GeoAI Research Portfolio
An interdisciplinary researcher applying GeoAI to urban science, using 3D mesh models, street-view imagery, and remote sensing for urban perception and spatial analysis.
Ph.D. in Geography
I'm an interdisciplinary researcher interested in applying GeoAI methods to advance urban science,
understand human-environment interactions in 3D urban space, and leverage 3D Mesh Model, street view and remote sensing for urban perception and analysis.
I am currently a Ph.D. student in Geography at Texas A&M University, advised by Prof. Lei Zou in the TAMU GEAR Lab. I previously earned my Master of Science in Spatial Data Science at the University of Southern California, advised by Prof. Siqin Wang and Prof. Yi Qi. I hold a Bachelor of Economics in Finance from Nanjing Audit University.
Previously, I was also a Research Assistant at HKUST(GZ), working in the AI4City Lab with Prof. Wufan Zhao. Before that, I worked as a Data Science Intern at City of Hope under the supervision of Dr. Jay Yang and as a Research Assistant at The Hong Kong Polytechnic University, advised by Prof. Zhiwei Li.
Outside the lab, I work as a Founding GTM/Scientist at Monid, where I build geodemographic segmentation and spatial analyses of user acquisition. I also share my journey as a study-abroad influencer on RedNote (Xiaohongshu) with 30k followers, and I founded AutoApplyClaw, an AI-powered job application platform that searches jobs, generates tailored resumes & cover letters, and auto-fills application forms via a Chrome extension, as well as AutonomousGeoAI4Science, an open AI and geospatial research community.
I am looking for collaborators and interns interested in GeoAI, Spatial Analysis, and their applications in urban science and human-environment interaction in 3D urban space. My goal is to develop novel tools, algorithms, and methodologies to empower future researchers in exploring Urban Science and understanding the dynamic relationship between humans and their environments. If you are interested in collaborating, please feel free to reach out via email or WeChat.
Zongrong Li, Meixu Yang, Lei Zou#, Hongxu Ma, Heng Tian, Shuyu Zhou, Wenying Gong, Kai Zhang, Binbin Chen, Ming Zhang, Yifan Yang (# corresponding author)
Submitted to ACM SIGSPATIAL 2026 2026
Zongrong Li, Meixu Yang, Lei Zou#, Hongxu Ma, Heng Tian, Shuyu Zhou, Wenying Gong, Kai Zhang, Binbin Chen, Ming Zhang, Yifan Yang (# corresponding author)
Submitted to ACM SIGSPATIAL 2026 2026
Zongrong Li, Lei Zou#, Jiwon Seo, Meixu Yang, Yifan Yang (# corresponding author)
Under review, Landscape and Urban Planning 2026
Zongrong Li, Lei Zou#, Jiwon Seo, Meixu Yang, Yifan Yang (# corresponding author)
Under review, Landscape and Urban Planning 2026
Zongrong Li, Fan Zhang, Shaoqiong Dai#, Wufan Zhao# (# corresponding author)
ISPRS Journal of Photogrammetry and Remote Sensing, 236, 622-639, 2026
Zongrong Li, Fan Zhang, Shaoqiong Dai#, Wufan Zhao# (# corresponding author)
ISPRS Journal of Photogrammetry and Remote Sensing, 236, 622-639, 2026
Zongrong Li, Haiyang Li, Yifan Yang, Siqin Wang#, Yinxin Zhu (# corresponding author)
International Journal of Applied Earth Observation and Geoinformation (JAG), 150, 105342, 2026
Zongrong Li, Haiyang Li, Yifan Yang, Siqin Wang#, Yinxin Zhu (# corresponding author)
International Journal of Applied Earth Observation and Geoinformation (JAG), 150, 105342, 2026
Zongrong Li, Yunlei Su, Filip Biljecki, Wufan Zhao# (# corresponding author)
International Journal of Applied Earth Observation and Geoinformation (JAG), 146, 105034, 2026
Zongrong Li, Yunlei Su, Filip Biljecki, Wufan Zhao# (# corresponding author)
International Journal of Applied Earth Observation and Geoinformation (JAG), 146, 105034, 2026
Zongrong Li, Junhao Xu, Siqin Wang#, Yifan Wu, Haiyang Li (# corresponding author)
Under second round of review, International Journal of Applied Earth Observation and Geoinformation (JAG) 2025
Zongrong Li, Junhao Xu, Siqin Wang#, Yifan Wu, Haiyang Li (# corresponding author)
Under second round of review, International Journal of Applied Earth Observation and Geoinformation (JAG) 2025
Zongrong Li, Qiluo Li, Haiyang Li, Siqin Wang#, Yi Qi# (# corresponding author)
Urban Informatics 2024
Zongrong Li, Qiluo Li, Haiyang Li, Siqin Wang#, Yi Qi# (# corresponding author)
Urban Informatics 2024
Zongrong Li, Yunlei Su, Wufan Zhao# (# corresponding author)
Accepted to ACM SpatialDI 2025
Zongrong Li, Yunlei Su, Wufan Zhao# (# corresponding author)
Accepted to ACM SpatialDI 2025
Auto-Eco is a fully automated pipeline for writing publication-ready econometrics papers. Given a research topic and dataset, it automatically completes literature review, causal identification, empirical analysis (CS-DiD, TWFE, IV), and LaTeX compilation — outputting a submission-ready PDF. Built as Claude Code skills with AER-standard specifications embedded. No Stata required.
