LAB NOTICE
- [Roberto Chang-Silva , ESPR, Scopus] Satellite-informed smart sensor placement framework for near-optimal PM2.5 monitorin
- Roberto Chang-Silva, Shahzeb Tariq, SangYoun Kim, Mohammad Moosazadeh, Seonyoung Park & ChangKyoo Yoo*, Satellite-informed smart sensor placement framework for near-optimal PM2.5 monitoring in urban areas, Environmental Science and Pollution Research(Scopus, ISSN:1614-7499), 32(59), pp. 31552–31571 (Ack: 3개)(25년 12월)
2026-01-22
- [축하][졸업생 Jorge Loy박사, 임용] 경동대학교 인공지능학과 조교수 임용(Dr. Jorge Loy, Appointment of Assistant Professor Position in Dept of Artificial Intelligence at Kyungdong University
- Good afternoon and good new.eX-EMSELIAN Dr. Jorge has been appointed as an Assistant Professor in the Department of Artificial Intelligence at Kyungdong University, starting in the Spring semester (March 1st).Congratulations Prof. Jorge for your appointment at Dept. AI, KDU.Great news.연구실석박통합과정 졸업생 Jorge Loy박사가 26년 3월부터 경동대학교 인공지능학과 조교수로 임용되었습니다. 좋은 소식 전달 합니다.--------------------------------------------------
Name: Prof. Jorge Loy 교수Current Position: - (Incoming) Assistant Professor, Dept. Artificial Intelligence, Kyungdong University (조교수, 인공지능학과, 경동대학교)- 2026.03 ~ till dateEmail: jorgeloy@live.com / jloy@espol.edu.ec / jloy@khu.ac.krEducation:- 2010.10 - 2015.10: ESPOL, Ecuador (BSc. Mining Engineering)- 2017.9 ~ 2023.02 KyungHee University, Environmental Engineering, (Ph.D.)-2023. 03 ~ 2026.02, Research Professor, HanYang Univ, Seoul, KoreaResearch Interest : AI/IAQ/Prediction Model/Sensor Validation/Reinforcement Learning/Autonomous Control Selected Publications: 1. Jorge Loy-Benitez+, Qian Li+, Pouya Ifaei, Kijeon Nam, SungKu Heo and ChangKyoo Yoo*, A dynamic gain-scheduled ventilation control system for a subway station based on outdoor air quality conditions, Building and Environment (ISSN: 0360-1323, SCIE, Top 3% journal: Civil Eng.), Elsevier, 144(), pp. 159-170 (2018.10)2. Jorge Loy-Benitez, Paulina Vilela, Qian Li, ChangKyoo Yoo*, Sequential prediction of quantitative health risk assessment for fine particulate matter in an underground facility using deep recurrent neural networks, Ecotoxicology and Environmental Safety (SCI, ISSN: 0147-6513, SCI, Top20%:TOP20% TOXICOLOGY), Elsevier, 169(), pp. 316-324 (2019.3)3. Loy-Benitez, J., Li, Q., Nam, K., & Yoo, C. (2020). Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation. Sustainable Cities and Society, 52, 101847. https://doi.org/10.1016/J.SCS.2019.1018474. Loy-Benitez, J., Heo, S., & Yoo, C. (2020). Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders. Control Engineering Practice, 97. https://doi.org/10.1016/j.conengprac.2020.1043305. Loy-Benitez, J., Heo, S., & Yoo, C. (2020). Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems. Building and Environment, 182, 107135. https://doi.org/https://doi.org/10.1016/j.buildenv.2020.1071356. Loy-Benitez, J., Li, Q., Nam, K. J., Nguyen, H. T., Kim, M. J., Park, D. S., & Yoo, C. K. (2021). Multi-objective optimization of a time-delay compensated ventilation control system in a subway facility – A harmony search strategy. Building and Environment, 190(December 2020), 107543. https://doi.org/10.1016/j.buildenv.2020.1075437. Jorge Loy-Benitez†, Usman Safder†, Hai-Tra Nguyen†, Qian Li, TaeYong Woo, ChangKyoo Yoo*, Techno-economic assessment and smart management of an integrated fuel cell-based energy system with absorption chiller for power, hydrogen, heating, and cooling in an electrified railway network, Energy (ISSN: 0360-5442: SCIE, TOP 5%: Thermodynamics), 233(10), pp.121099 (2021.10).8. Jorge Loy-Benitez+, Shahzeb Tariq+, Hai Tra Nguyen, Usman, KiJeon Nam , ChangKyoo Yoo, Neural circuit policies-based temporal flexible soft-sensor modeling of subway PM2.5 with applications on indoor air quality management, Building and Environment (ISSN: 0360-1323, SCIE, Top 5% journal: Construction & Building), Elsevier, 207(1), pp.108537 (2022.1) https://doi.org/10.1016/j.buildenv.2021.108537 ---------- Forwarded message ---------보낸사람: LOY BENITEZ JORGE RAFAEL Date: 2026년 1월 22일 (목) PM 1:50Subject: Appointed at Kyungdong UniversityTo: 유창규(환경학및환경공학과) <ckyoo@khu.ac.kr></ckyoo@khu.ac.kr>Dear Professor,I hope this email finds you well.I am writing to inform you that I have been appointed as an Assistant Professor in the Department of Artificial Intelligence at Kyungdong University, starting in the Spring semester (March 1st).Thank you very much for your support and consideration throughout the application process. I truly appreciate it.Best regards, Jorge
