Our Lab’s Founding team recives encouragement prize in KOSAE

The founding team delivered the first presentation of our lab in KOSAE, and we are thrilled to share that we received the encouragement prize for our work. Our team developed an innovative forecasting model called M3-PMFormer, which predicts particulate matter (PM2.5 and PM10) across South Korea in both spatial and temporal domains. This AI system effectively captures the complex spatio-temporal dynamics of PM concentrations using a multimodal dataset. Go three idiots!!

Greenest A.I. Lab
Greenest A.I. Lab
Led by Prof. SungKu Heo

Environmental engineer researcher in environmental modeling and environmental AI in Kangwon National University (Department of Civil and Environmental Engineering, Environmental Engineering Major), in Chuncheon-si, Republic of Korea