Emerging Technologies and Intelligent Systems for Sustainable Development
A special issue of Technologies (ISSN 2227-7080). This special issue belongs to the section "Information and Communication Technologies".
Deadline for manuscript submissions: 15 February 2026 | Viewed by 20
Special Issue Editors
Interests: AI; software engineering; computer communications (networks); big data analysis; data mining
Special Issues, Collections and Topics in MDPI journals
Interests: information system; IT management; information security management; research methodology; blockchain technology; cyber security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of digital technologies is transforming the way we approach sustainability across various sectors. This Special Issue, “Emerging Technologies and Intelligent Systems for Sustainable Development”, aims to explore the integration of cutting-edge innovations—such as artificial intelligence (AI), the Internet of Things (IoT), blockchain, robotics, and edge computing—in designing intelligent, adaptive, and sustainable systems.
The objective is to gather high-quality research and practical insights on how these technologies can be harnessed to address critical global challenges, including climate change, resource management, smart cities, green energy, precision agriculture, healthcare, and more. Emphasis will be placed on intelligent systems that improve efficiency, reduce environmental impact, and support data-driven decision-making for long-term sustainability.
We invite original research articles, case studies, and reviews that contribute to the development, deployment, and evaluation of intelligent and sustainable solutions. Interdisciplinary contributions that connect engineering, computer science, and sustainability science are especially welcome.
This Special Issue provides a platform for academics, industry professionals, and policymakers to present novel approaches and discuss future directions at the intersection of emerging technologies and sustainable development.
Dr. Yousef Farhaoui
Dr. Hamed Taherdoost
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Technologies is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence (AI)
- Internet of Things (IoT)
- intelligent systems
- smart cities
- sustainable development
- green computing
- edge and fog computing
- machine learning
- blockchain for sustainability
- cyber–physical systems
- renewable energy systems
- digital twins
- smart agriculture
- environmental monitoring
- data-driven decision-making
- energy efficiency
- predictive analytics
- sustainable infrastructure
- autonomous systems
- human-centered AI
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