Dr. Meizhi Qian
Email • PhD in Computational Mathematics, East China Normal University
Optimal control, topological derivative methods, shape optimization
Postdoctoral Researcher
Room 03.326 | FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship
Friedrich-Alexander-Universität Erlangen-Nürnberg
Naturwissenschaftliche Fakultät. Department Mathematik
I obtained my PhD in Computational Mathematics from the School of Mathematical Sciences at East China Normal University, Shanghai, China, in 2025.
From 2022 to 2024, I was a visiting doctoral student at the Systems Research Institute of the Polish Academy of Sciences, where I also received a PhD diploma in Engineering and Technical Sciences, with a specialization in Automation, Electronics, Electrical Engineering, and Space Technologies.
My research interests include optimal control, topological derivative methods, and shape optimization.
• PhD Thesis: Topological derivative method in control and design of distributed parameter systems on metric graphs (2024)
Research interests
My research interests include
• Optimal control,
• Topological derivative methods,
• Shape optimization
Projects
• TRR154 | C03: Nodal control and the turnpike phenomenon (2025 – now)
Posts on Math & Research
Network design and control: Shape and topology optimization for the turnpike property for the wave equation
Authors: Martin Gugat, Meizhi Qian, Jan Sokolowski
Date: March 17, 2026
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