M.S. · Climate Technology Convergence, Kookmin University · CLIM Lab
최희도
Urban Climate & Machine Learning Researcher
I model urban climate risk with satellite data and graph neural networks, and turn it into platforms that support policy decisions.
LatestChoi, H. et al. (2026)Urban Climatedoi:10.1016/j.uclim.2026.102981 ↗Climate research, AI development, and deployable web platforms — I enjoy crossing the boundary between domain science and engineering.
Full list in §03 below — 10 R&D projects and 4 commissioned studies.
B.S. in Forestry, Environment and Systems · Minor in Software Convergence · Interdisciplinary major in Climate Big Data
ROK Army, 75th Division CBRN Battalion (Sergeant) · Drone pilot certificate (Dec 2022)
U-SAVERS climate activist (Outstanding Award) · Green Narae environmental education · Forest Big Data training
Global Climate Change, Innovative Monitoring & Modeling Lab (Advisor: Prof. Chul-Hee Lim)
KSCCR Best Poster & Best Presentation · Environmental Data Contest Excellence Award · President of the 'Greenery' academic society · ADsP, Forest Industrial Engineer, Big Data Engineer, GHG Management Engineer
Dept. of Climate Technology Convergence (Climate & Environmental Science), CLIM Lab
"Climate justice through explainable graph neural networks" — Urban Climate (IF 6.9, top 6%)
5th cohort, Chung In-wook Academic Scholarship Foundation — five graduate researchers selected nationwide
1 first-author SCIE article · 15 works · 8 awards — from the lab bench to the conference stage.
Urban Climate · Choi, H., Park, J. S., & Lim, C.-H. (2026)
GAT · XAI · IPCC AR6 · Urban Climate · Climate Justice
Joint International Symposium on Sustainable Forest Ecosystem Management 2026 (SFEM 2026) · Daegu, Republic of Korea · Choi, H., Park, J. S., & Lim, C.-H.
CRAFT · Forest carbon · Habitat suitability · Wildfire & landslide · 1 km grid · SSP to 2100
2026 Summer Conference of the Korean Society of Forest Science · Yeosu, Republic of Korea (in Korean) · Lee, H.-E., Choi, H., & Lim, C.-H.
Forest roads · Multi-objective optimization · Pareto frontier · Spatial decision support · Forest infrastructure
KSCCR 2026 Spring Conference (in Korean)
Heatwave · Budget optimization · Mortality reduction · Seoul 25 districts
KSCCR 2026 Spring Conference (in Korean)
Wildfire · Burned area · Indochina · Climate trend
2026 Joint Conference of Korean Forest Science Societies (in Korean)
EWS · STL · AR(1) · Forest Resilience · Google Earth Engine
2025 HUSS Environmental Consortium Conference “Climate Future” · Choi, H. & Chung, M. (in Korean)
Heat vulnerability · Vacant housing reuse · Heat shelters · Field survey · Zero-energy retrofit
KSCCR 2025 Spring Conference (in Korean)
GCN · Urban Heat Island · Spatial Statistics · Seoul
KSCCR 2025 Spring Conference (in Korean)
Climate Inequality · Flood Risk · Adaptation Cost
1st Forest Science AI Competition (NIFoS)
Satellite biomass · Forest management · GEDI · Carbon neutrality · LLM
2026 Forest Public Data & AI Startup Competition (KFS)
Forest public data · Young forestry · LLM · Decision support · Streamlit
2026 MCEE AX Idea Competition (KEPCO KDN · KOEN)
Satellite imagery · GHG disclosure · MRV · AX
2025 Environmental Data Utilization & Analysis Contest
GAT · LSTM · SSP · Vulnerability · Spatial Prediction
2025 Kookmin University Climate Change Response Business Idea Contest
Climate Finance · Carbon Neutrality
KSCCR 2025 Fall Conference · Outstanding Graduate Student Program (in Korean)
GAT · XAI · SHAP · AR6 · Climate Justice
From climate-AI research to deployed platforms — crossing the line between research and engineering.
1st Forest Science AI Competition — Grand Prize · Team Lead
An AI service that reads stand condition from satellite for a given parcel, projects 30-year growth, and compares the value of six management scenarios to support data-driven forest management. Grand Prize at the 1st Forest Science AI Competition.
