Researchers in the field of Artificial Intelligence Engineering:
The International Journal of Artificial Intelligence Engineering and Transformation (IJAIET) covers diverse and interdisciplinary areas of AI, including machine learning, deep learning, robotics, natural language processing, computer vision, neural networks, expert systems, and AI-driven automation. The journal aims to advance innovative engineering applications by integrating artificial intelligence, data science, and digital transformation practices.
With increasing global focus on ethical AI, sustainability, and intelligent systems, current research trends emphasize responsible AI development, human-AI collaboration, edge computing, AI in IoT, cybersecurity, healthcare, education, smart cities, and industrial transformation.
The journal offers authors the flexibility of both open access and subscription modes of publication. It accepts a wide variety of manuscript types, including original research articles, review papers, case studies, short communications, technical notes, opinions, letters to the editor, book reviews, mini-reviews, commentaries, and more.
The International Journal of Artificial Intelligence Engineering and Transformation seeks to bring together researchers, engineers, technologists, policymakers, and industry professionals to explore and disseminate transformative AI solutions. The journal strongly promotes interdisciplinary collaboration, ethical innovation, and the practical deployment of AI technologies to address global engineering challenges.
All submitted manuscripts undergo a rigorous peer-review process conducted by domain experts and members of the honorary editorial board to ensure high standards of quality and relevance.
Prospective authors are invited to submit their manuscripts to: aiengineering.research@gmail.com
Please refer to the "Instructions to Authors" section for detailed submission guidelines.