Blanton Godfrey (North Carolina State University) 

Dr. A. Blanton Godfrey is Dean and Joseph D. Moore Professor of Textile and Apparel Management Technology, College of Textiles, North Carolina State University. Last year he became the founding editor of Six Sigma Forum Magazine, a new journal published by the American Society for Quality. Prior to joining NC State, he was Chairman and Chief Executive Officer of Juran Institute, Inc., the leading international management consulting, research, and training organization focused on quality management and business excellence, a position he held for thirteen years. Prior to joining Juran Institute, Blan was Head of the Quality Theory and Technology Department of AT&T Bell Laboratories (now Lucent Technologies, Bell Labs Innovations). He has published over 200 articles and book chapters and co-authored three books including Modern Methods for Quality Control and Improvement and Curing Health Care: New Strategies for Quality Improvement. The first edition of Modern Methods was named "Book of the Year" by the Institute of Industrial Engineering and the second edition was published last December. He is also the co-editor (with Dr. Joseph M. Juran) of Juran's Quality Handbook, Fifth Edition, published in March 1999.

Peter Goos (University of Antwerp) 

Dr. Peter Goos is a professor of statistics at the University of Antwerp. He has published a book as well as several methodological articles on the design and analysis of blocked and split-plot experiments in industry. Other interests of his in this area include discrete choice experiments, model-robust designs, experimental design for non-linear models and  Taguchi experiments. He is a recipient of the 2004 Shewell Award, the 2006 Young Statistician Award of the European Network on Business and Industrial Statistics and the 2006 Lloyd S. Nelson Award of the American Society for Quality. Peter Goos serves on the editorial board of Journal of Quality Technology and Applied Statistics.

J. Stuart Hunter (Princeton University) 

Dr. Stuart Hunter is professor emeritus at Princeton University's School of Engineering and Applied Science. He had served as staff statistician for American Cyanamid Co. and as a member of the Mathematics Research Center at the University of Wisconsin before joining Princeton as an associate professor of chemical engineering and subsequently becoming a professor of engineering. His major areas of concentration include industrial applications of statistics, the fractional factorial, and response surface experimental design. Hunter co-authored Statistics for Experimenters with George E.P. Box and W.G. Hunter. He is the author of the textbooks Design of Experiments and Statistics for Problem Solving and Decision Making designed for use in conjunction with his television series. He is also the founding editor of Technometrics and a former president of the American Statistical Association. Hunter received ASQ's Brumbaugh Award in 1959 and 1985 and the Shewhart Medal in 1970. He also received the Ellis Ott Award in 1978 and the Metropolitan Section's Deming Medal in 1986. In addition, he is a recipient of the U.S. Army's S.S. Wilks Medal. The Environometrics Society established the J. Stuart Hunter Annual Lecture in his honor. 

Bradley Jones (SAS Institute) 

Bradley Jones is Senior Manager of the Statistical Research and Development in the JMP division of SAS, where he leads the development of design of experiments (DOE) capabilities in JMP software. Mr. Jones architected the JMP Custom Designer, a general and powerful tool for generating optimal experimental designs. He holds a patent on the use of DOE for minimizing registration errors in the manufacture of laminated circuit boards and is the inventor of the prediction profile plot for interactive exploration of multiple input and output response surfaces. Prior to joining SAS in 1997, Mr. Jones was the principal statistician at The MathWorks, Inc., where he designed and implemented the MATLAB Statistics Toolbox, a set of over 200 statistical functions. Prior to that, he was chief scientist and founding partner of Catalyst, Inc., a company created to support the use of computer aided DOE in industry. At Catalyst, Mr. Jones designed Catalyst DOE, the first interactive graphical tool for DOE. Mr. Jones has widely published on DOE in research journals and the trade press. His current interest areas are design of experiments, PLS, computer aided statistical pedagogy, and graphical user interface design.

William Li (University of Minnesota) 

Dr. William Li is Associate Professor in Operations Research and Management Science at the Carlson School of Management of the University of Minnesota. His research in experimental design, optimal design, computer design, and robust design. He has published papers in Journal of Quality Technology, Quality Engineering and Technometrics, among others.

Dennis Lin (Pennsylvania State University) 

Dr. Dennis Lin is a Distinguished Professor of Supply Chain Management and Statistics at the Penn State University. His 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. 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. He is an honorary chair professor for various universities, including National Chengchi University (Taiwan), Remin University of China and XiAn Statistical Institute, and has received the Outstanding Presentation Award of the Section on Physical and Engineering Statistics of the American Statistical Association.