Aims and Scope

Aim of JAES

The journal aims to provide a rigorous, peer-reviewed international platform for researchers, engineers, and innovators working on advanced engineering systems and smart technologies, promoting high-quality original research that pushes the boundaries of engineering design, automation, and intelligent systems. It fosters interdisciplinary collaboration across engineering, computer science, and applied sciences to develop integrated smart solutions, encouraging novel approaches that address real-world challenges—from sustainable infrastructure to intelligent automation and smart devices. The journal is dedicated to disseminating knowledge globally to support both academic advancement and practical implementation of engineering innovations, bridging theoretical research with application-oriented studies to translate scientific ideas into deployable technologies or systems. Upholding openness, transparency, and ethical publication standards, it promotes reproducibility, data sharing, and responsible engineering practices, ultimately contributing to the global engineering community by showcasing cutting-edge work, inspiring future research, and accelerating technological progress.

 

Scope of JAES 

The Journal welcomes submissions in (but not limited to) the following broad subject areas:

  1. Smart infrastructure and intelligent structural systems (smart buildings, smart grids, smart cities)
  2. Advanced control systems and automation (control theory, robotics, industrial automation, adaptive control)
  3. Internet of Things (IoT), sensor networks, embedded systems, and cyber‑physical systems
  4. Artificial intelligence and machine learning applications in engineering systems (predictive maintenance, intelligent design, optimization)
  5. Computational modeling, simulation, and digital twin technologies for engineering systems
  6. Renewable energy systems, smart energy management, and sustainable engineering solutions
  7. Signal processing, communication systems, and intelligent communication networks
  8. Mechatronics, robotics, autonomous systems, and smart manufacturing (Industry 4.0)
  9. Smart materials, advanced materials engineering, nanotechnology, and materials for intelligent systems
  10. Data-driven engineering, big-data analytics, and decision-support systems for engineering applications
  11. Human–machine interfaces, ergonomics, smart sensors/actuators, and wearable or embedded intelligent devices
  12. Cybersecurity, safety, and reliability analysis for smart/automated engineering systems
  13. Smart transportation systems, intelligent mobility, and infrastructure engineering
  14. Environmental engineering integrated with smart technologies (e.g. smart water systems, smart waste management)