Math @ Duke

Hongkai Zhao, Professor
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;
 multiscale, multiphysics and multiphase 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) 6602800  Email Address:   Teaching (Fall 2021):
 MATH 375.01, LINEAR PROGRAMMING
Synopsis
 Physics 227, TuTh 01:45 PM03:00 PM
 MATH 757.01, LINEAR PROGRAMMING
Synopsis
 Physics 227, TuTh 01:45 PM03:00 PM
Teaching (Spring 2022):
 MATH 563.01, APPLIED COMPUTATIONAL ANALYSIS
Synopsis
 Physics 227, MW 05:15 PM06:30 PM
 Office Hours:
 Wednesday 35pm
 Education:
Ph.D.  University of California  Los Angeles  1996 
 Recent Publications
(More Publications)
 Bryson, J; Vershynin, R; Zhao, H, Marchenkoâ€“Pastur law with relaxed independence conditions,
Random Matrices: Theory and Applications
(January, 2021), World Scientific Publishing [doi] [abs]
 Zhao, H; Li, J, Scalable Incremental Nonconvex Optimization Approach for Phase Retrieval,
Journal of Scientific Computing
(2021), Springer (part of Springer Nature)
 Zhong, Y; Zhao, H, A Fast Algorithm for TimeDependent Radiative Transport Equation Based on Integral Formulation,
Csiam Transactions on Applied Mathematics, vol. 1 no. 2
(June, 2020),
pp. 346364, Global Science Press [doi]
 Li, J; Zhao, H, Robust Inexact Alternating Optimization for Matrix Completion with Outliers,
Journal of Computational Mathematics, vol. 38 no. 2
(June, 2020),
pp. 337354, Global Science Press [doi]
 Li, J; Zhao, H, Solving phase retrieval via graph projection splitting,
Inverse Problems, vol. 36 no. 5
(May, 2020),
pp. 055003055003, IOP Publishing [doi]
 Recent Grant Support
 RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/072026/06.
 Computational Forward and Inverse Radiative Transfer, National Science Foundation, 2020/072023/06.


dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821
 
Mathematics Department
Duke University, Box 90320
Durham, NC 277080320

