Space-Time Analysis & Research Group

Ling Yin Ph.D. Professor Doctoral Supervisor

Research interests: Spatiotemporal data mining, Human mobility analysis and modelling, Spatially epidemic modelling, Space-time GIS, Transportation geography, Time geography, Urban computing

尹凌博士研究员博士生导师

研究方法：时空数据挖掘、人类移动性建模、传染病时空建模、地理信息系统研发
应用领域：公共卫生、交通规划、城市管理
联系方式：中国科学院深圳先进技术研究院F栋11楼邮箱：yinling@siat.ac.cn

Based on social perception and spatial intelligence, develop computational and data science methods to model significant urban dynamics (disease transmission, human mobility, traffic flow, etc.). Study fundamental issues of dynamic computational urban science and practical applications on epidemic prevention, transportation planning, urban planning, emergency management, mobile Internet services and big data services. Focused on spatiotemporal modelling of infectious diseases coupled with population dynamics, our research aims to provide scientific-based decision support for precision epidemic prevention and control.
基于社会感知与空间智能，构建能够解析重要城市动态（疾病传播、人类移动、交通流动等）的计算与数据科学方法，研究城市动态科学的基本问题，应用于流行病控制、交通规划、城市规划、应急管理、移动互联网服务和大数据服务。特别地，聚焦于耦合人群动态的传染病时空建模研究，旨在为疫情精准防控提供科学决策支持。

	由尹凌老师等完成的“重大呼吸道传染病疫情防控大数据方法、技术与应用”获由中国测绘学会颁发的2021年度测绘科技特等奖。
	Ling Yin. Fine-grained Geographical Computation of Infectious Diseases Coupled with Population Dynamics. Kang Liu. Study on the Impact of the Initial Outbreak Location of Infectious Diseases on the Risk of Intra-urban Spatiotemporal Transmission.

2021--至今  研究员
2013--2020  副研究员
2011--2013  助理研究员
中国科学院深圳先进技术研究院

2006.08--2011.05
The University of Tennessee at Knoxville
博士

2003.09--2006.07
南京大学硕士
1999.09--2003.07
南京大学学士