Prof. Fang, Kai-Tai

Undergraduate, The Department of Mathematics, Peking University

Post Graduate, Institute of Mathematics, Academia Sinica

Professor Fang is a reputable statistician. He was elected as life Fellow by the Institute of Mathematical Statistics (IMS) at 1992 and American Statistical (ASA) at 2001 as well as elective member of International Statistical Institute (ISI) at 1985. Professor Fang visited Yale University and Stanford University for two years and was invited as a Guest Professor in Swiss Federal Institute of Technology and a Visiting Professor in University of North Carolina at Chapel Hill. He was a Vice Director of the Institute of Applied Mathematics, Academia Sinica, Beijing from 1984 to 1992. He had been Chair Professor of Department of Mathematics, Hong Kong Baptist University from 1993 to January 2006, Director of Statistics research and Consultancy Centre from 1992 to 2005 and Head of the department from 2002 to 2005. His research interests are in statistics, more specific, in experimental design, multivariate analysis and data mining. He published 19 books, more than 260 referred papers. He was the co-inventor of the uniform experimental design, which is used by engineers to expedite product development. He developed new methods for inference in generalized multivariate analysis. Prof. Fang received a number awards. Recently, he received 2008 The State Natural Science Award at the Second Level with Wang Yuan, 2012 Guangdong Excellent Teacher by the Guangdong Government and 2012 Zhuhai Advanced Teachers by the Zhuhai Government. Professor Fang will play his leadership in statistics teaching and research of UIC.

Research Interests

Selected Publications

1. Zhou, Y.D. and Fang, K.T. and Ning, J.H. (2012), Constructing uniform designs: a heuristic integer programming method, J. Complexity, 28, 224-237.
2. Fang, K.T., Liu, M.Q. and Zhou, Y.D. (2011), Design and Modeling of Experiments, The Higher Education Press, Beijing (in Chinese).
3. Zhou, Y.D. and Fang, K.T. (2011), A note on statistics simulation for geometric probability problems (in Chinese), Sci Sin Math, 41(3), 253-264.
4. Wang, Y and Fang, K.T. (2009), On number-theoretic method in statistics simulation, Science in China, Series A, 52: 1-8.
5. Fang, K.T., Li, R. and Sudjianto, A. (2005), Design and Modeling for Computer Experiments, Chapman & Hall/CRC Press, London.
6. Zhang, A.J., Fang, K.T., Li, R. and Sudjianto, A. (2005), Majorization framework balanced lattice designs, The Annals of Statistics, 33, 2837--2853.
7. He, S., Yang, G. L., Fang, K. T., Widmann, John F. (2005), Estimation of Poisson intensity in the presence of dead time, J. American Statist. Assoc., 100, 669--679.
8. Fang, K. T. and Mukerjee, R. (2005), Expected lengths of confidence intervals based on empirical discrepancy statistics, Biometrika, 92, 499--503.
9. Fang, K. T., Yin, H. and Liang, Y. Z. (2004), New approach by Kriging methods to problems in QSAR, J. Chemical Information and Modeling, 44, 2106-2113.
10. Fang, K.T. and Mukerjee, R. (2004), Optimal selection of augmented pairs designs for response surface modeling, Technometrics, 46, 147-152.
11. Fang, K.T. and Ge, G.N. (2004), A sensitive algorithm for detecting the inequivalence of Hadamard matrices, Math. Computation, 73, 843-851.
12. Fang, K.T. and Lin, D.K.J. (2003). Uniform designs and their application in industry, in Handbook on Statistics 22: Statistics in Industry, Eds by R. Khattree
    and C.R. Rao, Elsevier, North-Holland, 131-170.
    
13. Fang, K.T., Lu, X. and Winker, P. (2003), Lower bounds for centered and wrap-around L₂-discrepancies and construction of uniform designs by threshold accepting, J. Complexity, 19, 692-711.
14. Fang, K.T., Ma, C.X. and Winker, P. (2002), Centered L₂-discrepancy of random sampling and Latin hypercube design, and construction of uniform designs, Math. Computation, 71, 275-296.

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