Python · Satellite Remote Sensing · NASA GEDI · Google Earth Engine · LLM (interpretation) · NPV / Pareto +1
Forest Public-Data & AI Startup Competition — Excellence Award · Team Lead
From a single natural-language sentence, the AI extracts 27 decision variables, runs 11 parallel modules, and returns an integrated decision (village, forest products, capital, government support) within 14 seconds. Excellence Award at the KFS startup competition.
Python · Streamlit · LLM (RAG) · Public-Data OpenAPI · Parallel modules · Semantic + keyword search
2026 MCEE AX Idea Competition — Excellence Award (₩3M)
An MRV concept that cross-verifies corporate greenhouse-gas disclosures four ways using satellite imagery. Excellence Award at the 2026 MCEE AX Idea Competition.
Satellite Remote Sensing · Google Earth Engine · MRV · GHG disclosure · Python
LLM → Graph → LLM pipeline for climate-negotiation intelligence
An end-to-end LLM → Graph → LLM pipeline for climate-negotiation intelligence, retrospectively validated on the COP30 Belém adaptation-indicators outcome.
Python · PyTorch · R-GAT · Leiden community detection · Multi-LLM · Graph analysis
GAT-LSTM Spatiotemporal Model — 2100 SSP Scenarios
A GAT-LSTM model fusing climate, satellite, social and demographic data to predict vulnerability for 467 Seoul administrative dongs through 2100. Excellence Award at the 2025 Environmental Data Contest.
Python · GAT (Graph Attention Network) · LSTM · PCA · MKPRISMv21 · NASA LP DAAC (Earthdata) +3
Full-Stack Web Platform — Real-Time Risk Monitoring
A Seoul commercial-district risk platform with five modules: policy simulation, alert monitoring, economic ripple analysis, sector risk profiles, and interactive maps. Deployed on Netlify.
HTML5 · CSS3 · JavaScript · Sankey Diagram · Interactive Maps · Netlify
React Full-Stack — 25-District AI Recommendation
Composite safety-net scoring and AI-personalized recommendations for young single-person households across Seoul's 25 districts. A React full-stack platform with six views.
React.js · TypeScript · Recharts · Tailwind CSS · Radar Chart · Netlify
Web GIS — Leaflet.js + D3.js + Chart.js
A full-stack Web GIS visualizing Seoul's district-level climate vulnerability on an interactive map, combining three libraries — Leaflet, D3, and Chart.js.
HTML5 · CSS3 · JavaScript · Leaflet.js · D3.js · Chart.js +1
Tag weight indicates proficiency —expertadvancedbasic
Machine Learning & AI
Spatial Analysis / GIS
Programming
Climate Science
Tools & Frameworks
| Project | Role | |
|---|---|---|
| R&DInequality and the Value of Adaptation in the Era of Climate Crisis: A Spatial Approach for Climate Justice | Ministry of Education · National Research Foundation of Korea | Research Assistant |
| R&DDigital Innovation-Based Policy Platform for Mental Health Resilience in the Era of Climate Crisis | National Research Foundation of Korea | Research Assistant |
| R&DAI and Climate Technology–Policy Integrated Forest Assessment Model and Internationalization Research | Ministry of Science and ICT (Outstanding Young Researcher Program) | Research Assistant |
| R&DOptimal Access/Evacuation Route Analysis for Wildfire Suppression and Stakeholder-Tailored Information Sharing | Korea Forest Service · Korea Forestry Promotion Institute | Research Assistant |
| R&DField-Tailored Workforce Training for the Forest Industry: Integrated Landslide Management Specialists | Korea Forest Service | Research Assistant |
| R&DIntegrated Landslide Management Specialist Training Center | Korea Forest Service | Participating Researcher |
| R&DDevelopment of AI-Based Forest Road Route Selection and Design Technology | Korea Forest Service · Korea Forestry Promotion Institute | Research Assistant |
| R&DEcosystem Restoration Technologies for Enhancing Ecosystem Value | Ministry of Climate, Energy and Environment · KEITI | Research Assistant |
| R&DTechnology for Analyzing Corporate Financial Impacts of Physical and Transition Climate Risks | Ministry of Climate, Energy and Environment · KEITI | Research Assistant |
| R&DKookmin University Carbon Sink Specialized Graduate School Program | Korea Forestry Promotion Institute | Participating Researcher |
| CommissionedTranslation of UNFCCC Expert Training Courses | National Institute of Forest Science | Research Assistant |
| CommissionedAnalysis of Support Systems for Overseas Forest Resource Development | Korea Forestry Promotion Institute | Research Assistant |
| CommissionedTraining of Bioclimatic Research Specialists (2026)↗ Proposal | National Institute of Biological Resources | Principal Investigator |
| CommissionedClimate Risk Assessment under Compound Disasters (2026) | National Institute of Environmental Research | Research Assistant |
3 scholarships · 8 certifications · 7 training records · 9 awards
Chung In-wook Academic Scholarship Foundation (Sampyo Group) · reviewed by the Korean Society of Forest Science
A research fellowship for graduate researchers developing forest and forestry technology that can be applied directly in the field. Five researchers selected nationwide (₩120M in total) through document and interview review; awarded 25 August 2026 in Yeosu.
