The Workshop on Urban and Transport Analytics was held in Hong Kong Baptist University on 13 March, 2018. Jointly organized by Department of Computer Science, the Research Cluster on Data Analytics and Artificial Intelligence and Centre for China Urban and Regional Studies, the workshop attracted 40 participants, including professors and senior postgraduate students.
The theme of the workshop includes Urban Analytics, Techniques and Algorithms in Data Science, Environmental/ Health Analytics and Transport Analytics/ Smart Transport. Since the topics are relatively new, the course is conducted by renowned experts from Mainland and Hong Kong.
Fifteen world-class scholars, including
- Dr. Biyu Chen, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University
- Dr. William Cheung, Department of Computer Science, Hong Kong Baptist University
- Dr. Byron Choi, Department of Computer Science, Hong Kong Baptist University
- Dr. Xiaowen Chu, Department of Computer Science, Hong Kong Baptist University
- Dr. K P Chun, Department of Geography, Hong Kong Baptist University
- Mr. Zhangcheng Huang, AI Senior Engineer, PingAn Technology’s Smart Urban Projects
- Mr. Jintao Ke, Department of Civil Engineering, The Hong Kong University of Science and Technology
- Dr. Jianfeng Li, Department of Geography, Hong Kong Baptist University
- Prof. Jiming Liu, Department of Computer Science, Hong Kong Baptist University
- Dr. Xingjian Liu, Department of Urban Planning and Design, The University of Hong Kong
- Prof. Donggen Wang, Department of Geography, Hong Kong Baptist University
- Prof. Jianliang Xu, Department of Computer Science, Hong Kong Baptist University
- Dr. Yang Xu, Department of Land Survey and Geoinformatics, The Hong Kong Polytechnic University
- Prof. Hai Yang, Department of Civil Engineering, The Hong Kong University of Science and Technology
- Prof. P C Yuen, Department of Computer Science, Hong Kong Baptist University,
delivered lectures on:
- A Survey on Querying Structures in Massive Networks
- An Exploratory Energy and Climate Study using Smart City Data: A Case Study of Sydney and Newcastle
- Complex Spatio-Temporal Systems Learning for Disease Control and Prevention
- Computational Time Geography for Urban and Transport Analysis in the Era of Big Data
- Domain Adaptation and Its Applications
- E-hailing Big Data Reveal a Horn-Shaped Distribution of Network Detour Ratios
- Exploring Associations between the Built Environment and Urban Vitality using Open Urban Data
- Exploring the Spatiotemporal Patterns of Taxi Ridership in Beijing from GPS Tracking Data
- Hexagon-based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services
- Modeling and Analytics of Temperature from Global to Urban Scales
- Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs
- PingAn Tech in Smart Transportation
- Social-Aware Ridesharing for Smart Transportations
- Unsupervised Learning Methods for Elderly Mobility Analysis and EHR-based Phenotyping
- Urban Analytics A Mobile Phone Data Perspective
The lectures sparked plentiful interaction between the speakers and the audience. Overwhelmingly positive comments are received.
More details at:
https://www.comp.hkbu.edu.hk/uta18/
