Jan Heiland

Jan Heiland is a Lecturer at Technische Universität Ilmenau and a researcher at the Max Planck Institute for Dynamics of Complex Technical Systems (MPI Magdeburg). His primary affiliation is with the working group on Optimization-based control at TU Ilmenau. He holds a PhD in Applied Mathematics from TU Berlin.

**Research Interests**: He specializes in Differential-algebraic Equations, Systems and Control Theory, Data-driven Modelling, and Flow Control. His work bridges applied mathematics with engineering, focusing on nonlinear systems, model reduction, and computational methods for fluid dynamics.

**Grants & Projects**: He leads or contributes to projects like LPV Approximations for Nonlinear Controller Design, MaRDI (Mathematical Research Data Initiative), and the Research Training Group MathCoRe. Collaborations include work with Philips on MRI Fingerprinting and projects on DMD models for flow problems.

**Teaching**: Current courses include Numerical Solutions of Partial Differential Equations and Scientific Computing 1. Past courses cover Numerical Methods and Computational Mathematics.

**Key Contributions**: His research emphasizes low-dimensional modeling, robust controller design for large-scale systems, and the integration of machine learning techniques. Notable publications focus on autoencoder-based reduced-order modeling and Riccati equation solutions.