David Han is an assistant professor of statistics in the Department of Management Science & Statistics. Dr. Han joined UTSA in 2009. Prior to coming to San Antonio, he completed an honors Bachelor of Science degree in biochemistry and an honors Bachelor of Science degree in computer science and statistics from McMaster University in Canada. Continuing his studies at McMaster, he received a Master of Science and Doctor of Philosophy in statistics.
His main research interests include the statistical inference for accelerated life testing in reliability and survival analysis, optimal censoring plans, and competing risk analysis. His work has appeared in peer-reviewed journals such as Computational Statistics and Data Analysis, Journal of Statistical Planning and Inference, Communications in Statistics, IEEE Transactions on Reliability, and others. During his study, he has won numerous national and institutional awards for his overall academic excellence and scholarship.
Dr. Han has taught physical and mathematical sciences over 13 years from the grade school to the university levels. His teaching specialties include probability and mathematical statistics, applied statistics, biostatistics and survival analysis. He has received the University of Texas System Regents’ Outstanding Teaching Award, the UTSA President’s Distinguished Achievement Award for Teaching Excellence, and the College of Business Faculty Teaching Excellence Award.
“Exact Inference for Progressively Type-I Censored Exponential Failure Data,” with N. Balakrishnan and G. Iliopoulos, Metrika, Vol. 73, 2011, pp. 335-358.
“Inference for a Simple Step-stress Model with Competing Risks for Failure from the Exponential Distribution Under Time Constraint,” with N. Balakrishnan, Computational Statistics and Data Analysis, Vol. 54, 2010, pp. 2066-2081.
“Optimal Step-stress Testing for Progressively Type-I Censored Data from Exponential Distribution,” with N. Balakrishnan, Journal of Statistical Planning and Inference, Vol. 139, 2009, pp. 1782-1798.
“Exact Inference for a Simple Step-stress Model with Competing Risks for Failure from Exponential Distribution Under Type-II Censoring,” with N. Balakrishnan, Journal of Statistical Planning and Inference, Vol. 138, 2008, pp. 4172-4186.