Xianping Li

Assistant Professor (Courtesy Appointment)

Office: Manheim 304A
Ph: (816)235-2657
Email: lixianp@umkc.edu

Biography

Dr. Xianping Li joined the University of Missouri-Kansas City as an Assistant Professor in 2013, following a Visiting Assistant Professorship at the University of Central Arkansas. His research area is in Computational Mathematics with applications in Engineering, Biology, Science, and Medical Image Processing.

Academic Credentials

B.E., Petroleum Engineering, China University of Petroleum-Beijing (2000)
M.S., Chemical and Petroleum Engineering, Univeristy of Kansas (2010)
Ph.D., Mathematics, University of Kansas (2011)
Visiting Assistant Professor, University of Central Arkansas (2011-2013)
Assistant Professor, University of Missouri-Kansas City (2013-present)

Research Interest

Numerical analysis, scientific computing, numerical solutions of partial differential equations, anisotropic diffusion problems, mesh adaptation, image processing, parallel computing, mathematical modeling and simulation.

Selected Publications

  • F. Zhang, W. Huang, X. Li and S. Zhang, “Moving mesh finite element simulation for phase-field modeling of brittle fracture and convergence of Newton’s iteration”, J. Compute. Phys, 356, 127-149, 2018.
  • N.K. Vaidya, X. Li and F.B. Wang, “Impact of spatially heterogeneous temperature on the dynamics of dengue epidemics”, Discrete & Continuous Dynamical Systems – B, 2018, 598-607, 2018.
  • X. Li, “Anisotropic mesh adaptation for finite element solution of anisotropic porous medium equation”, Computers & Mathematics with Applications, 2017, doi.org/10.1016/j.camwa.2017.08.005.
  • X. Li, “Anisotropic mesh adaptation for image representation”, J. Image Video Proc. (2016) 2016: 26.
  •  X. Li and W. Huang, “Maximum principle for the finite element solution of time-dependent anisotropic diffusion problems”, Numer. Meth. PDEs, 2013.
  • X. Li and W. Huang, “An anisotropic mesh adaptation method for the finite element solution of heterogeneous anisotropic diffusion problems”, J. Comput. Phys., 229: 8072-8094, 2010.