People

Haimeng Zhang

Haimeng Zhang

Professor
Director of Graduate Studies

Office: Petty 139
Phone: 336-256-8550
Email: h_zhang5@uncg.edu
Personal Website: http://www.uncg.edu/~h_zhang5/
Starting year at UNCG: 2013
Office Hours: MW 10:30 AM - 12:00 PM

Education

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

Teaching

Winter 2020
  • STA-108 LEC (Elementary Intro Probablty Stats)
Spring 2020
  • STA-674 LEC (Statistical Linear Models II), MWF 1:00-1:50, Eberhart Building 554
  • STA-652 LEC (Mathematical Statistics), MW 2:00-3:15, Moore Building 329
  • MAT-490 SEM (Senior Seminar in Mathematics), MWF 11:00-11:50, Graham Building 303
  • MAT-790 IND (Directed Doctoral Research)
  • STA-709 LEC (Topics in Computational Statistics), MWF 12:00-12:50, Petty Science Building 139

Research

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