Min Deng, Ph.D.

Professor & Director of the ASRM Program

Dr. Min Deng

Contact Information

7800 York Road, Room 347


Ph.D., Statistics and Probability
Pennsylvania State University
M.A., Mathematics
University of Pittsburgh
B.S. & M.S., Mathematics
China University of Sciences and Technology

Areas of Expertise

Actuarial Science
Probability & Statistics
Risk Management


Dr. Min Deng graduated from the China University of Science and Technology, with a Bachelor's in Mathematics and Master's in Differential Geometry. She continued her studies in the field of Statistics, receiving a second Master's from the University of Pittsburgh and her Ph.D. from the Pennsylvania State University in 1990. She went on to complete a Post-Doctoral Fellowship in the Department of Chemical Engineering at the University of Toronto. She is a Fellow of Society of Actuaries.


Dr. Deng has more than 25 years of distinguished teaching experience, specializing in mathematics, statistics, and actuarial science. Starting as an assistant professor in the Department of Statistics and Actuarial Science at the University of Toronto in 1992, she continued her career as professor of Statistics and Actuarial Science at University of Wisconsin-Stevens Point, professor and director of Mathematics and Actuarial Science at Maryville University, and finally joined Towson University in 2016.  Her teaching methods have been widely recognized through multiple excellent teacher awards at both the University of Wisconsin-Stevens Point and Maryville University.


Dr. Deng is also widely published in research, frequently presenting and publishing papers at international conferences. She is an author of the book “Paper: An Engineered Stochastic Structure” and many other research papers. Her research interests include differential geometry in statistical inference, especially in the second order asymptotically problems, series problems using differential geometric methods such as engineered stochastic structure, and actuarial science, especially in the areas of risk theory, maximum loss and claim amounts.


Recent Publications

  • Bayesian Predictive Modeling for Exponential-Pareto Composite Distribution (with M. Aminzadeh), to appear in Variance.
  • Modeling with Mixture of the Popular Models, American Statistical Association 2015 Proceedings: Business and Economic Statistics Section, 665-679.
  • Analysis of Risk Measurement and Risk Adjustment, American Statistical Association 2014 Proceedings: Business and Economic Statistics Section, 603-617.
  • Estimation and Evaluating of Right Tail Risk, International Journal of Applied Science and Technology 3 (2013), 1-13.