Preparing a GHG Inventory under the Enhanced Transparency Framework
FAO eLearning Academy
Engineer, Greenhouse Gas Management
Human Resources Development Service of Korea
Engineer, Big Data Analysis
Korea Data Agency (K-DATA)
Industrial Engineer, Forest
Human Resources Development Service of Korea
ADsP (Advanced Data Analytics Semi-Professional)
Korea Data Agency (K-DATA)
Computer Specialist in Spreadsheet & Database, Level 1
Korea Chamber of Commerce & Industry
Korean History Proficiency Test, Level 1
National Institute of Korean History
Ultra-light Vehicle (Drone) Pilot, Class 4
Korea Transportation Safety Authority
U-SAVERS Outstanding Activist Award
Climate Change Center
U-SAVERS Certificate of Completion
Climate Change Center · 2024.3.8 ~ 11.29
Climate Change Young Leadership Academy — Cohort 11
Climate Change Center
Green Narae Environmental Education Certificate
Mullae Youth Center · 2024.2.3 ~ 12.31
Seoul Youth Volunteer Planning Corps Certificate
Seoul Volunteer Center · 2025.5.9 ~ 9.12
Seongbuk Community Building Participation Certificate
Seongbuk-gu Office
Forest Big Data Analysis & Application Training
Korea Forest Service · Korea Forestry Promotion Institute · 2024.02.19 ~ 22
1st Forest Science AI Utilization Competition (Problem-solving & Service Creation)
WorkMulti-objective forest management decision-support AI — reads stand condition from satellite, projects 30-year growth and compares 6 management scenarios to support landowner decisions (Team lead)
2026 Forest Public Data & AI Startup Competition (Product & Service Development)
WorkSoop Starter — a system that guides young foresters' rural-village settlement (village · forest products · capital · government support) from a single natural-language sentence in 14 seconds (Team lead)
2026 MCEE AX Idea Competition (KEPCO KDN · KOEN)
WorkQuadruple verification of greenhouse-gas disclosure using satellite imagery
2025 Environmental Data Utilization & Analysis Contest (Direct Analysis)
WorkClimate vulnerability prediction using GAT-LSTM with climate scenarios: Seoul administrative dongs
KSCCR 2025 Spring Conference
WorkUrban heat island risk assessment of Seoul using spatiotemporal GCN
KSCCR 2025 Fall Conference · Outstanding Graduate Student Program
WorkExplainable AI (XAI) for climate justice: GAT- and AR6 framework-based spatiotemporal heat risk assessment of Seoul
KSCCR 2025 Spring Conference
WorkCost and effectiveness evaluation of adaptation for mitigating climate inequality and flood risk: districts of Seoul
2025 Kookmin University Climate Change Response Business Idea Contest
WorkPCAR: a climate-adaptation platform financial product
2025 Kookmin University Interdisciplinary Major Essay Contest
Work"Learning Climate Big Data" (essay)
Research collaboration, project inquiries, or just sharing ideas — always welcome.
Google Scholar
Publications & citations
Professional profile
GitHub
github.com/zxsa0716
Tech Blog
zxsa716.tistory.com
Location
CLIM Lab, Kookmin University · Seoul, Korea
© 2026 Heedo Choi (최희도) · All rights reserved.
Next.js 16 · TypeScript · Tailwind CSS v4 · Framer Motion
Last updated: 2026.10