讲座内容：

Data driven research has been very popular in the last few years. Machine learning is an important element of this strand of research. In this presentation, machine learning approaches are employed to make prediction on two supply chain and logistics applications: the demand of healthcare products and the container throughput of a port.

主讲人信息：

Hing Kai Chan, Professor of Operations Management , Nottingham University Business School China. Editor-in-chief of Industrial Management & Data Systems(SSCI). Professor Chan has published over 100 peer-reviewed academic articles and (co-)edited several special issues for reputable international journals. His publications appear in Production and Operations Management, European Journal of Operational Research, various IEEE Transactions, Decision Support Systems, International Journal of Production Economics, International Journal of Production Research, among others. He has been the co-editor of Industrial Management & Data Systems (SCI-indexed)since 2014. He was the Associate Editor of the IEEE Transactions on Industrial Electronics (SCI-indexed) from 2009 to 2015, and the Associate Editor of the IEEE Transactions on Industrial Informatics (SCI-indexed) from 2014-2017. Professor Chan also serves as an Editorial Board Member (or similar) in a number of journals such as Transportation Research Part E: Logistics and Transportation Review (SCI-indexed), Online Information Review (SCI-indexed).