2026-01-22
- [VSI: MOF_CCST] Metal Organic Frameworks from Molecular Design to Scalable Applications
- [VSI: MOF_CCST, IF>10] Metal Organic Frameworks from Molecular Design to Scalable ApplicationsCarbon Capture Science & TechnologyIF>10https://www.sciencedirect.com/<wbr>journal/carbon-capture-<wbr>science-and-technologyCall for papers25 November 2025https://www.sciencedirect.com/<wbr>special-issue/328064/metal-<wbr>organic-frameworks-from-<wbr>molecular-design-to-scalable-<wbr>applications-advances-in-<wbr>synthesis-processing-and-<wbr>deploymentMetal Organic Frameworks from Molecular Design to Scalable Applications: Advances in Synthesis, Processing, and DeploymentSubmission deadline: 01 September 2026This Special Issue highlights advances in Metal–Organic Frameworks (MOFs) from molecular design to pilot-scale deployment, emphasising their growing role as functional materials for carbon capture, gas separations, purification, and carbon-management technologies.Guest editors:Dr Fatih GulecUniversity of Nottingham, Nottingham, United KingdomFatih.Gulec1@nottingham.ac.uk Prof Edward LesterUniversity of Nottingham, Nottingham, United KingdomEdward.Lester@nottingham.ac.uk<wbr> Dr Orla WilliamsUniversity of Nottingham, Nottingham, United KingdomOrla.Williams@nottingham.ac.uk<wbr> Dr Andrea LaybournUniversity of Leeds, Leeds, United KingdomA.Laybourn@leeds.ac.uk Prof Begum TokayUniversity of NottinghamBegum.Tokay@nottingham.ac.uk Special issue information:Metal Organic Frameworks (MOFs) have emerged as one of the most promising classes of porous materials for carbon capture, gas separation, purification, and integrated carbon-management processes. Their tunable chemistry, high surface area, and modular design have positioned MOFs as key enablers for next-generation CCUS, DAC, gas purification, and process-intensified capture systems. This Special Issue, Metal Organic Frameworks from Molecular Design to Scalable Applications: Advances in Synthesis, Processing, and Deployment, brings together research that spans the full development pathway from fundamental molecular design, self-assembly, and novel synthesis routes to scalable manufacturing, shaping and composite formation, systems modelling, techno-economic assessment, and pilot-scale implementation. Contributions that explore MOFs in applications aligned with CCST’s scope, including CO₂ capture from flue gas, syngas, biogas, and air; MOF-membrane-based separations; gas purification; and CO₂ utilisation are especially encouraged. The issue also seeks work addressing microwave-assisted synthesis, supramolecular framework design, composite and hybrid MOFs, stability and performance under realistic operating conditions, TEA and LCA of MOF technologies, and the integration of MOFs into reactors and process flows relevant to CCUS and carbon-management pathways. By bringing together interdisciplinary studies across chemistry, materials science, chemical engineering, and environmental systems analysis, this Special Issue aims to accelerate the translation of MOF-based technologies from laboratory research to industrially relevant, scalable solutions.Covered topics include, but are not limited to:1- Molecular design, self-assembly, and postsynthetic modification of MOFs2- Lab-scale, scalable, and pilot-scale MOF synthesis and manufacturing3- MOF shaping, pelletisation, film/membrane formation, and composite/hybrid materials4- MOFs for CO₂ capture, DAC, gas purification, separations, and storage5- Stability, durability, and performance assessments under realistic process conditions6- Systems modelling, reactor integration, and process simulation involving MOFs7- Techno-economic analysis (TEA) and life cycle assessment (LCA) of MOF-based processes8- Pilot-scale demonstrations and application-driven evaluation of MOF technologiesManuscript submission information:Final Manuscript Submission Deadline: Sep 01, 2026Manuscripts will be submitted via the journal’s submission platform (Editorial Manager®). Please refer to the Guide for Authors to prepare your manuscript. When submitting your manuscript please select the article type “Call for papers25 November 2025Metal Organic Frameworks from Molecular Design