(Poster presentation) AI-based autonomous soft sensing system for N₂O quantification

Posted Nov 7, 2025

SeonJu Kim presented “Development of an N₂O Soft-Sensing Algorithm Based on Water AI-Ready Data” at the 2025 Fall Meeting of the Korean Society of Industrial and Engineering Chemistry (KSIEC). This research work focused on the development of a data-driven soft-sensing framework for N₂O emissions using water AI-ready datasets.

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

We work for digital and autonomous solutions for a climate-resilient future, and push boundaries across autonomous systems, decarbonization, and circular innovation.