Thomas Apel

Thomas Apel is a Professor of Mathematics at Universität der Bundeswehr München (UniBw München), where he maintains an active research program in numerical analysis and computational mathematics. His academic career began at TU Chemnitz (formerly TH Karl-Marx-Stadt), where he completed his PhD in 1991 and habilitation in 1999. He has been supervising PhD students since 2006, with his most recent student completing in 2022, demonstrating his ongoing academic engagement and leadership in the field.

Apel's research focuses on challenging mathematical problems involving singularities, optimal control, and specialized mesh techniques. His work bridges theoretical numerical analysis with practical applications for solving complex partial differential equations. He has made significant contributions to the development of anisotropic finite element methods, error estimation techniques, and adaptive algorithms for problems with geometric singularities.

His publication record spans over three decades, with continuous contributions to top numerical analysis journals through 2024. His recent work shows increasing focus on pressure-robust methods for fluid dynamics problems, isogeometric analysis for complex geometries, and mathematical modeling of biological processes. The consistent quality and relevance of his research have established him as a leading figure in computational mathematics.

• Member of the Scientific Committee of the annual Chemnitz Finite Element Symposium
• Supervised 9 PhD students since 2006
• Author of numerous journal articles, books, and conference proceedings
• Active researcher with publications continuing through 2024

Apel's academic journey reflects a deep commitment to advancing numerical methods for challenging mathematical problems. His work has evolved from foundational contributions to anisotropic finite elements to more recent applications in fluid dynamics, eigenvalue problems, and interdisciplinary mathematical modeling. His sustained research productivity and mentorship of the next generation of numerical analysts demonstrate his enduring impact on the field.