Daniël Veldman

Senior Scientist

Daniël Veldman was born on June 9, 1990 in Nijmegen, the Netherlands. After finishing his secondary eduction at the Karel de Grote College in Nijmegen in 2008, he started studying Mathematics at Utrecht University (UU) in Utrecht, the Netherlands, which he combined with Mechanical Engineering at Eindhoven University of Technology (TU/e) in Eindhoven, the Netherlands, since 2009. He received his Bachelor of Science and Master of Science degrees in Mathematics from the UU in 2012 and 2016, respectively, and his Bachelor of Science and Master of Science degrees in Mechanical Engineering from the TU/e in 2012 and 2015, respectively. He received his PhD degree on September 11, 2020 from Eindhoven University of Technology.

His Master’s thesis in Mathematics is entitled `Degenerate Bogdanov-Takens Bifurcations in Fusion Plasma Models’ and was supervised by Youri Kuznetsov (UU, University of Twente), Hugo de Blank (Dutch Institute for Fundamental Energy Research, TU/e), and Mark Pékker (a.k.a. Mark Friedman, University of Alabama). His Master’s thesis in Mechanical Engineering is entitled `Controlling Nonlinear Resonances of Rectangular Plates’ and was supervised by Rob Fey (TU/e) and Hans Zwart (University of Twente, TU/e). In February 2016, Daniël started his Ph.D. in the Dynamics and Control group at the Department of Mechanical Engineering at the Eindhoven University of Technology. Under supervision of Rob Fey (TU/e), Hans Zwart (University of Twente, TU/e), Henk Nijmeijer (TU/e), Marc van de Wal (ASML), and Joris van den Boom (ASML), he worked on the modeling and control of high-precision thermomechanical systems in Extreme Ultraviolet (EUV) lithography. This research was carried out as part of the Impulse II research program of the High Tech Systems Center of the Eindhoven University of Technology and was financially supported by ASML, Veldhoven, the Netherlands.

Since October 2020, Daniël is working as a postdoctoral researcher at the Chair for Dynamics, Control, and Numerics at the Department of Data Science at the Friedrich-Alexander Universität Erlangen-Nuremberg (FAU). Under supervision of Enrique Zuazua, he is working on problems at the interface of control theory, numerical analysis, and machine learning. This research is supported by the Alexander von Humboldt Professorship of Enrique Zuazua awarded by the Alexander von Humboldt Foundation. 

Check my posts and resources

Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer 2022 (IFAC CPDE 2022 Course) _ This course gives a general introduction and some recent developments on the interface between Control, Numerics, and Machine Learning (Supervised Learning and Universal Approximation). The first part […]
Author: Daniël Veldman, FAU DCN-AvH Code: A sheep herding game in MATLAB developed for the Long Night of Science #NdW22 (Lange Nacht der Wissenschaft) Erlangen-Furth-Nuernberg 2022. Main rules • The dog should drive sheep to the target (red). • You can steer the dog with the […]
Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer semester 2021 This course provides a practical introduction to some of the most commonly used discretization methods for PDEs (finite differences and finite elements) and their implementation in MATLAB. It also covers some […]
Author: Daniel Veldman, FAU DCN-AvH Code: || Also available @Daniël’s GitHub In a previous post “Randomized time-splitting in linear-quadratic optimal control“, it was proposed to use the Random Batch Method (RBM) to solve classical Linear-Quadratic (LQ) optimal control problems. This contribution is concerned with the corresponding […]
Randomized time-splitting in linear-quadratic optimal control By Daniël Veldman   Introduction Solving an optimal control problem for a large-scale dynamical system can be computationally demanding. This problem appears in numerous applications. One example is Model Predictive Control (MPC), which requires the solution of several optimal control […]
© 2019-2022 FAU DCN-AvH Chair for Dynamics, Control and Numerics - Alexander von Humboldt Professorship at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany | Imprint | Contact