LAB NOTICE
- [축하] [졸업생,허성구 박사] 영국 임페리얼 공대/Research Associate 임용 (2024년 7월 22일자)
- [축하] [졸업생, 허성구 박사] 영국 임페리얼 공대/Research Associate 임용 (2024년 7월 22일자) 연구실 졸업생 허성구 박사(2024년 졸업)가 2024년 7월 22일부터 영국 임페리얼 공대 "Research Associate" 임용되었습니다 (환경 모델링: 환경AI/LCA/탄소)경희대학교 환경학 및 환경공학과 12학번으로 우리 학과에서 학사-석사-박사 학위를 받고 영국 임페리얼 공대 "Research Associate" 임용된 좋은 소식 공지합니다. 최근 2년간 유창규 교수 연구실 박사졸업생들은 24년 허성구 박사 임용(임페리얼 공대,24년 졸업), 24년 남기전 교수 부경대 임용(22년 졸업), 24년 임준요 박사 임용 (미국 Argonne National Lab 국립연구소, 23년 졸업), 24년 Hai Tra 박사 임용(싱가포르 난양공대 Energy Research Institute, 24년 졸업), 23년 Usman Safder 박사 임용(아일랜드 Energy Research Institute, 22년 졸업)등등 박사학위 졸업생들이 100% 국내 및 해외 주요 연구소 및 학교에 임용되어 연구실의 우수한 Ph.D. career 및 output을 보여주고 있습니다. Name: 허성구 박사email: energizer@khu.ac.kr, s.heo@imperial.ac.uk 경력 및 학력 -학사 : 경희대학교 환경학및환경공학과, 2012.02-석사 : 경희대학교 환경응용과학과, 2018.02-박사 : 경희대학교 환경응용과학과, 2024.02 (경희대학교 대학원 공학계열 최우수 박사학위논문상 수상)-방문연구:미국, 서던 캘리포니아 대학교 (6개월, 2023.06 ~ 2023.11) 경력-박사후연구원: 경희대학교 환경응용과학과- 2024.3.1 ~ 2024. 5.31현직장- 영국 임페리얼 공대/Research Associate-2024. 7.22 ~ 현재 Award: (총 11건)- 환경부장관상 (최우수구두발표상), "A global assessment of public perceptions in social media to evaluate the relationship between climate changes and natural events using big data-based machine learning techniques", 2019년 기후변화학회 상반기 학술대회, 2019년 6월.- 4단계BK21사업표창 (신산업 분야 부총리 겸 교육부장관 표창), 4단계 BK21 교육연구단, 2024년 4월.- 대한민국부총리표창, "Extraordinary scholarship to fund the emerging young researcher who shall academically stand for the Kyung Hee university in the future", National research fund (NRF), 2023년 12월.- Editor's Choice Selection-Cover paper (Co-1st author), "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), 2020년 8월.- KHYSS (Kyung Hee Honor Young Scholar Society) 1기, "신진연구인력 육성을 위한 우수대학원생 장학", 경희대학교 4단계 BK21 교육연구단. 2021년 1월.- Editor's Choice Selection-Cover paper (Co-1st author), "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%), 2021년 2월.- KHYSS (Kyung Hee Honor Young Scholar Society) 2기, "지능형 DeepAI 융합기술 기반 Greenest 친환경 프린팅 자율제어&자율 설계 원천기술 연구", 경희대학교 4단계 BK21 교육연구단. 2021년 2월.- 우수연구학술상, "Data-Driven Hybrid Model for Forecasting Wastewater Influent Loads Based on Multimodal and Ensemble Deep Learning", IEEE Transactions on Industrial Informatics (ISSN:1551-3203, SCI, IF = 10.2, Top 1 journal: Engineering Industrial), IEEE, 17(10), pp.6925-6934, 경희대학교 4단계 BK21 교육연구단, 2022년 2월.- 우수논문상, 4단계 BK21 교육연구단, 2023년 2월.- 2023년 경희대학교 대학원 공학계열 최우수 박사학위논문상, 경희대학교, 2024년 2월.- 우수발표논문상, 2024년 한국물환경학회 ∙ 대한상하수도학회 공동학술발표회, 2024년 3월.Selected Publications (40 papers, First author:17)1. Data-Driven Hybrid Model for Forecasting Wastewater Influent Loads Based on Multimodal and Ensemble Deep Learning, IEEE Transactions on Industrial Informatics (2020.11), IF=9.112/ JCR Top 3% (ENGINEERING, INDUSTRIAL))2. A proactive energy-efficient optimal ventilation system using deep learning and AI-iterative dynamic programming under outdoor air quality conditions, Applied Energy (ISSN: 0306-2619), Elsevier,266, pp.114893 (2020.3), IF=8.848/ JCR Top 3%)3. A deep reinforcement learning-based autonomous ventilation control system for smart indoor air quality management in a subway station, Energy and BBuildins, Elsevier, 202(10), 109440 (2019.11), IF=4.867/ JCR Top 3% (ENGINEERING, CIVIL))4. A hybrid machine learning–based multi-objective supervisoary control strategy of a full-scale wastewater treatment for cost-effective and sustainable operation under varying influent conditions, J. Cleaner Production (ISSN:0959-6526), Elsevier, Accepted (2020.01), IF=7.246/ JCR Top 7% (ENVIRONMENTAL SCIENCES))5. Deep learning driven QSAR model for environmental toxicology: effects of endocrine disrupting chemicals on human health, Environmental Pollution (ISSN: 0269-7491), Elsevier, 253(10), pp.29-38 (2019.10), IF=6.793/ JCR Top 8% (ENVIRONMENTAL SCIENCES))6. 