LAB NOTICE
- [VSI] sustainable-and-innovative-biomass-valorization-pathways-for-high-value-bioproducts
- [VSI] Sustainable and innovative biomass valorization pathways for high-value bioproducts Resources, Conservation and Recycling, IF>10 https://www.sciencedirect.com/special-issue/323853/sustainable-and-innovative-biomass-valorization-pathways-for-high-value-bioproductsSustainable and innovative biomass valorization pathways for high-value bioproductsSubmission deadline: 01 May 2026The sustainable utilization of biomass is the key to propelling global sustainable development, especially in the context of energy transition and climate change mitigation. As the most abundant resource in the world, biomass can provide tremendous opportunities for advancing our industrial systems and the built environment via providing advanced bioenergy products and biomaterials (Zhang et al., 2025). Yet, the potential high-cost and environmental impacts of biomass conversion process, large variations in feedstock characteristics, and potential difficulty in upscaling and commercialization may largely constrain the development of a future sustainable bioeconomy (Singhvi & Gokhale, 2019; Nguyen et al., 2020). These challenges raise several critical research questions: (1) What are the most promising valorization pathways for biomass? (2) How can the sustainability of these pathways be effectively evaluated? (3) What strategies can further enhance their environmental, economic, and social performance? This special issue aims to examine, model, and assess the sustainable pathways of utilizing biomass resources to produce high-value bioproducts that can be produced at a large scale. These high-value bioproducts can include, but are not limited to, advanced biomaterials and bio-based chemicals, bio-based industrial carbon products, and bioenergy products. We expect to see these biomass valorization pathways to show great potential in increasing resource and energy efficiency, mitigating climate change, minimizing waste generation, and reducing environmental pollution. We welcome submissions that apply a wide range of methodological approaches, including but not limited to process design and simulation, life cycle assessment, social life cycle assessment, material flow analysis, techno-economic analysis, system engineering, and artificial intelligence. Interdisciplinary studies that integrate multiple tools to provide holistic insights into the sustainability of biomass valorization pathways are especially encouraged. This special issue aims to bring together novel and impactful contributions that address the pressing challenges in developing a future-oriented, sustainable bioeconomy. Submissions may take the form of original research articles, systematic reviews, or perspective papers. Topics of interest include, but are not limited to: Novel biomaterials and bio-based chemicals from biomass feedstocksAdvanced bio-based industrial carbon products (e.g., biographite, carbon nanomaterials)Emerging bioenergy products for decarbonization and circular bioeconomyComprehensive life cycle assessment, techno-economic analysis of biomass valorization pathwaysSocial life cycle assessment or social analysis to improve the social sustainability of bioproductsProcess design/simulation, system engineering, and optimization to investigate and improve the scalability and sustainability of biomass valorization pathwaysDevelopment and applications of machine learning approaches to improve the sustainability of high-value bioproductsGuest editors: Kai LanDepartment of Forest Biomaterials, North Carolina State University, Raleigh, NC 27695, United States of America Sunkyu ParkDepartment of Forest Biomaterials, North Carolina State University, Raleigh, NC 27695, United States of America Joshua PulsipherDepartment of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada Lei WangSchool of Engineering, Westlake University, Hangzhou, Zhejiang 310030, China Manuscript submission information: A Virtual Special Issue (VSI) is an online-only grouping of Special Issue articles traditionally assigned to a single Special Issue. The articles in a