Jan Heiland

Jan Heiland is a Lecturer at TU Ilmenau, focusing on systems and control theory, with affiliations to the Max Planck Institute for Dynamics of Complex Technical Systems (MPI Magdeburg). His work emphasizes differential-algebraic equations, data-driven modeling, and flow control. He holds a PhD in Applied Mathematics from TU Berlin.

Education: PhD in Applied Mathematics (TU Berlin).

Research Interests: Control theory, numerical methods for PDEs, model reduction, and applications in fluid dynamics. Current courses include Numerical Solutions of PDEs and Scientific Computing. He leads projects on nonlinear controller design (LPV Approximations), scientific computing in MaRDI, and fluid dynamics modeling.

Grants & Projects: Projects include LPV Approximations for Nonlinear Controller Design (2023), MaRDI (2023), and MRI Fingerprinting with Philips (2021). His research also involves uncertainty quantification and robust stabilization techniques.

Talks/Publications: Recent talks address H-infinity robust control and computational approaches for large-scale systems. Key publications focus on autoencoder-based reduced-order modeling and low-rank solutions for Riccati equations.