Department of Mathematics and Statistics

Haimeng Zhang, Associate Professor


Office: Petty 103
Email address:
Starting year at UNCG: 2013
Office hours: TR 9:30-11:00


Ph.D. in Applied Mathematics (Statistics), University of Southern California (1998)


Fall, 2014
  • MAT 701-06 SEM (Graduate Seminar in Computational Mathematics)
  • MAT 790-04 IND (Directed Doctoral Research)
  • STA 551-01 LEC (Introduction to Probability), TR 11:00-12:15, Nursing, Moore Building 330
  • STA 667-04 RES (Statistical Consulting)
  • STA 673-01 LEC (Statistical Linear Models I), TR 2:00-3:15, Petty Building 217
Winter, 2015
  • STA 108-81D WEB (Elementary Introduction to Probability and Statistics)
Spring, 2015
  • STA 552-01 LEC (Introduction to Mathematical Statistics), TR 11:00-12:15
  • STA 667-04 RES (Statistical Consulting)
  • STA 674-01 LEC (Statistical Linear Models II), TR 2:00-3:15

Research Interests


Selected Recent Publications

  • Zhang, H. and Huang, C. A note on processes with random stationary increments. Statistics and Probability Letters, 2014, Vol. 94, 153 - 161.
  • Huang, C., Zhang, H., and Robeson, S. A simplified representation of the covariance structure of axially symmetric processes on the sphere. Statistics and Probability Letters, 2012, Vol. 82, 1346 - 1351
  • Goldstein, L. and Zhang, H. A Berry Esseen theorem for the lightbulb process. Advances in Applied Probability, 2011, Vol. 43, 875-898
  • Huang, C., Zhang, H., and Robeson, S. On the validity of commonly used covariance and variogram functions on the sphere. Mathematical Geosciences, 2011, Vol. 43, 721-733
  • Goldstein, L. and Zhang, Efficiency calculations for the maximum partial likelihood estimator in nested-case control sampling. Bernoulli, 2009, Vol. 15, 569 - 597

Brief Bio

Dr. Haimeng Zhang received his Ph.D. in applied mathematics with concentration on statistics from the University of Southern California in 1998. He joined UNCG in 2013. He has directed research over a number of undergraduate students through various grants including NSF - REU (2009 - 2012). He was awarded an NSF grant in 2012 to support his research on the statistical analysis of global-scale processes and phenomena.