(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
Edge Intelligence and AI-Enabled Computing Systems
Submission Deadline: April 30, 2027 (Open) Submit Now
Guest Editor
Qasem Abu Al-Haija, PhD
Assistant Professor, Cybersecurity Department, Faculty of Computer & Information Technology, Jordan University of Science and Technology, Irbid, Jordan
Research Interests: Cybersecurity and cryptography; artificial intelligence (AI) and machine learning; Internet of Things (IoT) and cyber-physical systems (CPS); intrusion detection systems (IDS) and network security; malware analysis and reverse software engineering
About This Topic
This Special Issue explores recent advances in edge intelligence and AI-enabled computing systems, with a particular emphasis on cybersecurity, privacy, and trust in distributed environments. It aims to highlight innovative architectures, algorithms, and frameworks that enable secure, efficient, and scalable intelligence at the network edge. Key challenges include real-time threat detection, adversarial robustness, secure data sharing, privacy-preserving learning, and resilience against cyberattacks in resource-constrained systems. Contributions are encouraged from both theoretical and applied perspectives, covering domains such as IoT, smart cities, healthcare, industrial systems, and critical infrastructures.
Keywords
Edge intelligence; edge computing; artificial intelligence; cybersecurity; AI security; edge security; federated learning; privacy-preserving learning; adversarial machine learning; internet of things (IoT) security; intrusion detection systems; secure distributed systems; trustworthy AI; real-time threat detection; energy-efficient secure computing
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.
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