(Oral Presentation) AI-Based Autonomous Soft Sensor for N₂O Emission Quantification

Posted Nov 6, 2026

SeonJu Kim presented research on an AI-based autonomous soft-sensing system for N₂O emission quantification at the 2026 Annual Conference of the Korean Society of Environmental Engineers (KSEE) at Jeju Shinhwa World, Jeju, Korea. The presentation focused on an autonomous framework integrating sensor fault diagnosis, prediction, and real-time correction for reliable N₂O emission monitoring in wastewater treatment plants.

Activity
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.