邵全喜教授学术报告通知

发布时间:2018-06-22浏览次数:951


报告题目:Uncertainty issues and treatments in Hydrological modelling

报 告 人:邵全喜 教授
报告人单位:澳大利亚联邦科学工业组织(Commonwealth Scientific and Industrial Research Organization,CSIRO)
时  间:2018年6月23日(星期六)下午3:00
地  点:工程馆301

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邵全喜教授介绍:Dr Quanxi Shao is currently a principal Research Scientist and a  team leader at CSIRO Data61. He has written more than 120 research  articles and book chapters on statistics and applications, 103 papers  are SCI-indexed with total citations of more than 3700 and h-index of  33. Most are in the leading journals in its research fields such as  Statistics in medicine, Computational Statistics and Data Analysis,  Journal of Geographical Research, Water Resources Research, Journal of  Hydrology and Biogeoscience.
Dr Shao worked in a multidisciplinary  environment in CSIRO and managed research teams in several national  projects. He led his division into a new direction with his hydrological  work, and played an important scientific leadership role in  representing his home division in Water for a Healthy Country Flagship  and led several water- and climate-related activities as well as CSS  TCP’s network project. He is now a project leader of CSIRO-CAS joint  research project “Climate Extremes over East Asian-Australian Monsoon  Region and Their Simulation and Projection”.
Dr Shao focuses on  methodological developments with strong mathematical and statistical  components in the CSIRO environment of multidisciplinary research  innovation. His researches related to this proposal include mode-data  fusion, uncertainty quantification in modelling and forecasting, and  extreme modeling. He started pioneering works in data uncertainties in  hydro-climatic modeling, derived a new Burr-type distribution as a  unified distribution for statistical extremes, and proposed a new  concept and framework of event-based extreme modelling, assessment and  evaluation of variability in climate and its projection. Many of his  researches have been used as defacto national ‘standards’.
Dr Shao is  an innovative scientist with strong disciplinary research capability  and deep knowledge of other disciplines. He has won CMIS awards twice in  team building and research innovation. He is very active in the  international scientific society. He successfully organized two annual  Conferences of the International Environmetrics Society and has several  university adjunct/honorary positions.

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