Hung Tong, Ph.D.

Hung Tong, Ph.D.

Hung Tong, Ph.D.
Assistant Professor

Hung Tong, Ph.D.
Department of Mathematics

Contact Info
(856) 256-5547
Robinson Hall, Room 228K

Biography

Websites:
Google Scholar

Education:
Ph.D., Applied Statistics, The University of Alabama
M.S., Statistics, San Jose State University
B.S., Applied Mathematics, San Jose State University

Research Expertise:
Cluster analysis | Classification | Mixture Modeling | Computational Statistics

I am a statistician with research interests in cluster analysis, classification, and computational statistics. One major focus of my work concerns the development of flexible model-based clustering methods and statistical software for complex data, including missing data, data with skewness and outliers, and high-dimensional data. I also enjoy consulting for researchers across various fields; my past experience includes projects in public health, ecology, chemistry, education, nutrition, and business.

Professional Memberships:
American Statistical Association (www.amstat.org)
Society of Classification

Selected Publications:
Tong, H. and Tortora, C. MixtureMissing: An R package for robust and flexible model-based clustering with incomplete data. Journal of Statistical Software. (Forthcoming)

Tong, H. and Tortora, C. (2023). Missing values and directional outlier detection in model-based clustering. Journal of Classification.

Tong, H. and Tortora, C. (2022). Model-based clustering and outlier detection with missing data. Advances in Data Analysis and Classification, 16(1):5–30.

 


 Fall 2025 - Class Schedule
41280 - MATH - 03612-1      MASTERS THESIS      Main Campus

41331 - STAT - 02360-2      PROBABILITY/RANDOM VARIABLES      TR 2:00-3:15      Campbell Library 578

41345 - STAT - 02515-1      APPLIED MULTIVARIATE DATA ANLY      TR 5:00-6:15      Business 223



Fall 2025 - Office Hours
TR 3:30pm-4:45pm, and by appointment via tong@rowan.edu