As technology advances, our products—such as wireless devices, computers, and tablets—are becoming smarter while simultaneously shrinking in size. This transformation is largely driven by the integration of Artificial Intelligence (AI) and Knowledge Engineering (KE), enabling products to exhibit intelligent features, automated processes, and adaptive behaviors.

Across research communities, ongoing debates emphasize the critical role of AIKE in shaping the future of smart industries. Traditional product development approaches have evolved into knowledge-based engineering, Internet of Things (IoT)-enabled systems, and AI-driven frameworks, unlocking applications in sectors beyond manufacturing and economics, including education, urban planning, governance, healthcare, and business management.

Today, organizations in the U.S. and worldwide are increasingly adopting AI and Knowledge Engineering methodologies, tools, and frameworks to drive strategic innovation, improve collaborative product development, and enhance global competitiveness.

Scope of the Call for Papers

We invite submissions exploring new research and advancements in AI and Knowledge Engineering to optimize competency capture, knowledge-driven automation, and intelligence-based skill application in product development and life-cycle management.

Topics of interest include, but are not limited to:

  • Foundational AIKE Concepts:
    • Knowledge capture, representation, and discovery
    • Knowledge acquisition, intelligence, and management
    • AI-driven knowledge distribution and processing
  • Application Areas:
    • Knowledge-based engineering (KBE) and knowledge-based systems (KBS)
    • Smart processes, products, and artifacts
    • IoT-enabled systems and AI-powered automation
  • Methodologies and Frameworks:
    • Emerging architectures and enabling technologies for AIKE
    • AI-powered infrastructure, IoT advancements, and digital transformation
  • Case Studies and Experimental Research:
    • Applications in industry, healthcare, governance, and education
    • Ethical considerations and future trends in AIKE adoption

We welcome theoretical papers, empirical studies, critical reviews, case studies, and experiential research exploring the state-of-the-art innovations in AI and Knowledge Engineering.

Accepted papers will be featured in special publications, with individual journal issues focusing on distinct theme areas. The journal follows a rigorous peer-review process, with authors receiving decisions within 3 to 6 months.

Submission & Review Process

All submissions to the IJAIKE Inaugural Issue will undergo independent editorial review, with best papers selected based on originality, relevance, long-term reference value, and quality of presentation.

The AI and Knowledge Engineering Journal (IJAIKE) is a multi-disciplinary, fully refereed international journal, dedicated to publishing research that advances the practice and application of AI and Knowledge Engineering across industries.

Editorial Website: https://ijaike.com/submit-your-manuscript.php

Journal Website: http://IJAIKE.com

Send your paper via Email attachments to Managing Editors, Inaugural Issues

Dr. Brian Prasad
Chief Technology Officer (CTO) and Director.
 Dr. K. Vijayakumar
Professor and Head, Department of Information Technology,
Knowledge Solution, Inc St. Joseph’s Institute of Technology
Redondo Beach, California, USA OMR, Chennai, India.
Email: JournalAIKE@gmail.com Or PrasadBiren@gmail.com Email: vijay@stjosephstechnology.ac.in