东大交院云论坛曁 “阡陌交通、中西交融”交通工程大师论坛第七讲即将开讲!
本场讲座将由香港理工大学王帅安教授带来。
Dr. Wang 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, port operations planning, urban transport network modeling, sustainable transportation and green logistics, and supply chain management. Dr. Wang has published papers in journals such as Transportation Research Part B, Transportation Science, IISE Transactions, Naval Research Logistics, and European Journal of Operational Research. Dr. Wang is an associate editor of Transportation Research Part E 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.
主讲人介绍
主持人介绍
抢先面对面
王帅安教授您好,请问通过这次讲座您希望我们能得到哪些收获呢?
云论坛
王帅安
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.
参会方式
受疫情影响,东大交院云论坛采用ZOOM会议的方式进行。
会议时间:2020/11/04 9:00-11:00
ZOOM会议 ID: 696 865 48264
会议密码:446640
会议链接:https://zoom.com.cn/j/69686548264
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