석박사 통합과정 (ENV-AI/Energy-AI/Industrial-AI/SBR/QSAR)
energizer@khu.ac.krName: 허성구, SungKu Heo
Position: 석박사통합과정 (Ph.D. Candidate)
Education:
- 2012.03 ~ 2018.02 KyungHee University (BS, Environmental Engineering)
- 2018.03 ~ till date KyungHee University (Integrated MSc/Ph.D program)
Research Area: Environmental Informatics, AI-Autonomous operation system, Artificial Intelligence for Environment System, Advanced control, Big Data Analytics, Smart O&M, Energy Informatics, Deep reinforcement learning-based monitoring, control and optimization, SBR, QSAR
Honors:
1. First scholarship student of KHYSS(Kyung Hee Young Scholar Society)
2. 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, Oral, 세종대학교, 한국기후변화학회 2019년 상반기 학술대회 초록집 p.29 (2019.06.27)
3. 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) (2020.08)
4. 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%) (2021.2)
5. 우수연구학술상, 경희대학교 4단계 BK21 교육연구단,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 (2022년 2월)
Selected Publications (First author) :
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
석박사 통합과정 (AI+Environment)
taeyong0209@gmail.comPublication list (SCI/SCIE)
1. TaeYong Woo+ , KiJeon Nam+, SungKu Heo, Juin Yau Lim, SangYoun Kim, and ChangKyoo Yoo*, Predictive maintenance system for membrane replacement time detection using AI-based functional profile monitoring: Application to a full-scale MBR plant, Journal of Membrane Science (ISSN: ISSN: 0376-7388, IF=8.7, JCR JCR Top 3.4%), 649(5), pp.120400 (2022.5) (Editor’s choice-Cover paper)
2. TaeYong Woo+, A.S. Tayerani Charmchi+, Pouya Ifaei+, SungKu Heo, KiJeon Nam, ChangKyoo Yoo*, Three energy self-sufficient networks of wastewater treatment plants developed by nonlinear bi-level optimization models in Jeju Island, Journal of Cleaner Production (ISSN:0959-6526, SCIE, Top 10% journal:Engineering Civil), Elsevier, 379(11), pp.134465 (2022.11)
석사 과정 (AI+Environment)
tkddbs5234@naver.com / tkddbs5234@khu.ac.krName: 김상윤, KIM SANG YOUN
Position: MSc Student
Education:
- 2015.03 ~ 2019.02 KyungHee University (BS - Environmental Engineering)
- 2019.03 ~ till date KyungHee University (MSc - Environmental Engineering)
Research Area: 환경시스템공학, 생태모델링, 인공지능, 자율운전, Software, Smart Data Analytics, Artificial Intelligence/Big data, Deep learning/Reinforcement Learning, Smart O&M, 기후변화 지능화
email: tkddbs5234@naver.com /
Selected Publications:
INTERNATIONAL JOURNAL (SCI/SCIE)
1. Paulina Vilela, Gabriel Jacome, SangYoun Kim, KiJeon Nam, ChangKyooYoo, Population response modeling and habitat suitability of Cobitis choii fish species in South Korea for climate change adaptation, Ecotoxicology and Environmental Safety(SCI, JCR TOP20%), Volume 189, pp.109949 (February 2020)
2. TaeYong Woo+ , KiJeon Nam+, SungKu Heo, Juin Yau Lim, SangYoun Kim, and ChangKyoo Yoo, Predictive maintenance system for membrane replacement time detection using AI-based functional profile monitoring: Application to a full-scale MBR plant, Journal of Membrane Science (ISSN: ISSN: 0376-7388, IF=8.7, JCR JCR Top 3.4%), pp.(2022.5) (Editor’s choice-Cover paper)
3. Abdulrahman H. Ba-Alawi+ , Jorge Loy-Benitez+ , SangYun Kim, ChangKyoo Yoo*, Missing data imputation and sensor self-validation towards a sustainable operation of wastewater treatment plants via deep variational residual autoencoders, Chemosphere(ISSN: 0045-6535, SCIE, JCR TOP 11%), 288(3), pp.132647 (2022.2)
4. SungKu Heo, Jaerak Ko , SangYoun Kim, Chanhyeok Jeong, Soonho Hwangbo**, ChangKyoo Yoo*, Explainable AI-driven net-zero carbon roadmap for petrochemical industry considering stochastic scenarios of remotely sensed offshore wind energy, Journal of Cleaner Production (ISSN:0959-6526, SCIE, Top 10% journal:Engineering Civil), 379(2), pp.134793 (2022.12)
5. 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:
Name: 정찬혁, JEONG CHAN HYEOK
Positions: Master's Student
Eduation:
- 2017.03 ~ 2023. 02 KyungHee University (BS – Environmental Engineering)
- 2023.03 ~ till date KyungHee University (MSc – Environmental Engineering)
