Haimeng Zhang

Haimeng Zhang


Office: Petty 139
Phone: 336-256-8550
Personal Website:
Starting year at UNCG: 2013
Office Hours: Virtual: M 2:00pm-3:00pm; R 1:30pm-3:30pm


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


Fall 2022
  • STA-622 LEC (Complex Data Analysis)
  • STA-631 LEC (Introduction to Probability)
  • STA-651 LEC (Mathematical Statistics), MW 2:00-3:15, Petty Science Building 227
  • STA-667 IND (Statistical Consulting)
  • STA-701 SEM (Sem in Computational Stats), TR 2:00-3:15, Petty Science Building 223
  • MAT-601 SEM (Teaching Math Seminar I), W 10:00-10:50, Petty Science Building 217


Member of the Research Group(s): Statistics
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.