Haifeng Niu

Haifeng Niu

Research Associate

University of Cambridge

Biography

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.

Download my CV.

Interests
  • Urban Big Data Mining
  • Geospatial analysis
  • Urban Computation
  • Urban Dynamic Simulation
  • Urban AI
Education
  • 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

Projects

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30DayMapChallenge 2020 (External)

30DayMapChallenge 2020 (External)

An link to an github repo 30DayMapChallenge-bot.

London POI Classes Embedding

London POI Classes Embedding

This project use the neural word embedding technique (Doc2Vec) to explore Points of Interest (POIs) data especially in the relationship between POI Classes.

London POIs (External)

London POIs (External)

An link to an private project on github london-pois-data.

Spatial Analysis and Modelling (External)

Spatial Analysis and Modelling (External)

Course material for Spatial Analysis and Modelling.

Centre for Digital Built Britain 2018 Mini Porject

Centre for Digital Built Britain 2018 Mini Porject

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.

London Tweets (External)

London Tweets (External)

An link to an private project on github london-tweets.

Teaching Experience

Spatial Analysis and Modelling (available online)
Course Coordinator & Supervisior
Coordinating whole course and give supervision to Mphil students. Build website for students to access material online.
Mphil Dissertation Presentation
Second Panelist
Quantitative Research Methods
Supervisior
Supervising introduction and practices of Geographic Information System for Mphil students.
Graduate Project
Supervisior
Supervising graduate work for undergraduate students.

Skills

QGIS
Python
R
Statistics
SQL
Git

Contact

  • Department of Land Economy, 19 Silver Street, Cambridge, United Kingdom, CB3 0BL