Haimeng Zhang

Haimeng Zhang


Office: Petty 139
Phone: 336-256-8550
Personal Website:
Starting year at UNCG: 2013
Office Hours: MW 2:00 p.m. - 3:30 p.m.


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


Fall 2023
  • STA-642 LEC (Statistical Computing)
  • STA-622 LEC (Complex Data Analysis)
  • STA-667 IND (Statistical Consulting)
  • MAT-790 IND (Directed Doctoral Research)
  • STA-701 SEM (Sem in Computational Stats), F 10:00-11:30, PETT 139
  • MAT-799 DTS (Dissertation)
  • STA-698 IND (Project in Statistics), MWF 1:00-1:50, PETT 139
  • STA-442 LEC (Statistical Computing)


Member of the Research Group(s): Statistics
Current Students: Chaichana Prasertsrithong (Ph.D.)
Former Students: Christopher Vanlangenberg (Ph.D.), Helen Guo (M.A.), Romesh Thanuja (Ph.D.), Sarangan Balasubramaniam (Ph.D.), Bukola Adaramola (M.A.), Wei Chen (Ph.D.)

Research Interests: Survival Analysis, Spatial Statistics, Applied Probability

Selected 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 Biography

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.