Aims and Scope
The aim of this Special Issue is to bring together high-quality research, emerging trends, and advanced methodologies that are shaping the next generation of intelligent applications through Artificial Intelligence. As AI continues to evolve rapidly—from foundation models and deep learning architectures to edge AI, autonomous systems, and intelligent decision frameworks—there is a growing need to explore cutting-edge innovations that push beyond traditional boundaries. This Special Issue seeks to provide a comprehensive platform for researchers, practitioners, and industry experts to exchange insights, showcase breakthroughs, and address challenges associated with designing scalable, secure, ethical, and high-performance AI systems.
This topic is of significant current interest due to the unprecedented acceleration in AI adoption across diverse sectors such as healthcare, cybersecurity, robotics, education, smart cities, agriculture, finance, and sustainable systems. The emergence of generative AI, multimodal learning, large-scale language models, and trustworthy AI frameworks has opened new research frontiers that demand rigorous investigation. Furthermore, industries worldwide are undergoing digital transformation, requiring intelligent, adaptive, and real-time solutions powered by AI. By focusing on next-generation applications, this Special Issue aims to highlight impactful innovations that contribute to scientific advancement and provide societal, environmental, and industrial benefits.
Lead Guest Editor
Hewa Majeed Zangana
Duhok Polytechnic University, Iraq
Research Interests: Computer Vision, Networks, Cybersecurity, Artificial Intelligence,Machine Learning
Guest Editors
Ameer Tamoor Khan
University of Copenhagen, Denmark
Research Interests: Computing, Machine Learning, Robotics, Control theory
Chong Yee Ling
The Education University of Hong Kong, China
Research Interests: Artificial Intelligence for Science and STEAM Education,Unmanned System Applications Deployed for Scientific Discovery
Xiaoyang Guan
Hong Kong Polytechnic University, China
Research Interests: Motion Analytics. Wearable/Body-Sensing Networks, Computing, Sensing, Edge Data, Energy-Harvesting
Relevant topics include, but are not limited to, the following:
Manuscript Submission Information
Submission deadline: August 31 , 2026
Submissions that pass pre-check will be reviewed by at least two reviewers of the specific field.
If you have any queries regarding this special issue or other matters, please feel free to contact the editorial office: landseer.tang@bonviewpress.org
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