David Han

David Han is an Associate Professor in the Department of Management Science & Statistics at the University of Texas at San Antonio (UTSA), affiliated with the Carlos Alvarez College of Business. He holds a Ph.D., M.Sc., and dual B.Sc. degrees in statistics, biochemistry, and computer science from McMaster University. His expertise spans statistical modeling, data science, operations research, and reliability engineering. He has pioneered research in accelerated life testing, predictive maintenance, and interdisciplinary applications in healthcare, biomedicine, and renewable energy. Dr. Han has been recognized with prestigious teaching awards, including the UT System Regents' Outstanding Teaching Award and membership in the UTSA Academy of Distinguished Teaching Scholars. His service roles include editorial board memberships, peer review leadership, and leadership in the American Statistical Association chapter.

Dr. Han’s research focuses on statistical methodologies for reliability analysis, survival analysis, and degradation modeling. He has developed novel approaches for accelerated life testing design under censoring constraints, with applications in engineering and biomedical systems. His recent work explores thermogenic mechanisms in adipose tissue and nanoparticle delivery systems, bridging statistics with biological and medical research. His publications span top-tier journals like IEEE Transactions on Reliability and Reliability Engineering & System Safety.

• Awards: Teaching Excellence Awards (UT System, UTSA, Alvarez College) and Research Excellence Award.
• Service: Editorial board member, ASA chapter leadership, and academic committee roles.
• Grants/Advising: Over 23 years of teaching experience in statistics and mathematics; no listed advisees.
• Labs/Teams: Active in interdisciplinary collaborations but no named lab specified.