About

I am a researcher passionate about exploring the intersection of geospatial data, urban sustainability, and social equity. Currently, I completed an MSc in Geographic Data Science and Spatial Analytics at the University of Bristol, where I build upon my undergraduate foundation in Geographic Information Science from Jiangxi University of Science and Technology. My academic journey has equipped me with strong expertise in GIS, remote sensing, and data-driven modeling, which I apply to investigate how cities can become smarter, fairer, and more resilient in the face of environmental and social challenges.

My long-term goal is to reveal and address the hidden inequalities faced by vulnerable communities in urban environments— particularly in relation to infrastructure accessibility, exposure to environmental risks, and resilience to extreme weather. By integrating geospatial big data with machine learning techniques, I aim to contribute research that informs data-driven policies for sustainable and inclusive urban development.

I’ve recently created an open-source digital book titled “Geospatial Data Processing and Visualization”, built with MyST and Jupyter Book. It serves as a structured and interactive documentation of my work in geospatial analysis, GIS data workflows, and Python-based geoprocessing automation. The book is designed to share reproducible research workflows and to help others learn about real-world applications of spatial computation and visualization.

🌐 Explore the book here: https://coldzera-010825.github.io/gis/

Research Interests

• Geospatial big data analysis and visualization for sustainable urban development
• Machine learning and multi-source data fusion for environmental risk prediction
• Urban Heat Island effect, heatwave dynamics, and their disproportionate impacts on vulnerable groups
• Remote sensing applications for land-use change and urbanization processes
• Exploring inequalities in infrastructure access and environmental justice in cities

Background

• Research Internships: Experience with GIS engineering, digital twin technologies, and international organizations (UNIDO, CCP12, WCCO)
• 09/2019 – 06/2023: B.Sc. in Geographic Information Science, Jiangxi University of Science and Technology (Ranked Top 5 in Department)
• 09/2023 – 11/2024: M.Sc. in Geographic Data Science and Spatial Analytics, University of Bristol
• 02/2025 – present: 51WORLD Digital Twin Technology Co., Ltd. (Technology & Business Manager)

Professional Skills

• GIS & Remote Sensing: ArcGIS Pro, QGIS, ENVI, ERDAS, PostGIS
• Programming & Data Analysis: Python (Pandas, NumPy, GeoPandas, Arcpy), R (ggplot2, tmap), SQL
• Machine Learning & Deep Learning: Scikit-learn, TensorFlow, PyTorch, SAE, ST-CNN
• WebGIS Development: HTML/CSS/JS, OpenLayers, Leaflet, ArcGIS API for JavaScript
• Data Visualization: Advanced use of R, Python, and interactive dashboards