Journal of Artificial Intelligence Systems Engineering

Journal of Artificial Intelligence Systems Engineering is a scholarly platform dedicated to advancing research, innovation, and practical applications in artificial intelligence and intelligent systems engineering. The journal welcomes high-quality original research, review articles, case studies, and technical contributions covering areas such as machine learning, deep learning, natural language processing, computer vision, intelligent automation, robotics, data-driven systems, and AI-enabled engineering solutions.

It aims to provide a multidisciplinary forum for researchers, academicians, engineers, and industry professionals to share emerging methodologies, theoretical developments, computational techniques, and innovative applications of artificial intelligence.

The journal particularly emphasizes the integration of artificial intelligence with systems engineering principles to design, develop, optimize, and evaluate reliable, scalable, and intelligent systems. It encourages research addressing real-world engineering challenges and emerging technologies, including autonomous systems, intelligent control, predictive analytics, optimization, human-AI interaction, and responsible AI.

By promoting rigorous peer-reviewed research and interdisciplinary collaboration, the Journal of Artificial Intelligence Systems Engineering seeks to contribute to the development of next-generation intelligent systems and support the responsible advancement of AI across engineering, scientific, industrial, and societal domains.