About the Journal

International Journal of AI, Electrical, Civil and Mechanical Engineering (IJAIECME) is a peer-reviewed, open-access, multidisciplinary scholarly journal dedicated to advancing research and innovation across the domains of Artificial Intelligence (AI), Electrical Engineering, Civil Engineering, and Mechanical Engineering. The journal serves as a platform for researchers, academicians, industry professionals, and practitioners to publish high-quality original research articles, review papers, case studies, and technical notes that contribute to the development of cutting-edge technologies and sustainable engineering practices.

IJAIECME aims to bridge the gap between theory and application by encouraging interdisciplinary collaboration and highlighting the role of AI-driven solutions in transforming traditional engineering fields. With a strong emphasis on innovation, sustainability, and emerging trends, the journal welcomes contributions that address both fundamental concepts and real-world engineering challenges.

Key Areas of Publication

The scope of the journal includes, but is not limited to:

  • Artificial Intelligence & Data Science in Engineering – Machine learning, deep learning, IoT, automation, optimization, robotics, and intelligent systems.

  • Electrical Engineering – Power systems, renewable energy, smart grids, control systems, VLSI design, embedded systems, and communication technologies.

  • Civil Engineering – Structural engineering, construction management, transportation systems, geotechnical studies, water resources, sustainable infrastructure, and smart cities.

  • Mechanical Engineering – Thermal engineering, design and manufacturing, materials science, mechatronics, fluid dynamics, and energy-efficient systems.

Mission and Vision

  • Mission: To disseminate innovative research and practical advancements that drive technological growth and societal progress.

  • Vision: To become a globally recognized journal fostering excellence in multidisciplinary engineering research with a special focus on the integration of AI in engineering solutions.

Publication Features

  • Peer-reviewed scholarly articles ensuring quality and authenticity.

  • Open access for global knowledge sharing.

  • Multidisciplinary coverage connecting AI with core engineering fields.

  • Opportunities for researchers to showcase cutting-edge innovations and interdisciplinary findings.