to Scalable Applications: Advances in Synthesis, Processing, and DeploymentSubmission deadline: 01 September 2026 This Special Issue highlights advances in Metal–Organic Frameworks (MOFs) from molecular design to pilot-scale deployment, emphasising their growing role as functional materials for carbon capture, gas separations, purification, and carbon-management technologies.Guest editors:Dr Fatih GulecUniversity of Nottingham, Nottingham, United KingdomFatih.Gulec1@nottingham.ac.uk Prof Edward LesterUniversity of Nottingham, Nottingham, United KingdomEdward.Lester@nottingham.ac.uk<wbr> Dr Orla WilliamsUniversity of Nottingham, Nottingham, United KingdomOrla.Williams@nottingham.ac.uk<wbr> Dr Andrea LaybournUniversity of Leeds, Leeds, United KingdomA.Laybourn@leeds.ac.uk Prof Begum TokayUniversity of NottinghamBegum.Tokay@nottingham.ac.uk Special issue information:Metal Organic Frameworks (MOFs) have emerged as one of the most promising classes of porous materials for carbon capture, gas separation, purification, and integrated carbon-management processes. Their tunable chemistry, high surface area, and modular design have positioned MOFs as key enablers for next-generation CCUS, DAC, gas purification, and process-intensified capture systems. This Special Issue, Metal Organic Frameworks from Molecular Design to Scalable Applications: Advances in Synthesis, Processing, and Deployment, brings together research that spans the full development pathway from fundamental molecular design, self-assembly, and novel synthesis routes to scalable manufacturing, shaping and composite formation, systems modelling, techno-economic assessment, and pilot-scale implementation. Contributions that explore MOFs in applications aligned with CCST’s scope, including CO₂ capture from flue gas, syngas, biogas, and air; MOF-membrane-based separations; gas purification; and CO₂ utilisation are especially encouraged. The issue also seeks work addressing microwave-assisted synthesis, supramolecular framework design, composite and hybrid MOFs, stability and performance under realistic operating conditions, TEA and LCA of MOF technologies, and the integration of MOFs into reactors and process flows relevant to CCUS and carbon-management pathways. By bringing together interdisciplinary studies across chemistry, materials science, chemical engineering, and environmental systems analysis, this Special Issue aims to accelerate the translation of MOF-based technologies from laboratory research to industrially relevant, scalable solutions.Covered topics include, but are not limited to:1- Molecular design, self-assembly, and postsynthetic modification of MOFs2- Lab-scale, scalable, and pilot-scale MOF synthesis and manufacturing3- MOF shaping, pelletisation, film/membrane formation, and composite/hybrid materials4- MOFs for CO₂ capture, DAC, gas purification, separations, and storage5- Stability, durability, and performance assessments under realistic process conditions6- Systems modelling, reactor integration, and process simulation involving MOFs7- Techno-economic analysis (TEA) and life cycle assessment (LCA) of MOF-based processes8- Pilot-scale demonstrations and application-driven evaluation of MOF technologiesManuscript submission information:Final Manuscript Submission Deadline: Sep 01, 2026Manuscripts will be submitted via the journal’s submission platform (Editorial Manager®). Please refer to the Guide for Authors to prepare your manuscript. When submitting your manuscript please select the article type “VSI: MOF_CCST”.Both the Guide for Authors and the submission portal can be found on the Journal Homepage here: Carbon Capture Science & Technology | Journal | ScienceDirect.com by ElsevierKeywords:(Metal–Organic Frameworks) OR (MOFs) OR (Synthesis) OR (Scalable production) OR (CO2 Capture) OR (Decarbonisation) OR (Techno-economic Assessment) OR (Life Cycle Analysis) OR (Pilot-scale Applications”.Both the Guide for Authors and the submission portal can be found on the Journal Homepage here: Carbon Capture Science & Technology | Journal | ScienceDirect.com by ElsevierKeywords:(Metal–Organic Frameworks) OR (MOFs) OR (Synthesis) OR (Scalable production) OR (CO2 Capture) OR (Decarbonisation) OR (Techno-economic Assessment) OR (Life Cycle Analysis) OR (Pilot-scale Applications
2026-01-16
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)
