Zhewei Liu

Zhewei Liu

Biography

Zhewei LIU (刘哲维) got his PhD degree in GIS from the Hong Kong Polytechnic University. His research interests mainly include GeoAI, spatial big data analytics, human mobility, and a broader application of artificial intelligence in urban resilience, environmental justice and geography. Besides research, he is enthusiastic about reading and working out. He values humblness, compassion, and intellectual honesty. He also holds the opinion that few things can not be attained by combining konwledge and self-discipline.

Interests

  • Urban resiliece
  • GeoAI
  • Environmental justice
  • Spatial big data analytics
  • Human mobility

Education

  • Ph.D in Geographical Information Science, 2021

    The Hong Kong Polytechnic University

  • B.S. in Remote Sensing (RS) and Geographical Information Science (GIS), 2015

    Wuhan University

Experience

 
 
 
 
 

Postdoctoral Researcher

Texas A&M University

Dec 2022 – Dec 2023 College Station, Texas, U.S

Responsibilities include:

  • Research on enviromental justice and urban resilience with human mobility dataset
  • Developing novel models for urban analytics
  • Revealing fundamental rules for patterns of urban resilience
 
 
 
 
 

Research Associate

The Hong Kong Polytechnic University

Feb 2021 – Oct 2022 Hong Kong, PRC

Responsibilities include:

  • Research on GeoAI, spatial big data and human mobility
  • Developing novel models for urban analytics

Other Publications

(2022). A deep-learning approach for modelling pedestrian movement uncertainty in large-scale indoor areas. International Journal of Applied Earth Observations and Geoinformation.

Awards

Outstanding Graduates of Wuhan University

TOP 10% students

Annual Outstanding Students of Wuhan University, three times (2012, 2013, 2014)

TOP 10% students

Second Honor Scholarship of Wuhan University, 2014

TOP 10% students

Second Honor Scholarship of Wuhan University,2013

TOP 10% students

Xijie Special Scholarship

First Honor Scholarship of Wuhan University, 2012

TOP 2% students

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