Poster Presentation on Water AI-Based N₂O Soft-Sensing

Seonju Kim, an integrated BS/MS course student, presented a poster at the 2025 Fall Meeting of the Korean Society of Industrial and Engineering Chemistry (KSIEC), held on November 7, 2025, at EXCO, Daegu. The poster presentation was titled “Development of an N₂O Soft-Sensing Algorithm Based on Water AI-Ready Data,” and focused on the development of a data-driven soft-sensing framework for N₂O emissions using water AI-ready datasets.

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