People

Yi Zhang

Yi Zhang

Assistant Professor

Office: Petty 110
Email: y_zhang7@uncg.edu
Personal Website: http://www.uncg.edu/~y_zhang7/
Starting year at UNCG: 2017
Office Hours: MF: 1:00 p.m. - 2:00 p.m., W: 9:30 a.m. - 10:30 a.m., and by appointment.

Education

Degree(s): Ph. D. in Mathematics, Louisiana State University (2013)

Teaching

Spring
  • MAT-191 LEC (Calculus I), MWF 2:00-2:50, PETT 313
  • MAT-394 LEC (Calculus IV), MWF 11:00-11:50, PETT 7
Summer Session 1
  • MAT-191 LEC (Calculus I), MTWR 10:10-12:10

Research

Member of the Research Group(s): Applied Math

Selected Publications

  • X. Feng, Y. Li and Y. Zhang. Finite element methods for the stochastic Allen-Cahn equation with gradient-type multiplicative noises. SIAM J. Numer. Anal., 55:194–216, 2017.
  • S.C. Brenner, J. Gedicke, L.-Y. Sung and Y. Zhang. An a posteriori analysis of C^0 interior penalty methods for the obstacle problem of clamped Kirchhoff plates. SIAM J. Numer. Anal., 55:87–108, 2017.
  • S.C. Brenner, L.-Y. Sung, and Y. Zhang. A quadratic C^0 interior penalty method for an elliptic optimal control problem with state constraints, Recent Developments in Discontinuous Galerkin Finite Element Methods for Partial Differential Equations, IMA Volumes in Mathematics and Its Applications, 157, 2012 John H Barrett Memorial Lectures, X. Feng, O. Karakashian, and Y. Xing, eds., Springer, 2014, pp. 97–132.
  • S.C. Brenner, L.-Y. Sung, and Y. Zhang. C^0 interior penalty methods for an elliptic state-constrained optimal control problem with Neumann boundary condition. J. Comput. Appl. Math., 350:212–232, 2019.
  • S.C. Brenner, L.-Y. Sung, and Y. Zhang. Finite element methods for the displacement obstacle problem of clamped plates. Math. Comp., 81:1247–1262, 2012.

Brief Biography

Dr. Zhang earned a Ph.D. in 2013 from Louisiana State University. He held postdoctoral positions at University of Tennessee, Knoxville and University of Notre Dame, after that he joined UNCG in 2017. His research interests include Numerical PDEs, Finite Element Methods, Variational Inequalities and Numerical Optimization.