Awards:

• Richard-von-Mises Prize (GAMM, 2023)
• Marie-Curie Fellowship (EU FP7-PEOPLE, 2015-2017)

Teaching & Mentorship: Offers courses on inverse problems, scattering theory, boundary element methods, and applied analysis. Advises students on thesis topics in mathematical theory for photonic crystals and wave propagation. Actively promotes interdisciplinary collaboration between mathematicians and engineers.

Grants & Projects:

• DFG Grant (2019-2024): Higher-order methods for acoustic scattering in periodic structures
• Marie-Curie COFUND Fellowship (Bremen TRAC, 2015-2017)

Labs/Teams: Leads the Analysis and Applications research group at TU Berlin, focusing on interdisciplinary projects combining mathematical theory with computational tools for real-world applications.