VSI will be assigned a unique identifier and published in a regular journal issue. The unique identifier allows for simultaneously adding the article to a VSI in ScienceDirect.com. Articles grouped together in a VSI retain their original citation details. A VSI speeds up the publication of individual articles as, unlike the publication process for conventional Special Issue articles, a VSI does not need to wait for the final article to be ready before publication. A detailed submission guideline is available here: Guide for authors. All manuscripts and any supplementary material should be submitted through the online editorial system Editorial Manager®. The authors must select the article type of “VSI: Biomass” in the submission process. Important Dates Submission open date: 01 August 2025Full paper submission deadline: 01 May 2026Publication: As soon as accepted (VSI)References: Zhang, J., Gu, J., Shan, R., Yuan, H., & Chen, Y. (2025). Advances in thermochemical valorization of biomass towards carbon neutrality. Resources, Conservation and Recycling, 212, 107905. Singhvi, M. S., & Gokhale, D. V. (2019). Lignocellulosic biomass: hurdles and challenges in its valorization. Applied microbiology and biotechnology, 103(23), 9305-9320. Nguyen, Q. A., Smith, W. A., Wahlen, B. D., & Wendt, L. M. (2020). Total and sustainable utilization of biomass resources: a perspective. Frontiers in Bioengineering and Biotechnology, 8, 546. --------------------------------------------
2025-07-05
- [Admission application][Sep. 2025] KHU Graduate School of MS-Ph.D/Ph.D student (Spring semester, 2026)- for international Students
- [Application schedule for Admission: International Students][Sep 2025] KHU Graduate School of MS-Ph.D/Ph.D student (Spring semester, 2026)Website : http://iadmission.khu.ac.krEnglish version of KHU graduate school application information will be shared soon. ■ Prof. Yoo's Publication list: ChangKyoo Yoo - Google 학술 검색■ Lab website : emsel.khu.ac.kr * KHU graduate homepage (Admission info.): https://gskh.khu.ac.<wbr>kr/index/경희대학교(Kyung Hee Univ.) 국제처 글로벌입학팀 외국인 입학(대학원) Graduate Admission (khu.ac.kr)* Necessary documents download site : 경희대학교(Kyung Hee Univ.) 국제처 글로벌입학팀 외국인 입학(대학원) Graduate Admission (khu.ac.kr)* How to apply : will be opened soon. ■ Scholarship (only Ph.D. students or Integrated MSc-Ph.D.Students)- Tuition waived (or tuition support),- Monthly stipend support- Domestic/International Conference participation- Research incentives *** [Note]Application fee:100$ and Enrollment fee (Entrance Fee:1,000 $) need to be paid by candidate one time■ Any good candidates from Chem. Eng./Env. Eng./Mech. Eng/Civil Eng./Industrial Eng./Electric Eng./Artificial Intelligence/Any Eng. or Computer science/Computer engineering■ Research interests: AI+X(Chemical/<wbr>Environment/Energy/PSE), Autonomous Factory -Reinforcement Learning, Process systems engineering (PSE), Environmental systems engineering (ESE), Energy system engineering(ESE), Hydrogen system engineering(HSE), Water-<wbr>Energy-Carbon-Climate Nexus, Industrial Decarbonization, Health/<wbr>Safety/Environment(HSE), Carbo<wbr>n/GHG/NOx modeling/control/optimization/<wbr>AI-automation for semiconductor/display manufacturing industries, Digital Twin and Water AI design/AI-automation for semiconductor/display wastewater plants, AI data-driven smart soft-sensor for TN/TP, Hydrogen circular economy under demand/supply uncertainties- AI role, Explainable AI for Smart Factory (XAI),Recent topics- AI for Water, AI for Energy, AI for Flow Battery, AI for building, - Multiscale System for Environment/Energy/<wbr><wbr>Process (from Molecule --> Equipment ==> Process -==> System ==> National ==> Global)- AI for Direct Air Capture, AI for CCS/CCUS- LLM application for Environment/Energy/Process- Autonomous/Inverse Design using Generative AI- Predictive TEA/LCA using generative AI- Waste LCA using AI- Green Hydrogen modeling, process, policy, and TEA/LCA 2. Eligibility ■ Admission Quota : Each department and program accepts a limited number of students ※ Departments and programs may also accept no students during a given admission cycle if there are