Fabian Wein

Dr. Fabian Wein serves as a Senior Scientist at the Chair of Applied Mathematics (Continuous Optimization) within the Department of Mathematics at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). His research focuses on advanced optimization techniques with applications in structural design and additive manufacturing. Wein maintains an active research profile with numerous publications in leading optimization journals and collaborates extensively within Michael Stingl's research group.

Wein's research interests center on topology optimization methodologies, particularly feature-mapping approaches for structural optimization. His work bridges theoretical mathematics with practical engineering applications, especially in the context of additive manufacturing technologies. He has made significant contributions to two-scale optimization of graded lattice structures, buckling analysis of cellular structures, and optimization of piezoelectric devices. His research demonstrates a consistent focus on developing computationally efficient methods that respect manufacturing constraints while achieving optimal structural performance.

Analysis of Wein's recent publications reveals a strong trend toward multiscale optimization approaches that integrate microstructural design with macroscopic performance requirements. His work increasingly addresses the challenges of additive manufacturing, particularly in developing optimization frameworks that account for process-structure-property relationships. The research spans from fundamental mathematical developments to practical applications in electromechanics, fluid dynamics, and structural mechanics.

Wein actively participates in academic advising and research supervision, as evidenced by his involvement with master's theses such as 'Optimization of a Solar Air Heater' (2022). His research has received substantial citations, indicating significant impact in the optimization community. The work is often supported through collaborations with institutions like the Max Planck Society and Fraunhofer Institutes, leveraging FAU's strong research ecosystem.

Within the research environment at FAU, Wein contributes to the Continuum Optimization group that maintains several computational resources including openCFS (an open-source C++ FEM framework with structural optimization capabilities) and iTop (an interactive educational topology optimization platform). His work connects with broader university initiatives in advanced manufacturing and computational engineering, contributing to FAU's position as one of Germany's leading research universities with over 14,000 staff members across the Nuremberg Metropolitan Region.