陈栋胜

RESEARCH INTEREST:

Smart city; Urban renewal; Urban modeling; Social sensing; Multi-source geospatial data fusion; Machine learning; Spatiotemporal analysis.

EDUCATION BACKGROUND:

Wuhan University Wuhan, China

Master of Science in Cartography and Geographic Information System 2018 – Present

  • Advisor: Prof. Qingquan Li

  • Research Topic: Designing Effective method recognizing urban village

Sun Yat-sen University Guangzhou, China

Bachelor of Science in Geographic Information Science 2014 – 2018

  • Thesis: Will the urbanization in China break the “Hu-Line” pattern in the future?

RESEARCH EXPERIENCE:

Research Assistant in Shenzhen University

Shenzhen, China 2019 – present

Work with Prof. Qingquan Li and Prof. Wei Tu

  • NSFC-JPI UE Joint Project “Sustainable Mobility and Equality in megacity Regions: patterns, mechanisms and governance”, to build a standard multi-scale spatial zoning database and complete a paper about Urban Village (slum) recognition in mega-city regions.

  • Digital China’s Traffic Big Data Competition, to analyze the difference of operating characteristics between floating car and ride-hailing car, and give suggestions for their cooperation and development (1st Prize).

  • Program “Living Shenzhen” in Bi-City Biennale of Urbanism\Architecture
    (UABB), to implement the experiments on sensing attention in and out of
    the Urban Village using an eye-tracker device.

Research Assistant in High-Performance Spatial Computational Intelligence Lab, China University of Geosciences

Wuhan, China 2018 – 2019

 Work with Prof. Yao Yao

  • Application for an open foundation of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University

  • Spatial analysis of economic structure in Shanghai

  • Building a spatial model coupling Luojia1-01 nighttime light and social sensing data

Research Assistant in Sun Yat-sen University

Shenzhen, China 2016 – 2018

Work with Prof. Xia Li

  • Research on whether the Belt and Road Initiative affects China’s urbanization pattern using nighttime light images and cellular automata

PUBLICATIONS:

  • Dongsheng Chen, Yatao Zhang, Yao Yao, Ye Hong, Wei Tu. Exploring the spatial
    differentiation of urbanization on two sides of the Hu Huanyong Line -based on nighttime light data and cellular automata. Applied Geography, 2019, 112: 102081.

  • Yao Yao, Dongsheng Chen, Le Chen, et al. A time series of urban extent in China using
    DSMP/OLS nighttime light data. PLoS ONE, 2018, 13(5): e0198189.

  • Yao Yao, Daiqiang Wu, Ye Hong, Dongsheng Chen, Liang Zhaotang et al. Analyzing the
    Effects of Rainfall on Urban Traffic-Congestion Bottlenecks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 504-512.

  • Le Chen, Xun Li, Yao Yao, Dongsheng Chen. Effects of population agglomeration on urban
    economic growth in China. Acta Geographica Sinica, 2018, 73: 1107-1120.

SCHOLARSHIPS & AWARDS:

  • Digital China 2020 Traffic Big Data Competition 1 st Prize 2020

  • Excellent Student Prize 2018

  • Outstanding Graduate Thesis of Sun Yat-sen University 2018

  • Excellent Student Scholarship 2017

  • Excellent Student Scholarship 2016

SKILLS:

  • Programming mainly in C++, mastering Python and MATLAB.

  • Mastering geospatial image analysis using libraries for feature extraction (e.g., GDAL for spatial computing, OpenCV for GLCM, PyTorch for VGG-net).

  • Proficient in using Geographic Information Systems (ArcGIS) and Weka, basic use of ENVI, eCognition, QGIS.