Profile

Kai Ren

Postdoctoral Researcher Lecturer

State Key Laboratory of Climate System Prediction and Risk Management
Nanjing Normal University

kai@njnu.edu.cn renkaigis@gmail.com Lecturer Nanjing, China Curtin University, 2023.03 - 2025.03

Biography

Academic Background

I am a postdoctoral researcher at Nanjing Normal University. My work focuses on geospatial analysis, climate change and agriculture, spatial interpolation prediction of meteorological elements, GIS modeling and simulation, lake hydrodynamic numerical model simulation, and front-end/back-end GIS software systems.

I was a Research Associate at Curtin University from 2023.03 to 2025.03. I welcome collaborations on agricultural GIS, spatial prediction, climate impacts on production systems, and applied geospatial modeling.

Academic Gallery

Selected Group Photos with Leading Scholars

Appointments

2025 - Present

Postdoctoral Researcher and Lecturer, Nanjing Normal University

Geospatial analysis, climate change and agriculture, and applied GIScience research.

2023.03 - 2025.03

Research Associate, Curtin University

School of Design and the Built Environment; geospatial analysis and climate-agriculture research.

Education

Ph.D. Researcher, Northwest A&F University

Land Resources and Spatial Information Technology; spatial prediction and climate change research.

M.S. in Cartography and Geographic Information System, Nanjing Normal University

School of Geography; Key Laboratory of Virtual Geographic Environment, Ministry of Education.

B.S. in Geographic Information System, Northwest A&F University

Selected Publications

  1. Ren, K.*, Song, Y.*, Yang, X., Wang, X., Chen, M., Yu, Q., 2026. Spatial outliers as a pattern determinant for explaining heterogeneity. International Journal of Geographical Information Science. DOI
  2. Ren, K., Song, Y.*, Yu, Q.*, 2026. Second-dimension outliers for spatial prediction. International Journal of Geographical Information Science, 40(6), 1915-1942. DOI
  3. Ren, K., Song, Y.*, Li, L., Mancini, F., Xiao, Z., Zhang, X., Qu, R., Yu, Q.*, 2025. Identifying climate and environmental determinants of spatial disparities in wheat production using a geospatial machine learning model. GIScience & Remote Sensing, 62(1): 2533487. DOI
  4. Yang, X., Song, Y., Yoo, C., Ren, K., Wu, P., 2025. Irregular anisotropy in surface urban heat island footprint. Sustainable Cities and Society, p.106779. DOI

Skills

ArcGIS, ERDAS, ENVI, R, Python, Java, C++, C#, HTML/CSS/JavaScript, Vue, Spring Boot, GIS modeling, remote sensing, geospatial machine learning, and software development.

Academic Activity

Experience and Awards

Experience

Awards