David Han, Ph.D.

Associate Professor of Management Science and Statistics

Degrees

  • Ph.D. McMaster University
  • M.Sc. McMaster University
  • B.Sc. McMaster University

About

David Han is an associate professor in the Department of Management Science & Statistics. Dr. Han earned a Master of Science and Doctor of Philosophy in statistics from McMaster University in Canada after completing an Honors Bachelor of Science degree in biochemistry and an Honors Bachelor of Science degree in computer science and statistics. His main research interests include statistical modeling, data analytics and operations research in the areas of reliability, survival analysis, failure and degradation analyses with applications to biomedicine, renewable energy and engineering. His work has appeared in numerous peer-reviewed journals such as Naval Research LogisticsReliability Engineering & System SafetyIEEE Transactions on ReliabilityComputational Statistics & Data AnalysisJournal of Statistical Planning & InferenceCommunications in Statistics and others.

Dr. Han has taught physical and statistical/mathematical sciences over 17 years from the grade school to the university graduate levels. His teaching specialties include probability and mathematical statistics, applied statistics, business statistics, engineering statistics, biostatistics and survival analysis. He received the University of Texas System Regents’ Outstanding Teaching Award, the UTSA President’s Distinguished Achievement Award for Teaching Excellence, the College of Business Faculty Teaching Excellence Award and the College of Business Dean’s Research Excellence Award. He is a member of the UTSA Academy of Distinguished Teaching Scholars and has been serving on numerous committees as well as actively serving as the president and vice president of the American Statistical Association chapter. In addition, he has been serving as an editorial board member and peer reviewer for numerous academic journals.

Selected Publications

  • “Time and Cost Constrained Optimal Designs of Constant-stress and Step-stress Accelerated Life Tests,” Reliability Engineering & System Safety, Vol. 140, 2015, pp. 1-14.
  • “Estimation in Step-stress Life Tests with Complementary Risks from the Exponentiated Exponential Distribution Under Time Constraint and Its Applications to UAV Data,” Statistical Methodology, Vol. 23, 2015, pp. 103-122.
  • “Comparison Between Constant-stress and Step-stress Accelerated Life Tests Under Time Constraint,” with H.K.T. Ng, Naval Research Logistics, Vol. 60, 2013, pp. 541-556.
  • “Inference for a Step-stress Model with Competing Risks from the Generalized Exponential Distribution Under Type-I Censoring,” with D. Kundu, IEEE Transactions on Reliability, Vol. 64, 2015, pp. 31-43.
  • “Inference for a Simple Step-stress Model with Competing Risks for Failure from the Exponential Distribution Under Time Constraint,” with N. Balakrishnan, Computational Statistics & 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 & Inference, Vol. 139, 2009, pp. 1782-1798.
  • “Exact Inference for Progressively Type-I Censored Exponential Failure Data,” with N. Balakrishnan and G. Iliopoulos, Metrika, Vol. 73, 2011, pp. 335-358.
  • “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 & Inference, Vol. 138, 2008, pp. 4172-4186.
  • “Estimation in Step-stress Life Tests with Complementary Risks from the Exponentiated Exponential Distribution Under Time Constraint and Its Applications to UAV Data,” Statistical Methodology, Vol. 23, 2015, pp. 103-122.