Dr. Dongsheng Wu

Professor, Mathematical Science

Contact

301 Sparkman Drive
Shelby Center
Room 201L
Huntsville, AL 35899
Campus Map

256.824.6676
dongsheng.wu@uah.edu

Biography

Dr. Dongsheng Wu's Curriculum Vitae


Education

  • Ph.D., Mathematics, Michigan State University, 2006
  • Ph.D.in Applied Mathematics, Institute of Systems Science, Chinese Academy of Sciences, Beijing, China, 1999.
  • M.S. Statistics, Michigan State University, East Lansing, Michigan, 2005.
  • M.S. Applied Mathematics, Hebei University, Baoding, China, 1989.
  • B.S.in Mathematics, Hebei University, Baoding, China, 1986.

Affiliations

  • Associate Editor, Statistics and Probability Letters

Expertise

  • Stochastic processes and random fields
  • Stochastic partial differential equations
  • Statistical properties of Gaussian random fields
  • Random fractal
  • High accuracy finite element analysis.

Recent Publications

  • M. Lund, M. Howard, D. Wu, R. Crum, D. Miller and M. Akin, An anisotropic local method for boundary detection in images. WiSDM 2021 Proceedings, accepted, 2021.

  • Z. Chen, J. Wang and D. Wu, On intersections of independent space-time anisotropicGaussian fields.Statistics and Probability Letters,166(2020), Paper 108874.

  • R. Harrell, R. Song, D. Wuand Y. Xiao, Sharp space-time regularity of the solution to a stochastic heat equation driven by a fractional-colored noise.Stochastic Analysis and Applications,38(2020), 747-768.

  • Y. Dong, W.D. Pan and D. Wu, Impact of misclassification rates on compression efficiency of red blood cell images of malaria infection using deep learning.Entropy,21(2019),Paper 1062.

  • Q. Wang, D. Wuand K. Zhu, Model checks for nonlinear cointegrating regression. Journal of Econometrics,207(2018), 261-284.

  • Y. He and D. Wu, Wavelet based estimators of multivariable mean regression function with long memory data.Communications in Statistics-Theory and Methods,47(2018),2389-2406.

  • W. D. Pan, Y. Dong, and D. Wu, Classification of Malaria Infected Cells Using Deep Convolutional Neural Networks, Book Chapter in Machine Learning - Advanced Techniques and Emerging Applications, ISBN 978-1-78923-753-5, 2018.

  • C. Ouyang, Y. Shi and D. Wu, Mutual intersection for rough differential systems driven by fractional Brownian motions.Statistics and Probability Letters,135(2018), 83-91.

  • S. Smith, G. Wang and D. Wu, Bayesian approach to breathing crack detection in beam structures. Engineering Structures,148(2017), 829-838.

  • H. Shen, W. D. Pan and D. Wu, Predictive lossless compression of regions of interest in hyperspectral images with no-data regions.IEEE Transactions on Geoscience and Remote Sensing,55(2017), 173-182.