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    扬州大学数学科学学院学术报告2019-73

    报告题目:与时俱进的数学应用(创新创业专题讲座)


    报告人:曹 军

    Dept. of Mechanical & Industrial Engineering, Ryerson University, Toronto, Ontario, Canada


    报告摘要:讲座人首先结合自己的研究经历,针对“计算流体力学”这一数学与工程紧密结合的交叉学科,介绍自己在不同阶段将该学科在多种领域中的一些应用范例。此外,着眼于信息技术和计算数学结合而衍生的新兴学科,如“大数据”和“人工智能”,讲座人结合自己的观察和思考,讲述此类学科在现实生活中的广泛应用,及其进一步发展的研究方向。


    报告人简介:

    Dr. Jun Cao obtained his Ph.D. degree in Mathematics in 1995 from University of Paris VI, France. Prior to joining Ryerson University in 2000, his research work had included the a posteriori error estimate analysis and the development of adaptive numerical simulation tools for applications in the aerospace engineering (at Dassault Aviation, France, in 1990-1995, and at University of California, San Diego, in 1995-1996), the environmental engineering (at Stanford University in 1996-1998), and the fuel cell technology (at Simon Fraser University in 1999, and at University of Victoria in 1999-2000). Now, he is a Full Professor in the Department of Mechanical and Industrial Engineering at Ryerson University. Also, as visiting professor, he paid sabbatical visits to the Department of Mathematics at Hong Kong Baptist University, the College of Mathematical Science at Peking University, the Institute of Computational Mathematics and Scientific/Engineering Computing in the Chinese Academy of Sciences (in 2007-2008), the School of Aeronautics at the Northwestern Polytechnical University (in 2016), and the College of Mathematical Science at Yangzhou University (in 2018), respectively. His ongoing research work mainly aims to develop novel numerical methods for the studies of tornado dynamics and the characteristics of other complex flows and transport phenomena.


    报告时间:2019年12月21日 下午2:00


    报告地点:瘦西湖校区28号楼104报告厅


    主办单位:扬州大学数学科学学院


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    电话:0514-87975402
    邮编:225002
    地址:江苏省扬州市四望亭路180号
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