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Atlanta, GA | Posted: October 28, 2009
Summary Sentence:
C. F. Jeff Wu Selected INFORMS Fellow
Full Summary:
C.F. Jeff Wu, Coca-Cola Chair in Engineering Statistics and professor in the H. Milton Stewart School of Industrial and Systems Engineering, was elected INFORMS Fellow at the 2009 INFORMS conference in San Diego in mid-October.
C. F. Jeff WuC.F. Jeff Wu, Coca-Cola Chair in Engineering Statistics and professor in the H. Milton Stewart School of Industrial and Systems Engineering, was elected INFORMS Fellow at the 2009 INFORMS conference in San Diego in mid-October. The INFORMS Fellow Award is reserved for distinguished individuals who have demonstrated outstanding and exceptional accomplishments and experience in operations research and the management sciences.
Professor Wu, who joins ten other Fellows elected this year, was selected for his work developing statistical methodologies and novel applications to engineering and for leadership making statistical methods and thinking popular in engineering.
"Being elected a fellow by INFORMS is a further testament to the quality of work produced by Professor Wu," said Chelsea C. White III, ISyE School Chair. "I and all of Professor Wu***s ISyE colleagues are very proud of this most deserved recognition."
In addition to his selection as INFORMS Fellow, Professor Wu's many honors also include membership to the National Academy of Engineering in 2004, the 2008 Shewhart Medal from the American Society for Quality; an honorary doctorate degree from the University of Waterloo in Ontario, Canada; the American Statistical Association Quality and Productivity Research Conference Honoree; and the 2008 Pan Wen-Yuan Award.
Before joining Georgia Tech in the summer of 2003, Professor Wu was the H. C. Carver Professor of Statistics and Professor of Industrial and Operations Engineering at the University of Michigan, Ann Arbor; the GM/NSERC Chair in Quality and Productivity at the University of Waterloo; and a professor in the Statistics Department at the University of Wisconsin. He holds a B.S. in Mathematics from National Taiwan University and Ph.D. in Statistics from the University of California, Berkeley.
Professor Wu is known for his innovative and high-impact work in modern Design of Experiments , which has helped western manufacturing industries greatly improve quality. Over the years, his research groups from the University of Wisconsin, the University of Waterloo in Canada, the University of Michigan, and Georgia Tech have developed various methods to build a comprehensive system for running experiments, modeling data, and system optimization/robustness. This work has culminated in the publication of two books: Experiments: Planning, Analysis, and Optimization (with Hamada) 2009, John Wiley; and A Modern Theory of Factorial Designs (with Mukerjee) 2006, Springer.
Professor Wu's work is widely cited in professional journals as well as in magazines, including a feature article about his work in Canadian Business and a special issue of Newsweek on quality. He has served as editor or associate editor for several prestigious statistical journals including Annals of Statistics, Journal of American Statistical Association, Technometrics, and Statistica Sinica. Professor Wu has published more than 130 research articles in peer review journals and has supervised more than thirty Ph.D.'s, many of whom are teaching in major research departments in statistics/engineering/business in the United States, Canada and Asia.
The INFORMS Fellow Award recognizes members who have made significant contributions to the advancement of operations research and the management sciences, such contributions including service to the professional field and to INFORMS. Wu joins a prestigious list including the following eleven other Stewart School faculty members who have received this honor:
Dr. Jan Shi
Dr. John Bartholdi
Dr. Jim Dai
Dr. Augustine Esogbue
Dr. John Jarvis
Dr. Ellis Johnson
Dr. George Nemhauser
Dr. Donald Ratliff
Dr. William Rouse
Dr. Michael Thomas
Dr. Chelsea White III
