(Oral Presentation) Multimodal Transformer-Based Nationwide Spatio-Temporal Particulate Matter Forecasting

SangGu Yun presented research on a multimodal Transformer-based nationwide spatio-temporal particulate matter forecasting model at the 2026 Annual Conference of the Korean Society of Environmental Engineers (KSEE) at Jeju Shinhwa World, Jeju, Korea. The presentation focused on developing a multimodal AI framework for predicting the spatio-temporal dynamics of PM₁₀ and PM₂.₅ across South Korea.