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Lingqi Gao

About Lingqi Gao

Lingqi Gao

  • Ph.D. Student, Electrical and Computer Engineering

computational electromagnetics inverse scattering optimization

Lingqi Gao is a Ph.D. student in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST), advised by Prof. Hakan Bagci, where his research focuses on electromagnetic inversion with emphasis on nonlinearity, regularization methods, and applications to biomedical imaging.

Events

Presented Events

Nov 15 - Nov 21, 2026

  • KAUST CEMSE ECE Ph.D. Dissertation Defense Lingqi Gao Robust and Efficient Methods for Nonlinear Electromagnetic Inversion: Regularization, Optimization, and Learning-Assisted Strategies

    Robust and Efficient Methods for Nonlinear Electromagnetic Inversion: Regularization, Optimization, and Learning-Assisted Strategies

    Lingqi Gao, Ph.D. Student, Electrical and Computer Engineering
    Nov 18, 10:00 - 12:00

    B3 R5209

    electromagnetic inversion optimization nonlinear electromagnetic inversion

    This dissertation develops several physics-based and learning-assisted methods to improve the robustness, capability, and computational efficiency of nonlinear EM inversion.

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Related Sites

  • Electrical and Computer Engineering (ECE)
  • Computational Electromagnetics (CEM)

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  • Upcoming Events

    • KAUST CEMSE ECE Ph.D. Dissertation Defense Lingqi Gao Robust and Efficient Methods for Nonlinear Electromagnetic Inversion: Regularization, Optimization, and Learning-Assisted Strategies

      Robust and Efficient Methods for Nonlinear Electromagnetic Inversion: Regularization, Optimization, and Learning-Assisted Strategies

      Lingqi Gao, Ph.D. Student, Electrical and Computer Engineering
      Nov 18, 10:00 - 12:00

      B3 R5209

      electromagnetic inversion optimization nonlinear electromagnetic inversion

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