Jonas Nicodemus

Jonas Nicodemus is a doctoral researcher at the University of Stuttgart, specializing in data-driven modeling and control theory for complex physical systems. His work focuses on port-Hamiltonian systems, model order reduction, and physics-informed machine learning.

Education:

• M.Sc. in Engineering Cybernetics, University of Stuttgart (2021)
• B.Sc. in Engineering Cybernetics, University of Stuttgart (2018)

His research develops structure-preserving methods for system identification and control, including energy-matching techniques for reduced-order models and enhanced PINNs for mechanical systems. Key publications address stability preservation in dynamic mode decomposition and control strategies for multi-link manipulators.

He contributes to open-source projects like PortHamiltonianSystems.jl and PortHamiltonianModelReduction.jl, emphasizing reproducibility and computational efficiency.