LAB NOTICE
- [안내서] 반도체 업종을 위한 scope3 배출량 산정 안내서 (환경부, 환경산업기술원)
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2025-03-31
- [VSI, SCS] Cyber-Physical Systems and AI for Sustainable Cities
- [VSI, SCS] Cyber-Physical Systems and AI for Sustainable CitiesSustainable Cities and Society | ScienceDirect.com by Elsevier - Sustainable Cities and Society | ScienceDirect.com by ElsevierCyber-Physical Systems and AI for Sustainable CitiesSubmission deadline: 30 September 2025 Urban areas face growing challenges related to resource management, environmental resilience, and infrastructure efficiency. The integration of Cyber-Physical Systems (CPS) and Artificial Intelligence (AI) represents a transformative approach to addressing these challenges by enabling innovative, sustainable solutions for cities. This special issue focuses on exploring cutting-edge research at the intersection of CPS and AI, emphasizing their role in advancing the operational efficiency, resilience, and Critical Infrastructure Protection (CIP) of urban systems.The main goals are to leverage AI's capabilities alongside CPS—physical systems interconnected with digital components—as a distinct technological approach to enable resilient, efficient, and sustainable cities. The emphasis is on the role of CPS in creating smart, sustainable cities by addressing challenges such as resource management, urban resilience, Critical Infrastructure Protection, and social equity. Unlike recent work focused primarily on AI's role in urban planning and policy development, this issue explores the technical and operational convergence of CPS and AI in sustainable urban systems. Overall, this special issue centers on the interaction between CPS and AI in operational and infrastructure-level solutions for sustainable cities.Cyber-Physical Infrastructure: The design and implementation of CPS to enhance urban energy systems, transportation networks, and water management.AI-Driven CPS for Sustainability: AI algorithms tailored to optimize CPS functions in urban settings.Urban Resilience through CPS: Strategies to improve disaster preparedness, climate resilience, and system robustness using CPS and AI.IoT and Sensor Networks: Role of IoT devices and sensor systems as enabling components of CPS in urban sustainability applications.Integration with Renewable Energy Systems: CPS frameworks for renewable energy optimization in cities.Security and Privacy in AI-enabled CPS: Ensuring data integrity, privacy, and resilience against cyber threats in CPS deployed for sustainable cities.Critical Infrastructure Protection (CIP): Approaches to safeguard essential urban systems, including energy, transportation, and water, against physical and cyber threats using CPS and AI.Case Studies: Practical implementations and real-world applications of CPS and AI in urban systems.Guest editors:Prof. Mostafa KheshtiUniversity of Warwick, Coventry, United KingdomProf. Motahareh PourbehzadiThe University of North Carolina at Greensboro, Greensboro, United StatesProf. Benjamin FungMcGill University, Montréal, CanadaProf. Mohammad Hossein HeydariShiraz University of Technology, Shiraz, IranProf. Shih-Chia S HuangNational Taipei University of Technology, Taipei, TaiwanManuscript submission information:Open for Submission: from 01-Mar-2025 to 30-Sept-2025Submission Site: Editorial Manager®Article Type Name: "VSI: CPS and AI" - please select this item when you submit manuscripts online Cyber-Physical Systems and AI for Sustainable Cities
2025-03-24
- [VSI, SCS] Integrating AI into Sustainable Urban Development: Planning Approaches and Strategies
- Sustainable Cities and Society : JCR TOP 3% journalSustainable Cities and Society | ScienceDirect.com by Elsevier - Sustainable Cities and Society | ScienceDirect.com by ElsevierIntegrating AI into Sustainable Urban Development: Planning Approaches and StrategiesSubmission deadline: 31 October 2025 Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize sustainable development planning and implementation. It plays a pivotal role in the development of sustainable cities by enhancing efficiency, encouraging participation, and promoting social, economic and environmental development. Recognizing the significance of AI in this context, we are pleased to announce a Special Issue on " Integrating AI into Sustainable Urban Development: Planning Approaches and Strategies"This SI aims to bring together researchers, policymakers, and practitioners to explore the role of AI in enhancing sustainable development planning. We seek interdisciplinary contributions that address theoretical, methodological, and practical aspects of integrating AI into sustainable urban development strategies.Themes and Topics:Theoretical Frameworks: How can AI be integrated into existing sustainable development frameworks? What is the implications of the application of AI in planning, policy making , engineering and practice?Data-Driven Decision Making: How does AI support evidence-based decision-making in sustainable development?Modeling and Simulation: How can AI and machine learning models be used to simulate and predict sustainable development outcomes? What are the challenges and opportunities in this area?Policy and Governance: How can AI enhance policy formulation and governance in sustainable development?Technology and Infrastructure: What are the technological requirements and infrastructure needs for implementing AI in sustainable development projects?Case Studies and Real-world Applications: We welcome case studies and empirical research that demonstrate the impact of AI on sustainable development at various scales (local, regional, global).Cross-Sectoral Collaboration: How can AI facilitate collaboration between different sectors (e.g., land use, transportation, environment, education) in sustainable development?Challenges and Limitations: What are the limitations of AI in sustainable development planning? How can these be addressed?Guest editors:Prof. Li TianTsinghua University, Beijing, ChinaProf. Helen BaoAffiliation: University of, Cambridge, United KingdomProf. Ming ZhangThe University of Texas at, Austin, United StatesProf. Zhenjiang ShenKanazawa, Kanazawa, JapanProf. Yong LiTsinghua, Beijing, ChinaManuscript submission information:Open for Submission: from 03-Mar-2025 to 31-Oct-2025Submission Site: Editorial Manager®Article Type Name: "VSI: AI-City Planning & Strategies" - please select this item when you submit manuscripts
2025-03-24
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)