Research Area: 환경시스템공학, 자율운전, Software, Smart Data Analytics, Environmental Informatics, AI-Autonomous operation system, Artificial Intelligence for Environment System, Deep reinforcement learning-based monitoring, control and optimization, QSAR/Risk assessment, Dynamic programming, Iterative PID control, Advanced control
Selected Publications:
INTERNATIONAL JOURNAL (SCI/SCE)
1. SungKu Heo, Jaerak Ko , SangYoun Kim, Chanhyeok Jeong, Soonho Hwangbo**, ChangKyoo Yoo*, Explainable AI-driven net-zero carbon roadmap for petrochemical industry considering stochastic scenarios of remotely sensed offshore wind energy, Journal of Cleaner Production (ISSN:0959-6526, SCIE, Top 10% journal:Engineering Civil), 379(2), pp.134793 (2022.12)
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INTERNATIONAL CONFERENCES
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DOMESTIC JOURNALS
1. 심예림+, 이나희+, 정찬혁, 허성구, 김상윤, 남기전, 유창규*, 첨단 전자산업 폐수처리시설의 Water Digital Twin(I): e-ASM 모델 개발과 Digital Simulation 구현 (Water Digital Twin for high-tech electronics industrial wastewater treatment system (I): e-ASM development and digital simulation implementation, Clean Technology(청정기술) (ISSN:1598-9712, 한국연구재단 등재학술지), (), - (Ack: NRF2021-중견연구) (2022.1)
2. 허성구+, 정찬혁+, 이나희, 심예림, 우태용, 김정인, 유창규*, 첨단 전자산업 폐수처리시설의 Water Digital Twin(II): e-ASM 모델 보정, 수질 예측, 공정 선택과 설계 (Water Digital Twin for high-tech electronics industrial wastewater treatment system (II): e-ASM model calibration, effluent prediction, process selection, and design, Clean Technology(청정기술) (ISSN:1598-9712, 한국연구재단 등재학술지), (), - (Ack: NRF2021-중견연구) (2022.1)
DOMESTIC CONFERENCES
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PATENT APPLICATION (특허출원)
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PATENT REGISTRATION (특허출원)
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PROGRAMS REGISTRATION (프로그램 등록)
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박사 과정 (AI+Environment)
83mhkim@gmail.com
Position: 박사과정, Ph.D. student
Education:
학사 : 경희대학교 환경학 및 환경공학과, 2008.02
석사 : 경희대학교 환경응용과학과, 2010.02
박사: 2020.3 ~ till date. KyungHee University, Environmental Eng., Ph. D. student
Research Area: TBD, 환경시스템, 하수처리장모델링/최적화, 상수관망, GIS
E-mail: 83mhkim@gmail.com
INTERNATIONAL JOURNAL (SCI/SCIE)
Publication list (SCI/SCIE)
1. MinHan Kim, A. Seshagiri Rao, ChangKyoo Yoo, Dual Optimization Strategy for N and P Removal in a Biological Wastewater Treatment Plant, Industrial & Engineering Chemistry Research, 48(13), pp. 6363?6371 (2009.07.01)
2. Min-Han Kim, ChangKyoo Yoo, Multivariate monitoring for time-derivative non-Gaussian batch process, The Korean Journal of Chemical Engineering, 25(5), pp.947-954 (2008.09.30)
3. M.H. Kim, Y.S. Kim, A. A. Prabu and C.K. Yoo, A Systematic Approach of Data-Driven Modeling and Soft Sensing in a Full-scale Plant, Water Science and Technology, 60(2), pp.363-370 (2009.08.01)
4. ChangKyoo Yoo and MinHan Kim, Industrial experience of process identification and set-point decision algorithm in a full-scale treatment plant, J. Environmental Management, 90(8), pp.2823-2830 (2009.11.01)
5. Y.S. Kim, M.H. Kim, C.K. Yoo, A New Statistical Framework for Parameter Subset Selection and Optimal Parameter Estimation in the Activated Sludge Model, Journal of Hazardous Materials (2010.07) (in press)
6. MinHan Kim, YoungSu Kim, JungJin Lim, Jeung-Tae Kim, SuWhan Sung and ChangKyoo Yoo, Data-Driven Prediction Model of Indoor Air Quality in an Underground Space, Korean J. of Chemical Engineering, , 28(1), pp. -, (2011.01.01)
7. Abdulrahman H. Ba-Alawi, SungKu Heo, Hanaa Aamer, Roberto Chang, TaeYong Woo, MinHan Kim, ChangKyoo Yoo*, Development of transparent high-frequency soft sensor of total nitrogen and total phosphorus concentrations in rivers using stacked convolutional auto-encoder and explainable AI, Journal of Water Process Engineering (ISSN: 2214-7144, SCIE, JCR TOP 10%: Water Resources), Elsevier, (), pp. (2023.3)
Domestic Journals
1. 김민한, 유창규, 모델링 기법을 이용한 하폐수처리 공정 설계와 환경성 및 경제성 평가, 화학공학, 46(3), pp.610-618 (2008.06.30)
2. 김용수, 김현주, 이인범, 유창규, 워터핀치기술을 이용한 생태산업단지 내 기업간 용수 재이용망 최적화, 제어×로봇×시스템공학 논문지, 14(11), pp.1165-1173 (2008.11.01)
