The rapid development and widespread adoption of mobile devices, sensors, and IoT have led to the generation of vast volumes of multi-source, high-dimensional data 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 briefly discuss several research cases on the applications of data-driven methods in smart cities, include: (1) Descriptive methods for mobile transaction digits distribution and crowd-sourcing food delivery; (2) Predictive methods for ICU patient evaluation; (3). Prescriptive method for multi-objective matching in ride-sourcing. Through these cases, we showcase the diverse applications of data-driven methods in addressing some key challenges in smart cities.

Papers:

Last digit tendency: https://www.sciencedirect.com/science/article/pii/S2667325823003503?via%3Dihub

Driver routing: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4298793

Ride-sourcing matching: https://pubsonline.informs.org/doi/10.1287/msom.2020.0247

Dr. WANG Hai is an Associate Professor in the School of Computing and Information Systems at Singapore Management University, visiting faculty at Carnegie Mellon University, and Chief Data Officer for the M3S AI program of Singapore-MIT Alliance for Research and Technology. He received B.S. from Tsinghua and Ph.D. from MIT. He focuses on analytics and optimization, data-driven decision-making, machine learning, and their applications in smart cities. He publishes in journals such as Transportation Science, American Economic Review P&P, M&SOM, Transportation Research Part B/C/E, and collaborates with companies such as Meituan, Tencent, DiDi, Grab, Upwork, and Changi Airport. He serves as Associate Editor for Transportation Science and Service Science, and Special Issue Editor for Transportation Research Part B/C. During his Ph.D. at MIT, he served as the Chair of the MIT-China Innovation and Entrepreneurship Forum.

For more information about the ESD Seminar, please email esd_invite@sutd.edu.sg