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Qiman Shao

Affiliation:Southern University of Science and Technology
      Qiman Shao , the founding dean and Chair Professor of the Department of Statistics and Data Science at Southern University of Science and Technology. He graduated from Hangzhou University (now Zhejiang University) in 1983, obtained a master's degree in 1986, and a doctorate from the University of Science and Technology of China in 1989. Professor Shao has taught at Hangzhou University, the National University of Singapore, the University of Oregon in the United States, the Hong Kong University of Science and Technology, and the Chinese University of Hong Kong.

      Professor Qiman Shao is mainly engaged in research on the basic theory of probability and statistics. He has systematically and deeply developed the self - normalized limit theory, established self - normalized large - deviation and moderate - deviation theorems. He has developed and improved the Stein's method for normal and non - normal approximations, established random concentration inequalities and basic methods for determining limiting distributions. He has also conducted in - depth research on the limit theory of dependent variables, developed a series of important moment and probability inequalities, and established fundamental work such as strong approximation and weak convergence.

      The honors and professional society services of Professor Qiman Shao include: an invited talk at the International Congress of Mathematicians (ICM) in 2010, the Medallion Medal of the Institute of Mathematical Statistics (IMS) in the United States and delivering a Medallion Lecture in 2011, the Second Prize of the National Natural Science Award (as the first accomplished person) in 2015. Currently, he is an executive member of the IMS Council, co - editor - in - chief of "Annals of Applied Probability", and associate editor of "Science China Mathematics". He has previously served as an editorial board member of top international journals in probability and statistics, such as "Annals of Statistics" and "Annals of Applied Probability".

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Phone: +86-15885030733


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