Mengjie Zhao

Frau Mengjie Zhao

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ORCID: 0000-0002-2210-4455

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Tel: +41 44 633 78 49

Adresse

ETH Zürich
Mengjie Zhao
Intelligente Instandhaltungssyst.
HIL  F 27.3
Stefano-Franscini-Platz 5
8093 Zürich
Schweiz

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Mengjie Zhao
Inst. Bau-&Infrastrukturmanagement
ETH Zürich HIL F27.1
Stefano-Franscini-Platz 5
8093 Zürich
Schweiz
Organisatorische Zugehörigkeit Mitarbeiterin bei Intelligente Instandhaltungssyst.
Forschungsgebiet
  • Graph Neural Networks
  • Physics-Informed Machine Learning
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Mengjie Zhao holds degrees in Computational Mechanics (MSc) with honors track and in Engineering Science (BSc) from the Technical University of Munich (TUM).
From the early years of her studies, Mengjie was fascinated by the modeling of multiphysics and multiscale systems. As a student research assistant at TUM and research intern at International Centre for Numerical Methods in Engineering (CIMNE), she gained a solid understanding of both the theoretical and algorithmic fundamentals as well as a wide range of applications. Through the BGCE project with the Elitenetzwerk Bayern (ENB), which dealt with the mesh sensitivity prediction with a deep neural network, she realized that leveraging data could bring physical modeling far beyond the current computational limits. Later, in her master's thesis in cooperation with Siemens, she turned to the reduced-order modeling with enforced physical invariants, which showed better accuracy and generality.

In her Ph.D., she would like to step towards a further combination of deductive research (modeling and simulation) and inductive (data-driven) research by embedding physics into machine learning.

Publikationen inResearch Collection – Publikationsplattform der ETH Zürich
Suchportal der ETH-Bibliothek (erweiterte Suche nach Namen)