Department of Mathematics and Statistics

Haimeng Zhang
Professor

Haimeng

Office: Petty 139
Email address: h_zhang5@uncg.edu
Personal web page: www.uncg.edu/~h_zhang5/
Starting year at UNCG: 2013
Office hours: TR 2:00 p.m. - 3:30 p.m.

Education

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

Teaching

Fall, 2018
  • STA 651-01 LEC (Mathematical Statistics), TR 11:00-12:15, Petty Building 7
  • STA 655-01 LEC (Applied Probability Models), TR 12:30-1:45, Petty Building 7
  • STA 667-03 IND (Statistical Consulting)
  • STA 709-01 LEC (Topics in Computatnl Stats), M 7:00-7:00, ADMN 1
  • STA 709-02 LEC (Topics in Computatnl Stats), M 7:00-7:00, ADMN 1
  • STA 593-01 IND (Directed Study in Statistics)

Research Interests

Statistics
Current Students: Romesh Thanuja, Wei Chen
Descendants: Christopher Vanlangenberg

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.