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), International Water Association, 81(8), pp. 1578-1587 (2020.04), (Editor’s choice-Cover paper)7. Optimal utility supply network under demand uncertainty for operational risk assessment on a petrochemical industrial park, The Korean J. of Chemical Engineering (ISSN: 0256-1115), (2020.07)8. Development of deterministic-stochastic model to integrate variable renewable energy-driven electricity and large-scale utility networks: Towards decarbonization petrochemical industry, Energy (ISSN: 0360-5442, SCI, Top 5% journal – THERMODYNAMICS), Elsevier, 238(1), pp.122006 (2022.1) (2022.1)9. Digitallytransformed early-warning protocol for membrane cleaning based on a fouling-cumulative sum chart: Application to a full-scale MBR plant, Journal of Membrane Science (ISSN: ISSN: 0376-7388, IF=8.7, JCR Top 3.4%), 643(3), pp.120080(2022.3)학진등재지:1. 산업단지 VOC 저감 최적가용기법 (BAT) 선정을 위한 다매체 거동모델 기반 인체위해성·환경성·경제성 평가, Korean Chemical Engineering Research (HWAHAK KONGHAK, ISSN: 0304-128X), Scorpus, 58(3), pp.325-345 (2020.3) (2020.5)2. 기후 변화 적응을 위한 벡터매개질병의 생태 모델 및 심층 인공 신경망 기반 공간-시간적 발병 모델링 및 예측, Korean Chemical Engineering Research (HWAHAK KONGHAK, ISSN: 0304-128X), Scorpus, 58(2), pp.197-208 (2020.4)3. 첨단 전자산업 폐수처리시설의 Water Digital Twin(I): e-ASM 모델 개발과 Digital Simulation 구현, Clean Technology(청정기술) (2022.1) 4. 첨단 전자산업 폐수처리시설의 Water Digital Twin(II): e-ASM 모델 보정, 수질 예측, 공정 선택과 설계, Clean Technology(청정기술) (2022.1) Patents :1. 발명인명: 유창규, 허성구, 호르헤 로이 베니테즈, 출원/등록인명: 경희대학교 산학협력단, 인공지능을 이용하여 손실 데이터를 보정함에 따라 환기 장치를 제어하는 환기 제어 장치 및 방법, 출 원 번 호: 10-2020-0162066 (YOO, ChangKyoo, HEO, SungKu, Patent No. 10-2020-0162066), 출 원 일 자: 2020.11.27 2. 발명인명: 유창규, 허성구, 출원/등록인명: 경희대학교 산학협력단, 지하역사 내 환기 시스템 및 그 제어 방법, 출 원 번 호: 10-2019-0076226 (YOO, ChangKyoo, Heo, Seong Gu, Patent No. 10-2019-0076226), 출 원 일 자: 2019.06.26
2024-07-24
- [Mohammad박사과정, Energy/JCR5%] Flare gas배가스와 정수생산공정에서 지속가능 수소생산 통합공정 기술경제성평가 (Hydrogen Production from Flare Gas and Produced Water ==>TEA/LCA)
- Hi EMSEL,Good morning and good news.Happy to inform you that EMSEL Ph.D student, Mohammad's paper has been accepted at Energy journal(Congratulations for this paper acceptance Title: Sustainable Hydrogen Production from Flare Gas and Produced Water (CCU research)Keywords: Carbon and water footprint; Hydrogen production; Net-negative alternative; Supercritical water desalination; Techno-economic and environmental study;연구실 박사과정 Mohammad 학생논문이 Energy journal (IF 9, JCR TOP 5% journal)에 게재 승인되었습니다. Energy분야 JCR TOP 5%내 매우 좋은 저널..연구주제 : flare 배가스와 정수생산공정에서 지속가능 수소생산의 통합 멀티제너레이션 공정의 기술경제성평가 : TEA/LCA CCU 연구 Mohammad Moosazadeh, Shahram Ajori, Vahid Taghikhani, Rouzbeh G. Moghanloo, ChangKyoo Yoo*, Sustainable Hydrogen Production from Flare Gas and Produced Water: A United States case study, Energy( ISSN: 0360-5442, SCI, IF=9, Top 5% journal - THERMODYNAMICS), Elsevier, 306(10), pp.132435 (2024.10) (Ack: NRF2021R1A2C2007838))---------- Forwarded message ---------보낸사람: Energy <em@editorialmanager.com>Date: 2024년 7월 12일 (금) 오전 12:36Subject: Your SubmissionTo: ChangKyoo Yoo <ckyoo@khu.ac.kr>Ms. Ref. No.: EGY-D-24-01369R1Title: Sustainable Hydrogen Production from Flare Gas and Produced Water: A United States case studyEnergyDear Professor Yoo,I am pleased to confirm that your accepted manuscript has now been sent to production for typesetting.Your accepted manuscript will now be transferred to our production department and work will begin on creation of the proof. If we need any additional information to create the proof, we will let you know. If not, you will be contacted again in the next few days with a request to approve the proof and to complete a number of online forms that are required for publication.We appreciate and value your contribution to Energy. We regularly invite authors of recently published manuscript to participate in the peer review process. If you were not already part of the journal's reviewer pool, you have now been added to it. We look forward to your continued participation in our journal, and we hope you will consider us again for future submissions.Kind regards,EnergyComments from the Editors and Reviewers:%COMMENTS_TO_AUTHOR%
2024-07-12
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)
