The Coastal Protection and Flood Resilience Institute (CFI Singapore) was pleased to host Assoc. Prof. Changhyun Jun from Korea University for a seminar on Integrating AI, Remote Sensing, and IoT for Advanced Rainfall Analysis: Toward Urban Flood Risk Reduction and Regional Hydrological Resilience.

Assoc. Prof. Jun, who leads the HydroMeteorology Sciences (HyMetS) Group, presented his team’s latest research on harnessing cutting-edge technologies—artificial intelligence, satellite-based remote sensing, and IoT sensor networks—to transform urban flood risk assessment and regional water resilience.

Key highlights from the session included:

• Applications of deep learning and image fusion techniques to improve rainfall estimation in urban settings

• Use of nonstationary and bivariate rainfall frequency models to better account for changing climatic and urbanisation patterns

• A multi-scale framework integrating real-time sensor data and remote sensing for early warning systems and infrastructure planning

The session drew researchers, engineers, and practitioners working in hydrology, climate adaptation, and urban water systems, and sparked productive discussion on the role of data-driven tools in supporting resilient infrastructure.

We thank Assoc. Prof. Jun for sharing his insights and contributions to this vital area of research and look forward to continued collaboration in advancing smart and sustainable solutions for flood-prone cities.

spatiotemporal monitoring from satellite and IoT sensors, this research establishes a multi-scale framework for early warning, flood mapping, and infrastructure design. The integrated methodology not only supports real-time flood forecasting in urban environments but also contributes to long-term regional planning for climate adaptation and water system resilience.