Stefan Ulbrich

Stefan Ulbrich is a Professor of Nonlinear Optimization at the Department of Mathematics, Technische Universität Darmstadt. His research focuses on optimization theory, algorithms, and applications, particularly in PDE-constrained optimization, optimal control, and numerical methods. He co-authored influential textbooks on nonlinear and PDE-constrained optimization. His work bridges theoretical foundations with practical engineering solutions, addressing challenges in fluid dynamics, electromechanical systems, and energy processes. Key contributions include robust optimization frameworks, sensitivity analysis for complex systems, and model reduction techniques. His research emphasizes interdisciplinary applications, such as electric machine design, industrial robotics, and sustainable energy systems.

Research Interests:

• Nonlinear Optimization and Numerical Methods
• PDE-Constrained Optimization and Optimal Control
• Robust Design and Uncertainty Quantification
• Applications in Engineering and Energy Systems

Publications:

Ulbrich's work spans over 100 peer-reviewed articles and books. Notable contributions include the textbook *Nichtlineare Optimierung* (with Michael Ulbrich) and research on optimal control of fluid flows, robust optimization of electromechanical systems, and Bayesian model calibration. His recent focus includes parallel-in-time optimization, topology optimization under uncertainty, and exergy-based process optimization in green energy systems.

Awards and Recognition:

While specific awards are not explicitly listed, his leadership in optimization theory and impactful contributions to applied mathematics and engineering reflect sustained academic excellence.