no qualified applicants or other considerations 1. Degree 1) Master’s Degree (or combined Master’s and Ph.D programs): Applicants must have a bachelor’s degree, be in the final year of a BA/BS program, or scheduled to finish a BA/BS program before starting MS-Ph.D.) Applicants for Ph.D programs must have a master’s degree, be in the final year of a MA/MS or equivalent program, program (or scheduled to finish program by Ph.D study. ※ Students who have not graduated at the time of application must submit a certificate of graduation before beginning courses at the graduate school. Failure to do so will result in retraction of the offer of admission. 2. Nationality 1) Applicants who are not Korean citizens, and the parents of applicants who are not also Korean citizens 2) Applicant must have had a minimum of 16 years of education outside of Korea ※ Applicants must satisfy one of the two conditions and provide documentation. Language Proficiency (within the last 2 years, ) ➢ Official English test score TOEFL (PBT 550, CBT 210, iBT 80), IELTS (6.0), TEPS(600), NEW TEPS(326) above (within the last 2 years,) – University’s requirement.➢ English test score can be waived for citizen from English official language or a country from English official language, like USA, Canada, UK, India, Pakistian, Nigeria, , and so on Greetings from Global Admissions, KHU. We are pleased to announce the schedule and online application process for the Fall 2025 Graduate International Student Additional Recruitment. We look forward to your applications. ※ Please note that the additional recruitment is conducted only for selected departments.All document submission standards and evaluation methods follow the 2025 Fall Graduate International Student Recruitment Guidelines.(Please ensure to check the attached file for detailed information on the specifics of each recruitment unit and the evaluation methods.) [Admission Schedule] ProcessDate and DeadlinesOnline ApplicationSep 2025 (Fri) 10:00 ~ Sep 2025 (Fri) 17:00(KST)Submission of DocumentsSep 2025 (Fri) ~ Sep 2025 (Fri) [Postmark Deadline]Admission Interview(Audition)Oct 2025 (Fri)Departments Conducting Remote Interviews: Interview time will be individually notified.Result Announcement 2025 (Thu) 15:00(KST)Registration(Tuition Payment) 2025 (Fri) 10:00(KST) ~ 2025 (Fri) 16:00(KST) 1. Online Application : , 2025 (Fri) 10:00 AM ~ 2025 (Fri) 5:00 PM (KST) 2. Online Application URL :Click Here : WIll be updated..※Applicants must sign up for the website first. 3. Document Submission- Submission Period : 2025 (Mon) ~ 2025 (Fri) [Postmark Deadline]- How to submit : All documents should be submitted to the Global Admissions Team at Global Campus, KHU.- Address : Room 108, Woojungwon, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do, 17104, Korea※ Only documents postmarked by June 20, 2025 (Fri) will be accepted. 4. Contact to : Division of Global Admissions- Tel. : +82-31-201-3961~4
2025-07-03
- [VSI: CPS and AI] Cyber-Physical Systems and AI for Sustainable Cities
- [VSI: CPS and AI] Cyber-Physical Systems and AI for Sustainable CitiesSustainable Cities and Society | ScienceDirect.com by Elsevier - Sustainable Cities and Society | ScienceDirect.com by ElsevierSubmission 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 onlineAll manuscripts will be peer-reviewed. Submissions will be evaluated based on originality, significance, technical quality, and clarity. Once accepted, articles will be posted online immediately and published in a journal regular issue within weeks. Articles will also be simultaneously collected in the online special issue.For any inquiries about the appropriateness of contribution topics, welcome to contact Leading Guest Editor (Dr. Mostafa Kheshti).Guide for Authors will be helpful for your future contributions, read more: SCS - Guide for AuthorsFor more information, please visit our ScienceDirect Page: Sustainable Cities and SocietyKeywords:Cyber-Physical Systems; AI for Urban Sustainability; Critical Infrastructure Protection; Smart Cities Resilience; IoT and Renewable Integration
2025-07-03
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)
