# People

## 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

**Fall 2019**

- MAT-727 LEC (Linear Algebra and Matrix Theory), TR 12:30-1:45, Stone Building 215
- MAT-191 LEC (Calculus I), TR 3:30-4:45, Petty Science Building 224

### 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.