Auto-Eco is a fully automated pipeline for writing publication-ready econometrics papers. Given a research topic and dataset, it automatically completes literature review, causal identification, empirical analysis (CS-DiD, TWFE, IV), and LaTeX compilation — outputting a submission-ready PDF. Built as Claude Code skills with AER-standard specifications embedded. No Stata required.
AutoApplyClaw is a full-stack job application automation platform. Search jobs from LinkedIn & Indeed, generate AI-tailored resumes and cover letters for each position using Claude, then auto-fill every application form with the Chrome extension — including open-ended questions answered from your actual CV. Built with React, FastAPI, Claude API, Tectonic (LaTeX compiler), and a Chrome Manifest V3 extension. Live at autoapplyclaw.com.
AutoApplyClaw is a full-stack job application automation platform. Search jobs from LinkedIn & Indeed, generate AI-tailored resumes and cover letters for each position using Claude, then auto-fill every application form with the Chrome extension — including open-ended questions answered from your actual CV. Built with React, FastAPI, Claude API, Tectonic (LaTeX compiler), and a Chrome Manifest V3 extension. Live at autoapplyclaw.com.
An interactive 3D globe tracing every AAG Annual Meeting location from 1904 to 2029, celebrating the association's 125th anniversary. Built with globe.gl and Three.js, it animates great-circle arcs between consecutive host cities, displays attendance trends, presidential history, and milestone annotations across 125 years of geography's premier gathering. Features a live leaderboard of top host cities, era-colored point markers, and background music.
An interactive 3D globe tracing every AAG Annual Meeting location from 1904 to 2029, celebrating the association's 125th anniversary. Built with globe.gl and Three.js, it animates great-circle arcs between consecutive host cities, displays attendance trends, presidential history, and milestone annotations across 125 years of geography's premier gathering. Features a live leaderboard of top host cities, era-colored point markers, and background music.
This project assesses the feasibility of a “car-free” 2028 Los Angeles Olympics, where all venue access relies on public transport. Using the Two-Step Floating Catchment Area (2SFCA) method, it analyzes accessibility, evaluating infrastructure, population density, and socioeconomic factors. By mapping the accessibility index (AI) across neighborhoods, the study examines whether the transit network can support the event. Future directions explore equity in access and the long-term transportation legacy of the Games.
This project assesses the feasibility of a “car-free” 2028 Los Angeles Olympics, where all venue access relies on public transport. Using the Two-Step Floating Catchment Area (2SFCA) method, it analyzes accessibility, evaluating infrastructure, population density, and socioeconomic factors. By mapping the accessibility index (AI) across neighborhoods, the study examines whether the transit network can support the event. Future directions explore equity in access and the long-term transportation legacy of the Games.
Foursquare Open Source Places (FSQ OS Places) is a high-quality, open POI (Points of Interest) dataset released by Foursquare, containing over 104 million POIs worldwide. While platforms like OpenStreetMap (OSM) and Overture Maps aim to improve open POI coverage, FSQ OS Places provides a more extensive and precise dataset. This repository provides a step-by-step guide on downloading POI data and converting it from GeoJSON to Shapefile (SHP) for use in ArcGIS Pro, QGIS, and other GIS applications.
Foursquare Open Source Places (FSQ OS Places) is a high-quality, open POI (Points of Interest) dataset released by Foursquare, containing over 104 million POIs worldwide. While platforms like OpenStreetMap (OSM) and Overture Maps aim to improve open POI coverage, FSQ OS Places provides a more extensive and precise dataset. This repository provides a step-by-step guide on downloading POI data and converting it from GeoJSON to Shapefile (SHP) for use in ArcGIS Pro, QGIS, and other GIS applications.
This repository contains the computer code that supported the publication of our research: "Multi-source Tri-environmental Conceptual Framework for Fire Impact Analysis" (under review in Urban Informatics). This package helps researchers quickly generate high-resolution population density layers using dasymetric mapping, a sophisticated geospatial technique that leverages detailed land cover data to distribute demographic data across predefined spatial units, such as census blocks.
This repository contains the computer code that supported the publication of our research: "Multi-source Tri-environmental Conceptual Framework for Fire Impact Analysis" (under review in Urban Informatics). This package helps researchers quickly generate high-resolution population density layers using dasymetric mapping, a sophisticated geospatial technique that leverages detailed land cover data to distribute demographic data across predefined spatial units, such as census blocks.
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Texas A&M University, College Station, TX
zongrong@tamu.edu
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