3. 이원영, 김민한, 김영황, 이인범, 유창규, 가중유출수질지표를 이용한 활성오니공정모델의 민감도 분석과 매개변수 보정, 제어×로봇×시스템공학 논문지, 14(11), pp.1174-1179 (2008.11.01), 제17회 과학기술우수논문상, 과학기술단체총연합회(과총), 인천송도 컨벤시아 (2009.07.07)
Ph.D student
haitra.paula93@khu.ac.kr7. Shahzeb Tariq+, Usman Safder+, Hai Tra Nguyen, Pouya Ifaei, SungKu Heo and ChangKyoo Yoo*, A novel solar assisted multigeneration system devoid of external utilities for drought adaptation considering water-exergy nexus analysis, Applied thermal engineering (ISSN: 1359-4311, SCI, IF=5, Top 10% journal – MECHNICS), Elsevier, 198(11), pp.117500 (2021.11)
8. Usman Safder+, Jorge Loy-Benitez+, Hai Tra Nguyen+, ChangKyoo Yoo*, A hybrid extreme learning machine and deep belief network framework for sludge bulking monitoring in a dynamic wastewater treatment process, Journal of Water Process Engineering (ISSN: 2214-7144, SCIE, JCR TOP 10%: Water Resources), Elsevier, 46(4), pp.102580 (2022.4)
9. Hai Tra Nguyen+, Usman Safder+, Jorge Loy-Benitez+, ChangKyoo Yoo*, Optimal demand side management scheduling-based bidirectional regulation of energy distribution network for multi-residential demand response with self-produced renewable energy, Applied Energy, 322, p.119425.
10. Hai Tra Nguyen+, Usman Safder+, Kim, J., Heo, S. and Yoo, C., 2022. An adaptive safety-risk mitigation plan at process-level for sustainable production in chemical industries: An integrated fuzzy-HAZOP-best-worst approach. Journal of Cleaner Production, 339, p.130780.
11. Usman Safder+, Hai Tra Nguyen+, Loy-Benitez, J. and Yoo, C., 2022. Nationwide policymaking strategies to prevent future electricity crises in developing countries using data-driven forecasting and fuzzy-SWOT analyses. Energy, 259, p.124962.
PhD Student
abdulrahman.baalwi@gmail.comName: Abdulrahman H. Ba Alawi
Combined student of MSc-Ph.D
shahzebtariq@gmail.comPhD student
Tayerani@khu.ac.kr
Name: Mohammad Moosazadeh
INTERNATIONAL JOURNAL (SCI/SCIE)
2. M.Moosazadeh, B.Keshavarzi, C.Ghotbi, “Investigation of the minimum miscibility pressure for injection of two different gasses into two Iranian oil reservoirs; experimental and theory”, The Canadian journal of chemical engineering, 2016
Combined student of MSc-Ph.D
rjavierch@khu.ac.krName: Roberto Chang
Position: Combined student of MSc-Ph.D
Research Interest : AI/IAQ/Prediction Model/Sensor Validation/Reinforcement Learning/GIS/Remote Sensing
email : rjavierch@khu.ac.kr
Education:
- 2012.05 - 2017.10: ESPOL, Ecuador (BSc. Mining Engineering)
- 2021.03 ~ till to date (MSc/PhD Environmental Engineering)
Selected Publications:
INTERNATIONAL JOURNAL (SCI/SCIE)
Name: Ghorbani Vahid
Position: Combined student of MSc-Ph.D
Research Interest: Smart Systems/ Machine Learning/ Digital Twin/ Reinforcement Learning/ Data Science
email: vahidg38@gmail.com
Education:
- 2014.09 – 2020.09: AmirKabir University of Technology (Tehran Polytechnic), (BSc.) Computer Engineering, Iran
(BSc Thesis: Real-Time Car License Plate Recognition in Smart Parking Syste)
- 2022.03 ~ till date: KyungHee University (MS/PhD combined - Integrated Engineering@ Dept of Applied Environment)
Ph.D. Student
isybay@gmail.comResearch Interests: AI + X (Energy, Environment, …), Data Science, Reinforcement Learning, Machine Learning, Deep Learning, Robotic Process Automation, Software Engineering
Education:
BSc Project: Advantages of Project Evaluation Review Technique (PERT) over Critical Path Method (CPM) in Project Planning
MSc Thesis: Pricing and Managing Swing Options in Energy Market
• 2022 – till date: Ph.D. in Integrated Engineering [AI + X], EMSEL, KyungHee University
Combined student of MSc-Ph.D
usamaabro2@gmail.comResearch Interest: Smart Systems/ Machine Learning/ Digital Twin/ Reinforcement Learning/Data Science
Education:
- 2016.02 – 2020.11: (BE) Electronics Engineering IQRA University Karachi, Pakistan
Bachelors Thesis: Foldimate (cloth folding and pressing machine) and AI based humanoid Robot
- 2022.09 ~ till date: KyungHee University (MS/PhD combined - Integrated Engineering @ Dept of Applied Environment)