News

SeonJu received the Conference Paper Award in KSEE for A multi-objective Superstructure Optimization Framework for Regional Biogasification Facilities Design Using Techno-economic and environmental Data.

Prof. SungKu Heo presented autonomous operation of wastewater treatment plants based on digital twins: Trustworthy AI-driven optimal control and real-world validation at the conference of KSEE

Prof. SungKu Heo presented Nationwide techno-economic and environmental assessment of wastewater-derived hydrogen production for the transition to a hydrogen economy at the conference of the Korean Society of Environmental Engineers (KSEE)

Greenest A.I. participated in the conference of the Korean Society of Environmental Engineers (KSEE) held on November 20 at Shinhwa World, Jeju Island

Seonju Kim presented research on N₂O Soft-Sensing Algorithm Based on Water AI-Ready Data at the 2025 Fall Meeting of KSIEC

The founding team (Taeyoon, Jeongun, Wonjae) received the encouragement prize in KOSAE for developing the M3-PMFormer spatio-temporal PM forecasting model.

The founding team (Taeyoon, Jeongun, Wonjae) provide the first conference presentation of our lab in KOSAE.

Prof. SungKu Heo participated in a panel discussion during Session 1: “New Challenges in Water Management Toward Net Zero” at the Chuncheon Global Water Forum 2025.

Prof. SungKu Heo was invited to talk “AI Transformation in Atmospheric Aerosol: Trace Pollutants Softsensing, HVAC Control, Nationwide Monitoring" at Korean association for particle and aerosol research (KAPAR), Korea.

SeonJu delivered an oral presentation titled “A Multi-Objective Superstructure Optimization Framework for Regional Biogasification Facility Design Using Techno-Economic and Environmental Data” at the Korea Society of Waste Management (KSWM) in Korea.