INTRODUCTION

Wang Fudong, associate professor and master supervisor of School of management, Donghua University. She has guided students to achieve excellent results in municipal and national “three innovation competitions” for many times.

Education

• 2001.03-2004.07  Mechanical and Electrical Engineering, ShenyangInstitute of Automation, Chinese Academy of Sciences, Ph.D.

• 1997.09-2000.07  Mechanical and Electrical Engineering, Mechanics Institute, Northeastern University, M.A.

• 1993.09-1997.07  Mechanical and Electrical Engineering, Mechanics Institute, Northeastern University, B.A.

Work Experience

• since 2008.07    Glorious Sun School of Business and Management, Donghua University, Associate Professor

• 2004.07-2008.07  Glorious Sun School of Business and Management, Donghua University, Lecturer

Academic Experience

• 2015.03-2016.03  University of Michigan, Visiting Scholar

• 2011.03-2011.08  Carleton University, Visiting Scholar

Honors and Awards

• 2020  Top National Undergraduate Course Participants

• 2018  Participants of the Second Prize of National Teaching Achievement

• 2017  Participants of the First Prize of Shanghai Teaching Achievement

ACADEMIC ACHIEVEMENTS

Journal Papers

• Xue, B., & Wang, F. (2016). A survey of personalized recommendation integrated with social networks. Modern Computer Science and Applications, 375-380.

• Wang, F., Wang, P., & Yao, S. (2015). The evaluation of the social network's node influence based on user's behavior. Humanities and Social Sciences, 3(5): 234-239.

• Wang, F., Ynag, H., & Xue, B. (2015). Research on personalized recommendation method based on community partition in the recessive social network. Journal of Modern Information, 05: 49-53.

• Wang, F., Li, J., Xue, J., & Zhu, Y. (2014). Fast association rule mining in CRM. Journal of the Graduate School of the Chinese Academy of Sciences, 21(3): 358-365.

• Wang, F., & Xue, B. (2014). A survey of personalized recommendation integrated with social networks. WIT Transactions on Information and Communication Technologies.

• Chen, M., Wang, L., & Wang, F. (2014). An empirical study on the critical determinants of online consumer decision making. Modern Information, 34(2): 37-39.

• Yao, W., & Wang, F. (2006). Research of the countermeasures to develop Agricultural logistics in the construction of new countryside. Economic Survey, 4: 133-135.

Conference Papers and Presentations

• Xu, J., Wang, F., & Chen, M. (2012). A review of the key influencing factors of online purchase decisions, presented at 3rd International Conference on E-Business and E-Government, 46-49.

• Xu, X., & Wang, F. (2012). Trust-based collaborative filtering algorithm, presented at 5th International Symposium on Computational Intelligence and Design, 321-324.

• Lv, S., & Wang, F. (2011). Review: Recommender system in e-commercial environment, presented at the 2th International Conference on E-Business and E-Government, 1554-1557.

• Wang, F., & Chen, M. (2009). The research of customer’s repeat-purchase model based on data mining, presented at IEEE International Conference on Management and Service Science.

• Wang, F., Ma, Y., & Chen, M. (2008). A model of forecasting customers' purchasing behavior based on dada mining, presented at the Seventh Wuhan International Conference on E-Business, 678-683.

• Wang, F., Yao, W., & Chen, M. (2006). The research of customer segment in CRM based on data mining, presented at Fifth Wuhan International Conference on e-business, 848-852.

• Wang, F., & Tang, B. (2005). The application of integrating AHP and data mining for customer segment, presented at 12th International Conference on Industrial Engineering and Engineering Management, 238-241.

• Wang, F., Xing, H., Xue, J., & Zhu, Y. (2003). The application of constraint-based association rule fast mining in CRM, presented at Proceedings of IE&EM.

Teaching and Research Projects

• 2020-2023  Research on user experience neural mechanism for intelligent recommendation service innovation, National Social Science Fund(20BGL284), Participant

• 2020-2023  Research on the classification of behavior risk state of home service personnel considering data ethics, General Topics of Shanghai Philosophy and Social Science Planning(20220BGL007), Participant

• 2017-2019  Research on intelligent information promotion and recommendation mechanism based on user behavior analysis in vertical social networking sites, Donghua University Arts prosperity key project, Principal

• 2013-2016  The research on the personalized commodity recommendation based on social network analysis, the Fundamental Research Funds for the Central Universities, Principal

• 2010-2014  The research on the characteristics of Chinese internet consumer, National Social Science Fund(10BGL027), Principal

• 2009-2012  The research on the commodity recommendation service model based on dynamic customer behavior analysis, the Fundamental Research Funds for the Central Universities, Principal

• 2007-2010  The research on the digital business process modeling and supporting service software for textile and garment enterprises, IBM University Cooperation Projects(SURDHU4), Principal

• 2002-2003  The research on the operation mode of virtual enterprise for the development of Chinese enterprises, Special Innovative Research Project Supported by Graduate Science and Social Practice of Chinese Academy of Sciences(High Tech), Principal

• 2001-2004  The research of cooperative customer relationship management based on workflow, National High-Tech. R&D Program for CIMS, Principal

TEACHING COURSES

• Undergraduate: E-Commerce System Analysis and Design, Customer Relationship Management and Business Intelligence, Enterprise Resource Planning, Customer Relationship Management

• Graduate: Business Intelligence, Data Warehouse and Data Mining