LAB NOTICE
- [DAC 특허출원:Mahmoud,김상윤,전나영] DAC 흡착 탄소기반 액상 수소운반체 생산 방법 및 시스템(CCU)
- [DAC 특허출원:Mahmoud,김상윤,전나영] DAC 시스템 탄소와 바이오에너지 기반 액상 수소운반체 생산 방법 및 그 시스템(CCU)연구실에서 DAC 특허 출원 되었습니다. 직접공기포집 시스템의 액상 수소운반체 생산 출원인 :Mahmoud,김상윤,전나영 Hi all, I'm happy to announce to you that a new patent was applied from emsel researcher (Mahmoud,SY, NY).- patent : METHOD AND SYSTEM FOR PRODUCING LIQUID HYDROGEN CARRIER USING BIOENERGY-DRIVEN DIRECT AIR CAPTURE AND UTILIZATION SYSTEMCongratulations Mahmoud,SY, NY for your patent application. patent: 1.발명인명: , , 출 원 일 자 : 2026.8.3 (Ack: NRF 핵심연구(도약형))
2026-08-04
- [Usama Ali학생, Sust Cities Soc./IF=13.3, JCR 2%] 수요 적응형 재생에너지기반 수소생산 입지 선정과 규모산정 최적화:Two-stage GIS-MCDM optimization framework
- [Usama Ali, 김상윤, Umais박사과정 (A two-stage GIS-MCDM optimization framework for urban demand-adaptive siting and sizing of hybrid renewable hydrogen facilitiesTopic : two-stage GIS-MCDM optimization framework for urban demand-adaptive siting and sizing of hybrid renewable hydrogen facilitiesShahzeb Tariq1, SangYoun Kim, Umais Khan, Saeed Murtaza, -Tae Kim*ChangKyoo*, A two-stage GIS-MCDM optimization framework for urban demand-adaptive siting and sizing of hybrid renewable hydrogen facilities, Sustainable Cities and Society (SCI, IF=13.3, JCR 2%-Construction and Building) , 149(10), pp. 107768(2026.10) (Ack 3개: 연구재단 ((KEITI, ) 동국대 Shazeb 조교수 (연구실 박사 졸업생)와 동국대 김극태 교수님 Sustainable Cities and Society (SCI, IF=13.3, JCR 2%-Construction and Building) .-연구 주제:도시 수요 적응형 하이브리드 재생에너지 기반 수소 생산시설의 입지 선정 및 규모 산정을 위한 2단계 GIS-MCDM 최적화 프레임워크
2026-08-01
PUBLICATIONS
- Sustainable energies and machine learning: an organized review of recent applications and challenges
- Pouya Ifaei, Morteza Nazari-Heris, Amir Saman Tayerani Charmchi, Somayeh Asadi, ChangKyoo Yoo*, Sustainable energies and machine learning: an organized review of recent applications and challenges, Energy (ISSN: 0360-5442, SCI, Top 5% journal – THERMODYNAMICS), 266(1), pp.126432 (2023.3) (Ack 3개: Brain Pool Program2019H1D3A1A02071051 & NRF중견2021R1A2C2007838 & Collabo R&D of SMEs and Startups in 2022.(Project No. S3301144)
- Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach
- Shahzeb Tariq+, Jorge Loy-Benitez+, KiJeon Nam, SangYoun Kim, MinJeong Kim*, ChangKyoo Yoo*, Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach, Tunnelling and underground space (ISSN: 0886-7798, SCIE, JCR Top 10%-ENGINEERING, CIVIL, DOI), Elsevier, 131(1), pp.104843 (Ack: 2021R1A2C2007838 & Fine Dust Reduction Technology(21QPPW-B152306-03)
- Explainable multisensor fusion-based automatic reconciliation and imputation of faulty and missing data in membrane bioreactor plants for fouling alleviation and energy saving
- Abdulrahman H. Ba-Alawi, KiJeon Nam, SungKu Heo, TaeYong Woo, Hanaa Aamer, and Chang Kyoo Yoo*, Explainable multisensor fusion-based automatic reconciliation and imputation of faulty and missing data in membrane bioreactor plants for fouling alleviation and energy saving, Chemical Engineering Journal (IF>16.4, JCR TOP 3% journal/Top 1 journal-Chemical Engineering), 452(1), pp.139220 (2023.1) (Ack 3개:NRF2021R1A2C2007838, “Prospective green technology innovation project (2020003160009), SMEs and Startups in 2022 (Project No. S3301144)
