Jonas Nicodemus 🚀
Jonas Nicodemus

PostDoc

Greetings! I hold a PhD in Applied Mathematics with a focus on systems and control theory, optimization, and data-driven methods. Previously, I studied Engineering Cybernetics, which gives me a strong background bridging mathematical theory and engineering practice.

Experience

PostDoc

Karlsruhe Institute of Technology

Researcher in the field of surrogate modeling with guarantees.

Research Associate

Stuttgart Center for Simulation Science, University of Stuttgart

Researcher in the field of surrogate modeling with guarantees:

• Developed surrogate modeling methods with guarantees for dynamical systems

• Applied model reduction and MPC techniques to robotic and control problems

• Published in three SIAM journals and one IFAC conference proceedings

Intern/Working Student

Bosch SoftTec GmbH

Software Engineer in the field of Map Matching, Microservices and Cloud Development.

Working Student

Robert Bosch Start-up GmbH

Robotics Engineer for the automation of forklifts on real robotic platforms:

• Developed and deployed algorithms in C/C++ using ROS

• Conducted laboratory experiments and validation on real robotic systems

• Supported integration, testing, and debugging of autonomy components

Education

PhD Applied Mathematics

University of Stuttgart

Efficient surrogate modelling with guarantees. Dissertation title: “Applied optimization techniques for port-Hamiltonian systems”

M.Sc. Engineering Cybernetics

University of Stuttgart

Master thesis title: “Application of Physics Informed Neural Networks for the Approximation of Differential Equations in the Field of Rigid Body Dynamics”

B.Sc. Engineering Cybernetics

University of Stuttgart

Bachelor thesis title: “Path Planning with Collision Avoidance for Multiple-Link Manipulators”
Publications
(2026). KLAP: KYP Lemma Based Low-Rank Approximation for $H_2$-Optimal Passivation. SIAM J. Matrix Anal. Appl. Volume 47, Issue 1, 2026, Pages 1-24.
(2025). Energy Matching in Reduced Passive and Port-Hamiltonian Systems. SIAM J. Control Optim. Volume 63, Issue 3, 2025, Pages 2154-2176.
(2023). Port-Hamiltonian Dynamic Mode Decomposition. SIAM J. Sci. Comput. Volume 45, Issue A, 2023, Pages A1690-A1710.
(2013). Physics-Informed Neural Networks-based Model Predictive Control for Multi-link Manipulators. In IFAC-PapersOnLine Volume 55, Issue 20, 2022, Pages 331-336.
Selected Talks
Applied optimization techniques for port-Hamiltonian systems featured image

Applied optimization techniques for port-Hamiltonian systems

Defense of my doctoral thesis on: "Applied optimization techniques for port-Hamiltonian systems."

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Jonas Nicodemus