I am a Research Associate at the Lab of Interdisciplinary Spatial Analysis, Department of Land Economy, University of Cambridge, currently leading spatial analysis work in the European Union’s Horizon 2020-funded project Emotional Cities(WP4). My expertise includes urban big data mining, spatial data science, geo-visualisation, and urban sensing and modelling. I have a strong interest in how the intersection of machine learning & AI and urban big data better supports urban planning, policy-making and smart management.
PhD in Land Economy, 2017-2021
University of Cambridge, United Kingdom
M.Phil. in Urban and Rural Planning, 2014-2017
Huazhong University of Science and Technology, China
B.Sc. in Resources Environment & the Management of Urban and Rural Planning, 2010-2014
Sichuan Agricultural University, China
#30DayMapChallengeevent was launched by Topi Tjukanov on Twitter. You can find the repository with detail and helpful resources on Github. It was a digital party for map lovers around the world.
This project use the neural word embedding technique (Doc2Vec) to explore Points of Interest (POIs) data especially in the relationship between POI Classes.
This project focuses on the crowdsourced data harvesting and data- mining of the multi-dimensional mechanisms of urban segregation combining the geo-coding of information with the rich attributes of this type of data. This project will conduct pilots at Cambridge in the UK and then compare it with prior study of Ningbo in China from an international perspective.