Daniël Veldman

Daniël Veldman
[Past Member] Postdoctoral Researcher

  daniel.veldman@math.fau.de
  Room 03.361 | DDS – Department of Data Science. FAU DCN-AvH Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship
  +49 9131 85-67167

  My Publications at FAU-CRIS

Daniël Veldman was born on June 9, 1990 in Nijmegen, the Netherlands. After finishing his secondary education 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.

 
 PhD Thesis: Modeling and Control of Thermomechanical Systems: Managing Heat-Induced Deformation in Extreme Ultraviolet Lithography (2020)
 
 Master Thesis in Mathematics: Degenerate Bogdanov-Takens Bifurcations in Fusion Plasma Models (2015)
 
 Master Thesis in Mechanical Engineering: Controlling Nonlinear Resonances of Rectangular Plates (2015)

 

My posters

The sheep herding game: Can you beat the algorithm?

• Daniël Veldman, Friedrich-Alexander-Universität Erlangen–Nürnberg The sheep herding game: Can you beat the algorithm? View this poster ...

Stochastic Simulation and Optimization for Dynamical Systems

• Daniël Veldman, Friedrich-Alexander-Universität Erlangen–Nürnberg • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Stochastic Simulation and Optimization for Dynamical Systems View this poster ...
 

My posts on Math & Research

Sheep Herding Game

Author: Daniël Veldman, FAU DCN-AvH Code: A sheep herding game in MATLAB developed for the Long Night of Science #NdW22 ...

Random Batch Methods for Linear-Quadratic Optimal Control Problems

Author: Daniel Veldman, FAU DCN-AvH Code: || Also available @Daniël's GitHub In a previous post "Randomized time-splitting in linear-quadratic optimal ...

Randomized time-splitting in linear-quadratic optimal control

Randomized time-splitting in linear-quadratic optimal control By Daniël Veldman Introduction Solving an optimal control problem for a large-scale dynamical system ...
 

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