About the Journal

The International Journal of Artificial Intelligence and Modern Engineering (IJAIME) is a peer-reviewed academic journal that focuses on the latest advancements and innovations in the fields of artificial intelligence (AI) and modern engineering. The journal aims to provide a platform for researchers, practitioners, and industry experts to share their findings, theories, and applications of AI technologies in engineering disciplines. Topics covered include machine learning, deep learning, robotics, automation, AI in manufacturing, data science, and emerging trends in engineering systems. IJAIME strives to contribute to the development and practical implementation of AI solutions, fostering collaboration between academia and industry to drive technological progress in engineering. The journal publishes high-quality original research articles, reviews, and case studies, providing an essential resource for those working at the intersection of AI and engineering.

Announcements

Current Issue

Vol. 1 No. 2 (2026): Ongoing
Published: 2026-07-29

Articles

View All Issues

Basic Information

ISSN

Frequency

Nature

To be updated soon

Biannual

Online

Starting Year

Language

Email

2026

English

journal@aime.iseme.net

Accepted Articles

The Journal accepts the following categories of Articles:

  • Original research
  • Position papers/review papers
  • Short papers (with well-defined ideas, but lacking research results or having preliminary results)
  • Technology Discussion/Overview Papers

Scope of the Journal

The International Journal of Artificial Intelligence and Modern Engineering (IJAIME) welcomes original research articles, review papers, case studies, and technical communications in the interdisciplinary fields of Artificial Intelligence and Engineering. The journal covers, but is not limited to, the following areas:

  • AI in Engineering: Applications of machine learning, deep learning, and neural networks in civil, mechanical, electrical, and aerospace engineering.
  • Robotics and Automation: AI-driven autonomous systems, industrial robotics, and intelligent control systems.
  • Smart Manufacturing: AI-driven optimization in Industry 4.0, predictive maintenance, and digital twins.
  • Computational Intelligence: Evolutionary algorithms, fuzzy logic, and swarm intelligence applied to engineering problems.
  • Cyber-Physical Systems (CPS): AI-enhanced IoT, edge computing, and real-time intelligent decision-making in engineering.
  • AI in Sustainable Development: Renewable energy optimization, smart grids, and AI-driven climate solutions.
  • AI in Biomedical Engineering: AI-assisted diagnostics, medical imaging, and bioinformatics applications.
  • AI for Structural Health Monitoring: Predictive analytics, fault detection, and AI-enhanced monitoring of infrastructure.
  • Human-AI Collaboration in Engineering: Human-centered AI, explainable AI, decision-support systems, and collaborative engineering environments.

Peer Review Process

All submitted papers are subjected to a comprehensive blind review process by at least 2 subject area experts, who judge the paper on its relevance, originality, clarity of presentation, and significance. The review process is expected to take 8-12 weeks, at the end of which the final review decision is communicated to the author. In case of rejection, authors will receive helpful comments to improve the paper for resubmission. The journal may accept revised papers as new submissions, which will go through a new review cycle.