主题：Research Cases on the Applications of Data-driven Methods in Smart Cities

报告人：Hai WANG, Associate Professor, School of Computing and Information Systems, Singapore Management University

主持人：Jiaqi LU, Assistant Professor, School of Data Science, CUHK-Shenzhen

日期：19 June (Monday), 2023

时间：11:00 AM to 12:00 PM, Beijing Time

形式：Hybrid

线下地点：401 Meeting Room, Daoyuan Building

Zoom链接：https://cuhk-edu-cn.zoom.us/j/5304767369?pwd=aFErUGFSSDlLNWJld0VNNmpTL0k0UT09

Zoom会议号：5304767369

密码：852648

语言：English

摘要：

The rapid development and widespread adoption of mobile devices, sensors, IoT, and communication technology have led to the generation of vast volumes of multi-source, high-dimensional data in various systems within the broader framework of smart cities, including transportation, logistics, e-commerce, healthcare, etc. Consequently, numerous data-driven methods have been developed and implemented to address research challenges related to the design and operations of these systems. In this talk, we will briefly discuss several research cases on the applications of data-driven methods in smart cities. These cases include: (1) Descriptive methods for mobile transaction digits distribution and crowd-sourcing food delivery operations; (2) Predictive methods for ICU patient condition evaluation and freelance platform service quality prediction; (3) Prescriptive method for multi-objective matching optimization in ride-sourcing transportation. Through these cases, we aim to showcase the diverse applications of data-driven methods in addressing some key challenges in smart cities.

简介：

Dr. WANG Hai is an Associate Professor in the School of Computing and Information Systems at Singapore Management University and a teaching faculty at the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. He received B.S. from Tsinghua University and Ph.D. in Operations Research from MIT. His research focuses on methodologies of analytics and optimization, data-driven decision-making models, machine learning algorithms, and their applications in smart cities, transportation, logistics, and healthcare systems. He has published in leading journals such as Transportation Science, American Economic Review P&P, M&SOM, and Transportation Research Part B/C and has long-term collaborations with leading companies such as Meituan, Tencent, DiDi, and Upwork. He serves as Associate Editor for Transportation Science and Service Science, Special Issue Editor for Transportation Research Part B, Part C, and Service Science, and Editorial Board Member for Transportation Research Part C/Part E. Dr. Wang was selected as Chan Wu & Yunying Rising Star Fellow in transportation and mobility, received Lee Kong Chian Research Excellence Award twice, was nominated for MIT’s top graduate teaching award, and won the Excellent Teaching award at SMU. During his Ph.D. studies at MIT, he also served as the co-President of the MIT Chinese Students & Scholars Association and as Chair of the MIT-China Innovation and Entrepreneurship Forum.