Vol. 1 No. 3 (2027): Digitized Engineering and Automation
Digitized Engineering and Automation is dedicated to the open dissemination of engineering knowledge, automation technologies, and applied system development in modern digital and industrial environments. This issue publishes technical reports, instructional manuals, implementation guides, software and hardware documentation, applied engineering notes, educational resources, and open-access technical contributions that support the practical advancement of engineering systems and automation technologies.
The issue focuses on the design, operation, integration, and application of engineering systems that combine optical technologies, electronics, mechanical systems, robotics, embedded computing, nanotechnology, and artificial intelligence. Particular emphasis is placed on practical implementations suitable for smart devices, wearable systems, automated platforms, and industrial or laboratory engineering environments.
Submissions are expected to provide clear technical descriptions, system architectures, operational procedures, implementation steps, design methodologies, or instructional guidance that enable engineers, developers, educators, students, and practitioners to understand, apply, and reproduce engineering solutions in real-world contexts.
Key thematic areas include:
-
Optical and Photonic Engineering Systems: optical design principles, laser systems, sensing technologies, beam control, and applied tele-optic engineering
-
Electronics and Embedded Systems: circuit design, microcontrollers, sensor integration, low-power systems, and embedded computing platforms
-
Robotics and Automation Technologies: robotic systems, automated control systems, mobile robotics, and applied machine-assisted operation
-
Mechanical and Micro-Engineering Systems: precision engineering, MEMS technologies, system stability, vibration control, and mechanical design integration
-
Nanotechnology and Material Applications: nanostructured materials, nanoscale sensing systems, and miniaturised engineering components
-
AI-Assisted Engineering Tools: automation workflows, predictive control systems, optimisation tools, and intelligent system configuration
All submissions undergo a structured hybrid review process combining expert human evaluation with AI-assisted assessment to ensure technical accuracy, clarity, consistency, and reproducibility. Manuscripts must include sufficient detail regarding system design, engineering procedures, implementation methods, or operational documentation to support practical validation and use.
Multimedia materials such as engineering tutorials, device operation demonstrations, assembly workflows, simulation outputs, prototype walkthroughs, and instructional videos may be included where they enhance technical understanding and practical application.
As a fully open-access issue, all accepted content is freely available to support global knowledge sharing, technical education, engineering training, and practical innovation in digital engineering and automation systems.