Seonju Kim

Seonju Kim

Researcher (Integrated BS/MS course)

B.S Environmental engineering, Kangwon National University (Expected in Aug. 2026).

Research topic:
AI, Process optimization, Autonomous design and process synthesis, Decarbonization

Poster Presentations:

1. Water AI-ready data 기반 N₂O 소프트센싱 알고리즘 개발
Author: SeonJu Kim, SungKu Heo
Conference: KSIEC Fall Meeting and Conference, Daegu, Korea, 2025

2. Multi-objective superstructure optimization 기반 지역별 통합 바이오 가스화 시설 최적 설계 방법론 개발
Author: SeonJu Kim, SungKu Heo
Conference: KIChE Spring Meeting and Conferencse, Jeju island, Korea, 2026

3. A Superstructure Optimization Framework for Regional Biogasification Facilities Design Using Techo·economic·environmental Data
Author: SeonJu Kim, SeungJun Na, SangGu Yun, SungKu Heo
Conference: 2026 Specialist Group Workshop of the Korean Society of Environmental Engineers (KSEE)

Oral Presentations:

1. Hybrid Transformer-driven autonomous soft-sensing system for N2O emissions in a full-scale wastewater treatment plant: Sensor fault reconstruction and quantification
Author: SeonJu Kim, SungKu Heo
Conference: Water in Industry 2026

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.