ISyE Professor Xiaoming Huo Selected As 2017 ASA Fellow

Jun 15, 2017 | Atlanta, GA

Georgia Tech’s Stewart School of Industrial & Systems Engineering (ISyE) announced that Professor Xiaoming Huo has been selected by the American Statistical Association (ASA) as a 2017 Fellow. According to the ASA press release announcing this year’s fellows, the fellow designation is bestowed on select ASA members “for their professional contributions, leadership and commitment to the field of statistical science … Consideration is given to such factors as research, teaching, mentoring, occupation, service to the ASA and the broader community, professional activities and accomplishments in other organizations.”

“I am pleased to congratulate Xiaoming on his selection as an ASA Fellow,” said Edwin Romeijn, ISyE’s H. Milton and Carolyn J. Stewart School Chair. “This well-deserved recognition reflects his many significant contributions over the years to both the field of statistical science and the Stewart School.”

Fellows will be officially recognized at an awards ceremony on August 1, 2017, during the Joint Statistical Meetings in Baltimore, Maryland.

About Xiaoming Huo

Huo's research interests include statistical theory, statistical computing, and issues related to data analytics. He has made numerous contributions on topics such as sparse representation, wavelets, and statistical problems in detectability. Huo’s papers have appeared in top journals, and some of them are highly cited. He has been a senior member of IEEE since May 2004, and he was selected as a fellow of IPAM in September 2004. He won the Georgia Tech Sigma Xi Young Faculty Award in 2005. His work has led to an interview by Emerging Research Fronts in June 2006 in the field of mathematics.

Huo received a B.S. in mathematics from China’s University of Science and Technology in 1993, and an M.S. degree in electrical engineering and a Ph.D. in statistics from Stanford University, in 1997 and 1999, respectively. He joined ISyE in 1999.

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    Professor Xiaoming Huo

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Shelley Wunder-Smith

Stewart School of Industrial & Systems Engineering