(Oral presentation) Multimodal AI for nationwide air quality dyanmics.

SeonJu Kim presented “M³-PMFormer: A Multimodal mapping transformer for citywide spatio-temporal PM forecasting in Korea” at AP-SDEWES 2026, Shenzhen, China. The presentation focused on the development of mulitmodal AI framework for predicting particulate matter (PM) dynamics across the South Korea, with emphasis on real-time and multi-step prediction of PM.