User:Khai.Chau: Difference between revisions
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'''Department''': Mechanical Engineering |
'''Department''': [[Mechanical Engineering]] |
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'''Research Field''': Nuclear Magnetic Resonance, Topology Optimization, Model Order Reduction |
'''Research Field''': Nuclear Magnetic Resonance, Topology Optimization, Model Order Reduction |
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'''E-mail''': khai.chau@kit.edu |
'''E-mail''': khai.chau@kit.edu |
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== Job description == |
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Khai Chau has obtained his B.Sc. degree (2014) in Engineering Mechanics from the Ho Chi Minh City University of Technology, Vietnam. In 2019, he received an M.Sc. degree in Computational Engineering from the Ruhr-Universität Bochum with the thesis "A polytree-based adaptive polygonal finite element method for multi-material topology optimization". |
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In 2021, he joined the SPA Group at the Institute of Microstructure Technology to work in the optiMuM project as a Ph.D. student under the supervision of Prof. Korvink and Dr. Badilita. His research focuses on a combination of two advanced numerical techniques, namely Topology Optimization (TO) and Model Order Reduction (MOR), in a way that will significantly speed up the numerical simulation-based efficient design optimization of miniaturized multi-resonant systems. |
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Revision as of 15:50, 3 May 2021
Department: Mechanical Engineering
Research Field: Nuclear Magnetic Resonance, Topology Optimization, Model Order Reduction
Building: 307
Room: 244
Phone: 0721-608-29313
E-mail: khai.chau@kit.edu
Job description
Khai Chau has obtained his B.Sc. degree (2014) in Engineering Mechanics from the Ho Chi Minh City University of Technology, Vietnam. In 2019, he received an M.Sc. degree in Computational Engineering from the Ruhr-Universität Bochum with the thesis "A polytree-based adaptive polygonal finite element method for multi-material topology optimization".
In 2021, he joined the SPA Group at the Institute of Microstructure Technology to work in the optiMuM project as a Ph.D. student under the supervision of Prof. Korvink and Dr. Badilita. His research focuses on a combination of two advanced numerical techniques, namely Topology Optimization (TO) and Model Order Reduction (MOR), in a way that will significantly speed up the numerical simulation-based efficient design optimization of miniaturized multi-resonant systems.
