Award:
- 환경공학회 우수논문상, 2019년도 대한환경공학회 국내 학술대회, 남기전, "에너지 효율과 수질의 개선을 위한 인공지능/강화학습을 이용한 MBR 자율 최적운전 시스템 구축을 위한 원천 기술 개발", 대한환경공학회, 2020년 11월
- Editor's Choice Selection-Cover paper, An autonomous operational trajectory searching system for an economic and environmental membrane bioreactor plant using deep reinforcement learning, Water Science and Technology (ISSN:0273-1223, SCIE), International Water Association(IWA) (2020.08)
- Editor's Choice Selection-Cover paper, Dual-objective optimization for energy-saving and fouling mitigation in MBR plants using influent prediction and an integrated biological-physical model, Journal of Membrane Science (ISSN: 0376-7388, JCR Top 3.4%) (2021.2)
- 우수연구학술상, 경희대학교 4단계 BK21 교육연구단, Inter-regional multimedia fate analysis of PAHs and potential risk assessment by integrating deep learning and climate change scenarios, Journal of Hazardous Materials (ISSN:0304-3894, SCIE, TOP 3%), 2021년 2월
- 회명대학원연구상, 2018년도 한국화학공학회 춘계학술대회, 남기전, "딥러닝-강화학습기반 막분리공정(MBR) 자율최적 운전시스템 연구", 한국화학공학회, 2018년 10월 26일
Internship:
- 영국 Imperial College London, CCS plant control and design (UK), 2018년 8월 28일~2018년 9월 14일(EDRC/산자부 인턴쉽 전액 장학)
Selected Publications: SCI/SCIE (총 30여 편), 국내학회지 (3편)
- KiJeon Nam†, SungKu Heo†, GaHee Rhee, MinJeong Kim, and Chang Kyoo Yoo*, Dual-objective optimization for energy-saving and fouling mitigation in MBR plants using influent prediction and an integrated biological-physical model, Journal of Membrane Science (ISSN: ISSN: 0376-7388, JCR Top 3.4%), 625(5), pp.119208 (2021.2) (Editor’s choice-Cover paper)
- KiJeon Nam† , SungKu Heo† , Jorge Loy-Benitez, Pouya Ifaei, and ChangKyoo Yoo* , An autonomous operational trajectory searching system for an economic and environmental membrane bioreactor plant using deep reinforcement learning, Water Science and Technology(ISSN:0273-1223, SCIE), 81(8), pp. 1578-1587, International Water Association(IWA) (2020.08) (Editor’s choice-Cover paper)
-KiJeon Nam†, Soonho Hwanbo† , and ChangKyoo Yoo* , A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea, Renewable and Sustainable Energy Reviews (ISSN: 1364-0321, SCI, IF=10.5, Top 1 journal-green sustainable science & technology), 122(4), 109725(pp.1-18), (2020.04)
- KiJeon Nam, SungKu Heo, SangYoun Kim, ChangKyoo Yoo* ,A multi-agent AI reinforcement-based digital multi-solution for optimal operation of a full-scale wastewater treatment plant under various influent conditions , Journal of Water Process Engineering (ISSN: 2214-7144, SCIE, JCR TOP 10%: Water Resources), Elsevier, 52(4), pp.103533 (2023.4)