Journal of AI-Driven Engineering Innovation and Applications (JADEIA) is an international, peer-reviewed, open-access academic journal published quarterly. It focuses on the fast-growing cross-cutting field of artificial intelligence empowering engineering innovation and real-world applications. Committed to upholding the strictest academic standards, all submissions undergo a rigorous double-blind peer review process to ensure the originality, technical soundness, and practical value of every published work. We prioritize high-quality, original research that bridges AI technological breakthroughs to tangible problem-solving across engineering disciplines, serving a global community of researchers, engineers, industrial practitioners and innovators.

JADEIA accepts a comprehensive range of manuscript types to fully disseminate frontier advances in the field, including but not limited to original research articles, review articles, editorials, case reports, technical notes, perspectives, short communications, and methodology papers. The journal maintains a well-defined, moderately broad scope of AI-driven engineering research, with core topics including but not limited to:

1. AI-Driven Engineering Design and Intelligent Manufacturing
2. Intelligent Algorithms and Engineering System Optimization
3. AI-Enabled Advanced Materials R&D and Engineering Applications
4. Intelligent Sensing, Measurement and Automation Engineering
5. Artificial Intelligence Innovation in Energy and Power Engineering
6. Intelligent Technologies for Civil, Infrastructure and Transportation Engineering
7. AI Innovation in Biomedical Engineering and Medical Equipment
8. Intelligent Technologies for Environmental Engineering and Sustainable Development
9. AI Empowerment for Aerospace and High-End Equipment Engineering
10. Industrial Digitalization, Digital Twin and Intelligent Systems
11. Engineering Safety, Risk Management and Intelligent Early Warning
12. AI-Driven Process Innovation and Reaction Optimization in Engineering