About the Journal

International Journal of Artificial Intelligence and Modern Engineering (IJAIME)

IJAIME is a peer-reviewed, open-access journal dedicated to the advancement of artificial intelligence (AI) applications in modern engineering. It serves as a platform for researchers, academics, and industry professionals to publish high-quality research that bridges AI methodologies with engineering innovations, fostering interdisciplinary collaboration and technological progress.

Key Details:

  • Frequency: Twice a year publication (2 Issues Per Year).
  • Language: English
  • Starting Year: 2025
  • Email: journal@aime.iseme.net

Scope and Focus:

IJAIME covers a wide range of topics at the intersection of artificial intelligence and engineering disciplines, including:

  • Machine learning, deep learning, and neural networks in engineering applications
  • AI-driven optimization and decision-making for engineering systems
  • Robotics, automation, and intelligent control systems
  • Smart materials and AI-enhanced manufacturing processes
  • AI applications in civil, mechanical, electrical, and aerospace engineering
  • Computational intelligence in structural analysis and design
  • AI-driven predictive maintenance and fault detection
  • Human-AI collaboration in engineering solutions
  • Ethics and challenges of AI integration in engineering

Types of Articles Accepted:

  • Original Research Articles: Presenting novel AI methodologies and engineering applications
  • Review Articles: Offering comprehensive surveys of emerging AI trends in engineering
  • Case Studies: Showcasing real-world AI implementations and their impact
  • Technical Notes: Brief reports on significant AI-driven engineering advancements
  • Perspectives and Commentaries: Providing expert opinions on AI's role in modern engineering

Submission Guidelines:

Authors are invited to submit manuscripts through the journal's online submission system, ensuring compliance with formatting and ethical guidelines. All submissions undergo a double-blind peer review process to maintain high academic and technical standards.