The Engineering Intelligence Journal (EIJ) is a multidisciplinary, peer-reviewed journal dedicated to advancing research at the intersection of engineering and intelligent systems. EIJ welcomes submissions of original research papers, review articles, case reports, and letters to the editor that demonstrate clear scientific significance, novelty, and high-quality organization. The journal prioritizes contributions in fields such as artificial intelligence applied to engineering, intelligent systems, data-driven engineering solutions, and related multidisciplinary topics. Submitted manuscripts must be original, unpublished, and not under consideration elsewhere.

Scope:

The journal welcomes original research articles, review papers, and case studies covering topics including, but not limited to:

Industrial Engineering:

• Operation Research and Optimization
• Supply Chain Management
• System Dynamics
• Production Planning and Inventory Control
• Smart Manufacturing
• Quality Control

Computer and Communication Science:

• Software Engineering
• AI-Driven Software Engineering
• Quantum Software Engineering
• Low-Code/No-Code (LCNC) Platforms
• Hardware Engineering
• Quantum Hardware
• Bio-Inspired & Approximate Computing
• Information Technology Engineering
• Next-Generation Networks
• Cybersecurity
• Future of E-Commerce & Digital Business
• Cloud Continuum & Distributed Computing
• Resilient & Self-Healing IT Infrastructures
• Artificial Intelligence
• Generative AI
• Foundation Models & Large Language Models (LLMs)
• Explainable, Trustworthy & Ethical AI (XAI)
• Reinforcement Learning
• Energy-Efficient Computing
• Approximation and Online Algorithms
• 5G/6G Networks & Beyond
• Edge/Fog Computing
• Internet of Things, Internet of vehicles
• Software Defined Network (SDN), Network Function Virtualization (NFV)
• Blockchain

Management Science:

• Managerial Decision-Making
• Decision Support Systems (DSS)
• Data-Driven and Intelligent Management
• Business Intelligence and Analytics
• Applications of AI in Management
• Human Resource Management
• Organizational Behavior and Emotional Intelligence
• Marketing and Consumer Analytics
• Digital Transformation and Innovation Management
• Industry 4.0 & Industry 5.0
• Human-Centered and Sustainable Management

The journal’s scope is not restricted to the topics outlined above. High-quality submissions addressing novel, emerging, and interdisciplinary research themes within or at the intersection of Computer Science, Industrial Engineering, and Management are strongly encouraged and will be considered for publication.