Aims & Scope
Intelligent Engineering Letters (IEL) is an international, peer-reviewed and open access journal devoted to the theory, methods and applications of intelligent engineering. The journal provides a forum for researchers, engineers and practitioners to report original findings that advance the intelligence of engineered systems.
Aims
IEL aims to publish high-quality research that bridges artificial intelligence and engineering practice. We are particularly interested in work that is scientifically sound, reproducible and demonstrably useful — whether it introduces a new method, provides a rigorous evaluation of an existing one, or reports a significant real-world deployment.
Scope
The journal accepts theoretical and applied research across multiple disciplines, covering topics including but not limited to:
- Artificial Intelligence and Machine Learning
- Deep Learning and Neural Networks
- Intelligent Control and Automation
- Robotics and Autonomous Systems
- Computer Vision and Image Processing
- Natural Language Processing
- Smart Manufacturing and Industry 4.0
- Cyber-Physical Systems and the Internet of Things
- Data-Driven Engineering and Knowledge Discovery
- Intelligent Transportation and Smart Cities
- Energy Systems and Smart Grids
- Intelligent Fault Diagnosis and Predictive Maintenance
- Digital Twins and Simulation-Based Engineering
- Human–Machine Interaction and Collaborative Intelligence
- Optimisation, Scheduling and Decision Support
- Trustworthy, Explainable and Responsible AI for Engineering
- Interdisciplinary Applications of Intelligent Methods
Article Types
| Type | Description |
|---|---|
| Original Research | Full-length papers reporting original theoretical or applied contributions, normally with Introduction, Methods, Results and Discussion. |
| Review | Critical and concise syntheses of recent progress in a well-defined area, providing a comprehensive introduction to the state of the art. |
| Short Communication | Compact reports of significant preliminary or incremental results that merit rapid publication. |
Readership
IEL is intended for academic researchers, graduate students, R&D engineers, and technology managers working at the intersection of artificial intelligence and engineering.
