Michael Hinze

Michael Hinze is a Full Professor (W3) at the Mathematical Institute of Universität Koblenz, where he heads the Working Group on Optimization of Complex Systems. His research develops advanced mathematical methods for solving engineering challenges, particularly in fluid dynamics and computational modeling.

Research interests: Focuses on developing efficient computational algorithms for shape/topology optimization, inverse problems in PDE systems, and data-driven model reduction techniques. Current projects include BMBF-funded work on trustworthy AI systems and DFG-supported fluid dynamic optimization using Lipschitz methods.

Publications consistently demonstrate innovative approaches to optimization challenges, combining theoretical rigor with practical engineering applications. Recent work emphasizes phase-field methods and parallel computing implementations.

Administrative roles: Head of Mathematical Institute and member of the Faculty Council. Serves as associate editor for leading journals including Journal of Optimization Theory and Applications (JOTA) and IMA Journal of Numerical Analysis (IMAJNA).