About the Journal

The Journal of Intelligent Engineering and Informatics (JIEI) is an international, peer-reviewed scholarly open access journal dedicated to advancing research at the intersection of intelligent computation, engineering systems, and information technologies. The JIEI is published quarterly, with four issues per year (March, June, September, December).

 

JIEI provides a multidisciplinary platform for researchers, academicians, industry professionals, and innovators to communicate original discoveries, critically evaluate emerging technologies, and translate intelligent concepts into practical engineering solutions. The journal welcomes research ranging from theoretical foundations and algorithm development to hardware implementation, experimental validation, and real-world deployment.

Our Mission

JIEI aims to:

• Publish original, methodologically sound, and technically significant research.
• Promote collaboration among engineering, computing, and informatics disciplines.
• Support the responsible development and application of intelligent technologies.
• Encourage reproducible research, transparent reporting, and meaningful experimental validation.
• Connect theoretical innovation with industrial, societal, and sustainability-oriented applications.
• Create an inclusive scholarly environment for established researchers and emerging scholars.

Our Vision

Our vision is to become a trusted international forum for research that shapes the next generation of intelligent engineering systems.

JIEI seeks to advance technologies that are not only innovative but also reliable, interpretable, efficient, secure, and beneficial to society. We encourage research that addresses contemporary engineering challenges while considering practical implementation, environmental sustainability, ethical responsibility, and long-term social impact.

Areas of Interest

The JIEI welcomes high-quality contributions in areas including, but not limited to:

• Artificial intelligence and machine learning
• Computational intelligence and deep learning
• Intelligent engineering systems
• Data science, informatics, and knowledge engineering
• Signal, image, and video processing
• Computer vision and pattern recognition
• Robotics, automation, and autonomous systems
• Control, instrumentation, and intelligent sensing
• Embedded systems, edge intelligence, and the Internet of Things (IoT)
• Cyber-physical systems and digital twins
• Communication systems, networks, and cybersecurity
• VLSI, electronic systems, and intelligent hardware
• Electrical power, renewable energy, and smart grids
• Biomedical engineering and healthcare informatics
• Industrial automation, predictive maintenance, and condition monitoring
• Intelligent transportation and smart infrastructure
• Computational modelling, optimization, and decision-support systems
• Emerging interdisciplinary engineering technologies