The Urban Analytics Lab at KAIST leads innovative research to tackle the complexities of urban resilience, climate adaptation, and sustainable development. Combining expertise in urban AI, spatial computing, and adaptive systems, we utilize advanced tools such as geospatial intelligence, and machine learning to deliver transformative, data-driven solutions. Focusing on climate vulnerability and spatial inequalities, we collaborate globally to design next-generation urban strategies. Our work integrates real-time sensing, predictive analytics, and scenario planning to support adaptive cities and equitable development. Our mission is to embed risk management, climate resilience, and technological innovation into urban systems, fostering sustainable, inclusive, and future-ready communities.
Geophysics-Human Interaction Model (GHIM) development, Ministry of Science and ICT, Korea, Co-investigator (2025–2030)
AI-based satellite data analysis for predicting climate migration patterns and assessing urban absorptive capacity: A framework for sustainable resettlement and urban resilience, Creative challenge project, KAIST, Korea, Principal investigator (2025)
AI-driven downscaling technology development study to establish global city-scale multi-regional input output table, KAIST-NYU cooperation project, KAIST, Korea, Co-investigator (2025)
Optimizing green-blue infrastructure for climate change adaptation and elderly health promotion in dense urban communities, Korea-China cooperation project, Ministry of Science and ICT, Korea, Principal investigator (2024–2026).
Mobility 100: Development of sustainable village-level mobility innovation technologies and policies in an super-aged society, Ministry of Science and ICT, Co-investigator (2024–2026).
Future changes and development directions of environmental policy in 2050, Ministry of Environment, Korea, Co-researcher (2024).
Research on generative AI service governance and regulation, Korea-USA cooperation project, KAIST G-School, Korea, Co-researcher (2024).
Optimization strategies for green infrastructure to enhance carbon neutrality contribution and climate disaster response efficiency in underdeveloped countries, KAIST Graduate School of Green Growth & Sustainability, Korea, Principal investigator (2024).
Assessing the impact of green-blue adaptation strategies for climate change on gentrification in underdeveloped countries, Shanghai Key Laboratory of Urban Design and Urban Science (NYU Shanghai), China, Principal investigator (2024).
Do speed camera discriminate? KAIST, Korea, Principal investigator (2024).
Strategic planning for KAIST New York campus, KAIST G-School, Korea, Principal investigator (2023–2024).
Development of a big data-physical model integrated framework for adaptive future strategy establishment, Ministry of Science and ICT, Korea, Co-researcher (2023–2024).
Optimization of future pathways for the Climate-Energy-Water-Food Nexus using Meta-Earth, KAIST, Korea, Co-researcher (2023).
How does exposure to climate risk contribute to gentrification and social inequality? KAIST, Korea, Principal investigator (2022–2025).
Gyeongbuk future vision 2045, Gyeongsangbuk Province, Korea, Co-researcher (2022–2024).
Precise optimization of urban greenspace and living space quality for improving mental health: Taking Shanghai as an example, Ministry of Natural Resources, China, Co-researcher (2022–2024).
The relationship between blue/green space and residents' health in high-density urban environment, Ministry of Education, China, Co-researcher (2022–2023).
Environmental policy research for achieving sustainable development goals, Ministry of Environment, Korea, Co-researcher (2022).
Strategies for digital and green transformations to realize carbon neutrality, Korea Information Society Development Institute, Korea, Co-researcher (2022).
Economic effects of land conservation spatial characteristics for climate change adaptation, Lincoln Institute of Land Policy, USA, Principal investigator (2020–2021).