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香港理工大学王帅安教授讲座通知

发布时间: 2020/11/10 08:22:32     点击次数:次   打印本页

【北航经管学术论坛】

香港理工大学王帅安教授讲座通知

讲座题目Prescriptive analytics for transport system management: state-of-the-art development

主讲人:王帅安 副教授,香港理工大学

时间20201124日(星期二),9:00-10:30 am

会议方式:腾讯视频会议

会议 ID787 177 215

主持人:刘天亮 教授

lms_dr-hans-wang

摘要The increased availability of data and the advancement of machine learning methods have prompt a large number of data-driven research in transportation engineering. Most of the works have employed a sequential prediction and optimization approach. That is, in step 1, a machine learning model is used to predict parameters, and in step 2, the predicted parameters are input into an optimization model for making decisions. However, this two-step approach generates suboptimal decisions. This seminar will present a few recent theoretical advances that overcome the sub-optimality. Hopefully, the theoretical advances can be applied by transportation engineers to solve practical problems.

 

简介Dr Shuaian (Hans) WANG (王帅安) is currently an Associate Professor at the Hong Kong Polytechnic University (PolyU). Prior to joining PolyU, he worked as an Assistant Professor of Maritime and Supply Chain Management at Old Dominion University, USA, and a Lecturer of Operations Research at the University of Wollongong, Australia. Dr. Wang’s research interests include shipping network design, urban transport network modeling, sustainable transportation, and supply chain management. Dr. Wang has published 30 papers in Transportation Research Part B and Transportation Science. Dr. Wang is an associate editor of Transportation Research Part E, Transportmetrica A, and Flexible Services and Manufacturing Journal, an editorial board member of Transportation Research Part B, Transportation Letters, and Transportation Research Record. Dr. Wang dedicates to rethinking and proposing innovative solutions to improve the efficiency of maritime and urban transportation systems, to promote environmental friendly and sustainable practices, and to transform business and engineering education.