About
Martin Gugat is a Professor and Academic Director at the Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Faculty of Engineering, Department of Mathematics. He is actively engaged in research and teaching, with a strong focus on control theory, PDEs, and networked systems.
Research Interests:
- Optimal and boundary control of hyperbolic systems
- Turnpike phenomenon in optimal control
- Stabilization of PDEs and networked systems
- Modeling and optimization of gas networks
- Uncertainty quantification and probabilistic constraints
- Machine learning applications in control
His recent publications (2023–2025) span top journals in applied mathematics and control, focusing on the turnpike property, observer design for gas networks, stabilization with delays, and optimization of infrastructure. These works demonstrate a strong trend toward integrating control theory with energy systems, uncertainty, and numerical methods, often in collaborative settings.
Scientific Contributions:
- Key contributor to TRR154 (Collaborative Research Center on gas networks)
- Developer of pyGasControls simulation framework
- Active in international research collaborations (e.g., with Enrique Zuazua)
Advising and Service: He serves on PhD examination committees and supervises doctoral research, though specific student names are not listed. He has participated in numerous conferences and workshops as speaker and committee member. He is involved in teaching core engineering mathematics courses such as Mathematik für Ingenieure.
