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    Seminars

    CUMT SEM • Academic Forum (15) Frontier Theories, Methods, and Applications of Big Data Analysis in Economics and Management

    Published on: October 24, 2024 Views:

    Topics

    1.     Frontier Theories, Methods, and Applications of Big Data Analysis in Economics and Management

    2.     Experiences Sharing on National Natural/Social Science Grant Applications and High-Level Paper Publications

     

    Speakers

    Fang Kuangnan, Wang Tao, Li Yi,

    Fan Xinyan, Zheng Chenlu, Zhu Miao

    Time: October 26, 14:00–17:00
    Venue: B503, SEM

     

    Expert Introduction

    Fang Kuangnan

    • Professor at the School of Economics, Xiamen University, Ph.D. advisor, and postdoctoral researcher at Yale University.

    • Director of Xiamen University's Research Center for Big Data and Intelligent Risk Control.

    • Elected member of the International Statistical Institute and recognized as a national talent under China's "Ten Thousand Talent Program" and "Youth Top Talents."

    • He has published over 100 academic papers in top journals such as Journal of Econometrics, Journal of Business & Economic Statistics, INFORMS Journal on Computing, Journal of Business Research,  and Annals of Operations Research.

    • His primary research areas include economic statistics, risk modeling, machine learning, financial big data, and applied statistics.

    Wang Tao

    • Professor at Shanghai Jiaotong University, Ph.D. advisor, and postdoctoral researcher at Yale University.

    • Research focus: Bioinformatics and big data analysis in the fields of biology and medicine.

    • Awarded the "National Natural Science Foundation Outstanding Youth Science Fund" and hosted multiple national-level projects.

    • He has published numerous papers in top international journals like PLoS Computational Biology.

    Li Yi

    • Professor and doctoral advisor, dean of the School of Information,  Shanxi University of Finance and Economics,.

    • Recognized as a prominent talent in Shanxi Province and recipient of various academic awards.

    • His research areas include big data processing, information system analysis, and artificial intelligence.

    • He has published over 30 high-impact papers, hosted major scientific research projects, and led provincial-level academic teams.

    Fan Xinyan

    • Ph.D., Associate Professor, School of Statistics, Renmin University of China.

    • Research areas: Multisource data analysis, network data analysis, etc.

    • Published research in Journal of Econometrics, Annals of Applied Statistics, Statistical Research, and other journals.

    • Principal investigator for a National Natural Science Foundation Youth Project.

    Zheng Chenlu

    • Ph.D., Associate Professor, Fujian Police College.

    • Research areas: Big data governance, risk management, network data analysis.

    • Principal investigator for one National Social Science Fund General Project, one Fujian Social Science Fund Project, and one Ministry of Education Collaboration Project.

    • Published numerous SCI and SSCI papers and received multiple provincial-level awards.

    Zhu Miao

    • Ph.D., Assistant Professor, Institute of Quantitative Economics and Statistics, Huaqiao University.

    • Research areas: Social networks, machine learning, artificial intelligence, and big data analysis.

    • Principal investigator for a National Social Science Fund General Project and a National Statistics Scientific Research Program.

    • Research published in IEEE Transactions on Computational Social Systems and other journals.