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  • SDS Prof. Jianhua Huang Receives 2022 INFORMS Impact Prize

SDS Prof. Jianhua Huang Receives 2022 INFORMS Impact Prize

December 18, 2022 Academic Updates

Prof. Jianhua Huang of the School of Data Science (SDS) was honored the 2022 INFORMS Impact Prize in November 2022 in recognition of his widespread impact on the practice of operations research. The Impact Prize, awarded once every two years, is intended to recognize the world's most preeminent experts and researchers in the sector.

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About INFORMS Impact Prize

The Impact Prize, awarded once every two years, is intended to recognize widespread impact in the practice of operations research. It may be awarded to an individual or a single set of collaborators. Prof. Guilermo Gallego and Prof. Jianhua Huang from SDS, CUHK-Shenzhen have been awarded INFORMS Impact Prize in 2016 and 2022 respectively.

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About INFORMS

INFORMS (Institute for Operations Research and the Management Sciences) is the leading international association for professionals in operations research, analytics, management science, economics, behavioral science, statistics, artificial intelligence, data science, applied mathematics, and other relevant fields. INFORMS promotes best practices and advances in operations research, management science, and analytics to improve operational processes, decision-making, and outcomes through an array of highly-cited publications, conferences, competitions, networking communities, and professional development services. Members of INFORMS include George Dantzig, who is known as father of linear programming, Nobel Prize Laureates Harry M. Markowitz and John Nash.

Prof. Jianhua Huang

Dr. Huang received his Ph.D. in Statistics (1997) from University of California at Berkeley. He worked in the Wharton School, University of Pennsylvania and in Texas A&M University before joining Chinese University of Hong Kong, Shenzhen. At Texas A&M University, he has served as Acting Associate Dean for Graduate Studies of College of Science, Interim Department Head of Department of Statistics, and Associate Director for Education of Texas A&M Institute of Data Science. He has supervised more than 20 Ph.D. students. He has published over 100 refereed papers and is among the top 2% most cited statisticians around the world. His research has been funded by National Science Foundation of the United States. He is a Fellow of American Statistical Association and a Fellow of Institute of Mathematical Statistics, and an Elected Member of International Statistical Institute. He has served on the editorial board for Journal of American Statistical Association, STAT (The ISI's Journal for the Rapid Dissemination of Statistics Research), Journal of Multivariate Analysis, and Chemometrics and Intelligent Laboratory Systems.

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