HONG KONG BAPTIST UNIVERSITY
FACULTY OF SCIENCE
Department of Computer Science and IEEE (Hong Kong) Computational Intelligence Chapter
Nature-Inspired Meta-heuristic Algorithms for Generating Optimal Experimental Designs
Prof. Weng Kee Wong
Department of Biostatistics
University of California Los Angeles
Date: June 13, 2017 (Tuesday)
Time: 4:30 - 5:30 pm
Venue: SCT909, Cha Chi Ming Science Tower, Ho Sin Hang Campus
Nature-inspired meta-heuristic algorithms are increasingly studied and used in computer science and engineering research to solve high-dimensional complex optimization problems in the real world. It appears that relatively few of these algorithms are used in main stream statistics even though they are simple to implement, very flexible and frequently able to find an optimal or a nearly optimal solution quickly. These general purpose optimization methods usually do not require any assumption on the optimization problem and the user only needs to input a few easy-to-use tuning parameters. In this talk, I describe and demonstrate the usefulness of one of these algorithms called particle swarm optimization for finding different types of optimal designs for nonlinear models. Several biomedical applications will be discussed, including one for constructing a multiple-objective optimal design for a dose response study.
Key words: approximate design, exact design, equivalence theorem, information matrix, multiple-objective optimal design.
Weng Kee Wong is Professor of Biostatistics at UCLA. In the last 25 years, his primary research area is in optimal design of experiments for biomedical studies. His collaborative research areas include rheumatology, dentistry, environmental health science, fighting obesity in minority populations and nutrition study for breast cancer survival patients. He has also worked on cancer prevention and control trials and they include colon cancer prevention among Hispanics, melanoma prevention in young adults and liver cancer prevention among Koreans in the Los Angeles using a church-based cluster-randomized trial. He has served as principal investigator for multiple NIH research grants and as co-investigator on projects supported by NIH, FDA, CDC, National Cancer Institute, Robert Wood Foundation, National Scleroderma Foundation and Lupus Foundation of America.
He is currently associate editor of several statistics journals and is Fellow of the American Statistician Association, Fellow of the Institute of Mathematical Statistics and Fellow of The American Association for the Advancement of Science. He is also Elected Member of the International Statistical Institute and a member of the Scientific Advisory Committee for a 6-month Design and Analysis of Experiments Workshop at the Isaac Newton Institute for Mathematical Sciences, Cambridge, England in 2010-2011.
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Department of Computer Science, Hong Kong Baptist University