• Distingished Professor of Statistics and Supply Chain
• PhD: University of Wisconsin-Madison, 1988

Dr. Lin's general interests focus on statistical methodology in business, industrial and government (BIG) applications. Much of his work has been in the area of data mining, experimental design, response surface methodology, quality engineering, statistical process control and reliability. These areas are heavily involved with statistical tools, such as statistical modeling, Bayesian inference, optimal design theory, optimization, and time series. He has published over 100 papers in a wide variety of journals, including Technometrics, Journal of the Royal Statistical Society, Journal of Quality Technology, IEEE Transaction on Reliability, and Statistica Sinica.

Dr. Lin has developed a series of small-size experimental designs for various stages of industrial problems. Specifically, the area of supersaturated design which can investigate k variables in only n(<<k) experiments is a powerful tool for studying manufacturing processes. Other research includes multiple response surface reliability, Kalman filter, number theory, computer experiments, and uniform design. Dr. Lin has conducted numerous short courses on data mining and as senior advisor in the Bureau of Statistics in China and Taiwan. He has extensive experience in official statistics. He is an honorary chair professor for various universities, including National Chengchi University (Taiwan), Remin University of China and XiAn Statistical Institute.

Currently, Dr. Lin serves in the following capacities: associate editor for the American Statistician, Journal of Data Science, International Journal of Quality Management and Quality Technology, Taiwan Outlook, and Statistica Sinica; editorial review board for Journal of Quality Technology; steering committee for the Quality and Productivity Research Conference and the Conference on "Making Statistics More Effective in Schools of Business." He was chair of SPES-ASA (Section on Physical & Engineering Sciences) and the Membership Committee of American Statistical Association.

Dr. Lin has received the Outstanding Presentation Award (SPES, ASA) and the Allen Keally Outstanding Teaching Award (CBA, University of Tennessee). He is an elected member of the International Statistical Institute (ISI), elected Fellow of the American Statistical Association (ASA), senior member of the American Society for Quality (ASQ), fellow of the Royal Statistical Society (RSS), and lifetime member of the International Chinese Statistical Association (ICSA). He is also the recipient of the 2004 Faculty Scholar Medal Award at Penn State University.

Representative publications

J. J. Peterson and D .K. J. Lin. 2005. Statistical inference for response surface optima. Response Surface Methodology and Related Topics, ed. Andre I. Khuri, World Scientific: Washington DC.

Li, W. W. and D. K. J. Lin. 2003. Optimal foldover two-level fractional factorial designs. Technometrics 45: 142-149.

D. K. J. Lin. 2003. Industrial experimentation for screening. Handbook of Statistics in Industry, Chapter 2, pp.33-73, Volume 22, ed. C.R. Rao and R. Khattree, North Holland: New York.

K. T. Fang and D. K. J. Lin. 2003. Uniform experimental design and its applications in industry. Handbook of Statistics in Industry, Chapter 4, pp. 131-170, Volume 22,
ed. C.R. Rao and R. Khattree, North Holland: New York.

S. D. Beattie, D. K. H. Fong and D. K. J. Lin. 2002. A two-stage model selection strategy for supersaturation designs. Technometrics 44: 55-63.

R. M. McGrath and D. K. J. Lin. 2001. Testing multiple dispersion effects in unreplicated fractional factorial designs. Technometrics 43: 406-414.

K. T. Fang, D. K. J. Lin, P. Winker and Y. Zhang. 2000. Uniform design: theory and application. Technometrics 42: 237-248.

D. K. J. Lin. 1993. A new class of supersaturated designs. Technometrics 35: 28-31.

Last updated: 27 April 2005