(ISSN 3067-4573)
Recent Progress in Science and Engineering (ISSN 3067-4573) is an international peer-reviewed Open-Access journal published quarterly online by LIDSEN Publishing Inc. It aims to provide an advanced knowledge platform for Science and Engineering researchers, to share the recent advances on research, innovations and development in their field.
The journal covers a wide range of subfields of Science and Engineering, including but not limited to Chemistry, Physics, Biology, Geography, Earth Science, Pharmaceutical Science, Environmental Science, Mathematical and Statistical Science, Humanity and Social Science; Civil, Chemical, Electrical, Mechanical, Computer, Biological, Agricultural, Aerospace, Systems Engineering. Articles of interdisciplinary nature are also particularly welcome.
The journal publishes all types of articles in English. There is no restriction on the length of the papers. We encourage authors to be concise but present their results in as much detail as necessary.
Special Issue
AI and Digitalization in Energy and Environmental Management
Submission Deadline: December 15, 2025 (Open) Submit Now
Guest Editor
Kuok Ho Daniel Tang, PhD
Professor, Department of Environmental Science, The University of Arizona (UA), Tucson, Arizona, USA
Research Interests: Climate change; occupational safety and health; environmental impact assessment; phytoremediation; microplastics
About This Topic
The swift progress in artificial intelligence (AI) and digital technologies is reshaping energy and environmental management, presenting groundbreaking solutions to some of the globe’s most urgent issues. This special issue highlights the convergence of AI, big data, and digitalization in energy systems and environmental conservation, stressing their importance in enhancing sustainability, resource efficiency, and environmental protection monitoring. AI-driven technologies, such as machine learning, predictive analytics, and digital twin models, have demonstrated their potential in optimizing energy consumption, forecasting renewable energy production, and managing environmental risks. Digitalization offers new pathways for real-time monitoring and managing air quality, water resources, and waste. These enable policymakers and industries to make data-supported decisions.
This special issue invites contributions addressing a wide range of topics, including but not limited to smart energy systems, renewable energy integration and forecasting, energy efficiency and optimization, AI-based pollution control, environmental data analytics, digital solutions for sustainable development, and digitalization for environmental monitoring and protection. Research papers, case studies, and reviews exploring the intersection of AI and digitalization in energy and environmental fields are particularly encouraged. By bringing together cutting-edge research, this special issue aims to highlight the critical role of AI and digitalization in advancing sustainable energy systems and enhancing environmental management practices globally.
Keywords
Artificial intelligence; analytics; digital technologies; digitalization; energy management; environmental protection
Manuscript Submission Information
Manuscripts should be submitted through the LIDSEN Submission System. Detailed information on manuscript preparation and submission is available in the Instructions for Authors. All submitted articles will be thoroughly refereed through a single-blind peer-review process and will be processed following the Editorial Process and Quality Control policy. Upon acceptance, the article will be immediately published in a regular issue of the journal and will be listed together on the special issue website, with a label that the article belongs to the Special Issue. LIDSEN distributes articles under the Creative Commons Attribution (CC BY 4.0) License in an open-access model. The authors own the copyright to the article, and the article can be free to access, distribute, and reuse provided that the original work is correctly cited.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Research articles and review articles are highly invited. Authors are encouraged to send the tentative title and abstract of the planned paper to the Editorial Office (rpse@lidsen.com) for record. If you have any questions, please do not hesitate to contact the Editorial Office.
Welcome your submission!
Publication
The Role of Artificial Intelligence in Microplastic Pollution Studies and ManagementAbstract Artificial intelligence (AI) is reshaping microplastic research by enabling faster, more accurate, and scalable detection, characterization, and modeling. Deep learning automates the identification and classification of microplastics from microscopy images, while machine learning accelerates the recognition of polymers from Raman and infrared [...] |
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