Engineering Intelligence Journal (EIJ) is an international, peer-reviewed scholarly journal dedicated to advancing knowledge across Engineering, Management, and Artificial Intelligence / Computer Science. The journal serves as a global platform for high-quality theoretical, methodological, and applied research that addresses contemporary and emerging challenges in engineering systems, organizational decision-making, and intelligent technologies.

EIJ publishes original research articles, comprehensive review papers, and rigorously developed case studies. While the journal strongly encourages interdisciplinary research that integrates engineering, management, and intelligent computational approaches, it also welcomes high-impact contributions within each domain independently. By embracing both disciplinary depth and cross-domain integration, the journal aims to foster innovation, methodological rigor, and practical relevance.

The mission of Engineering Intelligence Journal is to bridge academia and practice by disseminating research that contributes to scientific advancement, industrial innovation, and evidence-based managerial decision-making in an increasingly data-driven and intelligent world.