Applied Artificial Intelligence and Engineering Journal (AEIJ) is an international, peer-reviewed academic journal that focuses on the advancement and application of artificial intelligence techniques within various engineering disciplines. The journal aims to provide a high-quality platform for researchers, scholars, and industry professionals to publish innovative research that integrates intelligent systems with real-world engineering problems.

AEIJ welcomes original research articles, comprehensive reviews, and technical papers in areas such as machine learning, deep learning, computer vision, natural language processing, robotics, intelligent control systems, and data-driven modeling. The journal emphasizes interdisciplinary contributions that apply AI methods to fields including electrical engineering, mechanical engineering, civil engineering, agricultural engineering, and industrial engineering.

In addition to theoretical developments, AEIJ prioritizes studies that demonstrate practical implementation, experimental validation, and performance evaluation in real-world scenarios. Emerging topics such as explainable artificial intelligence (XAI), Internet of Things (IoT), smart systems, edge computing, and sustainable engineering solutions are strongly encouraged.

Through rigorous peer review and a commitment to academic excellence, AEIJ aspires to become a leading global reference in the field of applied artificial intelligence, fostering collaboration between academia and industry while supporting technological innovation for societal impact.