Hongkai Zhao, Ruth F. DeVarney Distinguished 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:


My Google Scholar Citations

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

Teaching (Spring 2024):

Office Hours:

Wednesday 3-5pm
Education:

Ph.D.University of California, Los Angeles1996
Recent Publications

  1. Li, S; Zhang, C; Zhang, Z; Zhao, H, A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems, Statistics and Computing, vol. 33 no. 4 (August, 2023) [doi]  [abs]
  2. He, Y; Zhao, H; Zhong, Y, How Much Can One Learn a Partial Differential Equation from Its Solution?, Foundations of Computational Mathematics (January, 2023) [doi]  [abs]
  3. Zhang, S; Lu, J; Zhao, H, On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network, Proceedings of Machine Learning Research, vol. 202 (January, 2023), pp. 41452-41487  [abs]
  4. Zhao, H; Zhong, Y, How much can one learn from a single solution of a PDE?, Pure and Applied Functional Analysis, vol. 8 no. 2 (2023), pp. 751-773
  5. Zhao, H; Zhong, Y, Quantitative PAT with simplified P N approximation, Inverse Problems, vol. 37 no. 5 (May, 2021) [doi]  [abs]
Recent Grant Support