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Hongkai Zhao, Professor

Hongkai Zhao

My research interest is in computational and applied mathematics that includes modeling, analysis and developing numerical methods for problems arising from science and engineering. More specifically, I have worked on:

  • numerical analysis and scientific computing;
  • multi-scale, multi-physics and multi-phase problems in wave propagation, fluids, and materials;
  • inverse problems related to medical and seismic imaging;
  • computer vision and image processing.

My Google Scholar Citations

Contact Info:
Office Location:  
Office Phone:  (919) 660-2800
Email Address: send me a message

Teaching (Spring 2022):

  • MATH 563.01, APPLIED COMPUTATIONAL ANALYSIS Synopsis
    Physics 227, MW 05:15 PM-06:30 PM
Office Hours:

Wednesday 3-5pm
Education:

Ph.D.University of California - Los Angeles1996
Recent Publications   (More Publications)

  1. Xiang, R; Lai, R; Zhao, H, A Dual Iterative Refinement Method for Non-rigid Shape Matching, 2021 Ieee/Cvf Conference on Computer Vision and Pattern Recognition (Cvpr) (June, 2021), IEEE [doi]
  2. Zhao, H; Zhong, Y, Quantitative PAT with simplified P N approximation, Inverse Problems, vol. 37 no. 5 (May, 2021) [doi]  [abs]
  3. Zhong, Y; Zhao, H; Ren, K, Separability of the kernel function in an integral formulation for anisotropic radiative transfer equation, Siam Journal on Mathematical Analysis, vol. 53 no. 5 (2021), pp. 5613-5613, Society for Industrial and Applied Mathematics
  4. Zhao, H; Li, J, Scalable Incremental Nonconvex Optimization Approach for Phase Retrieval, Journal of Scientific Computing (2021), Springer (part of Springer Nature)
  5. Zhao, H; Bryson, J; Vershynin, R, Marchenko-Pastur law with relaxed independence conditions, Random Matrices: Theory and Applications (2021), World Scientific Publishing [doi]  [abs]
Recent Grant Support

  • RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/07-2026/06.      
  • Computational Forward and Inverse Radiative Transfer, National Science Foundation, 2020/07-2023/06.      

 

dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320