? 科研方向：时尚运营管理、市场营销、消费者行为、大数据分析等。
? 个人简介：任淑云，博士，特聘副教授，硕士生导师。广东工业大学“青年百人”A类人才。博士毕业于香港理工大学，本科、研究生毕业于北京交通大学。
? 所在院系：艺术与设计学院
? 学术成果：
1. S. Ren,., Chan, H. L., & Siqin, T. (2019). Demand forecasting in retail operations for fashionable products: methods, practices, and real case study. Annals of Operations Research, 1-17.
2. S. Ren, HL. Chan, and Pratibha Ram, “A comparative study on fashion demand forecasting models with multiple sources of uncertainty,” Annals of Operations Research. doi:10.1007/s10479-016-2204-6, published online, 2016.
3. S. Ren and T.M. Choi, “Selection and industrial applications of panel data demand forecasting: models” Industrial Management & Data Systems. Vol. 116 no: 6, pp.1131 - 1159. 2016.
4. S. Ren, T.M. Choi and N. Liu, “Fashion sales forecasting with a panel data-based particle-filter model,” IEEE Transactions on Systems, Man, and Cybernetics – Systems, vol. 45, no. 3, pp. 411-421, 2014. N. Liu, S. Ren, T.M. Choi, C.L. Hui and S.F. Ng, “Sales forecasting for fashion retailing service industry: a review,” Mathematical Problems in Engineering (2013) in press.
5. Y. Zhang, S. Ren, Z. Dong, Y. XU, K. Meng, Y. Zheng, "Optimal Placement of Battery Energy Storage in Distribution Networks Considering Conservation Voltage Reduction and Stochastic Load Composition", IET Generation, Transmission & Distribution, 2017.
6. T.M. Choi, N. Liu, S. Ren, and C. Hui, “No refund or full refund: when should a fashion brand or full refund consumer return service for mass customization products?” Mathematical Problems in Engineering, vol. 2013, ArticleID561846,14 pages, 2013.
7. X.R. Li, C.W. Yu, S. Ren, C.H. Chiu and K. Meng, “Day-ahead electricity price forecasting based on panel cointegration and particle filter”, Electric Power System Research. vol. 95, pp. 66-76, 2014.X.R. Li, C.W. Yu, F.J. Luo and S. Ren, “Impacts of emission trading schemes on GENCO’s decision under multimarket environment”, Electric Power System Research. vol. 95, pp. 257-267, 2013.
8. BIN Shen, Xuemei Ding, Yanyan Wang and S. Ren, “Development of RFID embedded Smart Washing Mashine Systems in the big data Era: Value Creation in Fashion Industry” Expert Systems With Applications.
? 著作章节:
1. S. Ren and T.M. Choi, “Intelligent demand forecasting supported risk management systems for fast fashion inventory management” Information Systems for the Fashion and Apparel Industry
2. S. Ren and C.L. Hui, “AI based fashion sales forecasting methods in big data era” Springer’s book chapter on Artificial Intelligence for fashion industry in the big data era. 2017.
? 会议论文：
1. Lin, Lei, Kai Yuan, and Shuyun Ren. "Analysis of urban freeway traffic flow characteristics based on frequent pattern tree." In Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on, pp. 1719-1725. IEEE, 2014.
2. M. Luo and S. Ren. A hybrid model for short-term prediction of time series data: A monthly forecast for container port throughputs in PRD region.IFSPA,2012
3. S. Ren, Jun BI, Y.F.Fung, Xuran Ivan Li and T.K.Ho, Freeway Traffic Estimation in Beijing based on Particle Filter ,The 2010 Sixth International Conference on Natural Computation (ICNC'10) 2010.
4. Bi Jun, S. Ren and Guan Wei, Traffic data collection equipment for floating car, 8th International Symposium on Test and Measurement, 2009.
? 科研项目：
1. 国家自然科学基金项目：大数据环境下多产品时尚库存管理与需求预测集成问题研究，2019年1月-2021年12月（主持）
2. 香港理工大学基金项目(G-YBGR), 2015至今. Demand Forecasting and Inventory Management in Fast Fashion Systems (港币 15万).（主要承担）
3. 香港理工大学基金项目(G-UA1Q), 2014-2016. Risk Management for Inventory Planning in Luxury Fashion Brands (港币 20万).（主要承担）
? 招收研究生：每年计划招收研究生1-2名以上，欢迎时尚运营管理、大数据分析、市场营销、用户行为研究、计算机专业等背景的同学报考。也欢迎热爱此领域测本科生提前加入课题组。
? 联系方式：**@qq.com