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 at Math & Research

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 […]

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Nonlinear hyperbolic systems: Modeling, controllabiliy and applications The control theory of hyperbolic systems is an important topic in continuum and fluid mechanics. Networks of nonlinear hyperbolic systems arise in real world applications, e.g. planar or out-of-plane networks of vibrating strings, shearable beams, gas networks and shallow […]
Kinetic theory of Bose Einstein Condensates If a dilute gas of bosons, about one-hundred-thousandth the density of normal air, is cooled to a temperature very close to absolute zero (0 K or -273.15C), the gas will be changed into a new state of matter, called Bose-Einstein […]
Transition Layers in Elliptic Equations By Maicon Sônego   Stable transition layers in an unbalanced bistable equation Consider the following semi-linear problem where are positive functions in ; is a positive parameter and We assume that the functions satisfy ; for all ; there is a […]
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 […]
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