International Journal of Artificial Intelligence and Modern Engineering

Basic Information

Accepted Articles

The Journal accepts the following categories of Articles:

• Original research
• Position papers/review papers
• Short papers (with well-defined ideas, but lacking research results or having preliminary results)
• Technology Discussion/Overview Papers

Scope of the Journal

The International Journal of Artificial Intelligence and Modern Engineering (IJAIME) is a peer-reviewed international journal dedicated to publishing original research articles, review papers, case studies, and technical contributions in artificial intelligence, computer science, information technology, modern engineering, and emerging technologies. The journal encourages theoretical, experimental, computational, and application-oriented research that advances scientific knowledge, engineering practices, and technological innovation across the following subject areas.

1. Artificial Intelligence and Intelligent Systems

• Artificial Intelligence and Machine Learning
• Deep Learning and Neural Networks
• Generative Artificial Intelligence (Generative AI)
• Computer Vision
• Natural Language Processing (NLP)
• Expert Systems and Intelligent Decision Support
• Explainable AI and Intelligent Systems

2. Computer Science and Information Technology

• Software Engineering and Software Systems
• Computer Science and Information Technology
• Data Science and Big Data Analytics
• Cloud Computing and Distributed Systems
• Cybersecurity and Information Security
• Blockchain Technology
• Database Systems and Data Management

3. Electrical and Electronics Engineering

• Power Systems and Smart Grids
• Embedded Systems and Microelectronics
• VLSI Design
• Signal Processing
• Communication Systems
• Renewable Energy Systems
• Control Systems and Electronic Instrumentation

4. Mechanical and Industrial Engineering

• Mechanical and Industrial Engineering
• Industrial Automation and Mechatronics
• Computer-Aided Design and Manufacturing (CAD/CAM)
• Additive Manufacturing
• Smart Manufacturing and Industry 4.0
• Computational Mechanics and Engineering Simulation
• Predictive Maintenance and Industrial Optimization

5. Civil and Structural Engineering

• Structural Analysis and Structural Design
• Smart Cities and Urban Infrastructure
• Construction Technology and Management
• Sustainable Infrastructure Development
• Geotechnical Engineering
• AI-Based Structural Health Monitoring
• Intelligent Transportation and Infrastructure Systems

6. Robotics, Automation and Control Engineering

• Autonomous Systems
• Industrial Robotics
• Human-Robot Interaction
• Intelligent Control Systems
• Drone Technology and Unmanned Aerial Vehicles (UAVs)
• Autonomous Vehicles
• Robotic Perception, Planning, and Navigation

7. Smart Technologies and the Internet of Things (IoT)

• Internet of Things (IoT) and Industrial IoT (IIoT)
• Smart Sensors and Intelligent Embedded Devices
• Edge Computing and Real-Time Processing
• Smart Homes and Smart Cities
• Connected Devices and Intelligent Monitoring Systems
• Cyber-Physical Systems and Networked Control

8. Computational Intelligence and Cyber-Physical Systems

• Computational Intelligence and Intelligent Algorithms
• Fuzzy Logic and Fuzzy Systems
• Evolutionary Computing and Metaheuristic Algorithms
• Swarm Intelligence
• Hybrid Intelligent Systems
• Cyber-Physical Systems (CPS)
• Real-Time Monitoring, Simulation, and Intelligent Control

9. Sustainable Engineering and Energy Technologies

• Renewable and Clean Energy Technologies
• Energy Efficiency and Optimization
• Smart Grids and Intelligent Energy Management
• Sustainable Engineering and Green Technologies
• Environmental Monitoring and Climate Technologies
• AI-Based Energy Forecasting and Resource Management
• Sustainable Infrastructure and Industrial Practices

10. Modern Engineering and Engineering Applications

• Modern Engineering Methods and Applications
• AI-Driven Engineering Design and Optimization
• Engineering Modelling, Simulation, and Analysis
• Smart Materials and Advanced Manufacturing
• Engineering Systems Integration
• Emerging Technologies in Engineering Practice

11. Interdisciplinary Applications of AI

• Healthcare: Medical Imaging, AI-Assisted Diagnosis, Bioinformatics, and Healthcare Analytics
• Education: Intelligent Tutoring Systems, Educational Data Analytics, and AI-Assisted Learning
• Industry: Industrial Intelligence, Process Optimization, Predictive Maintenance, and Quality Control
• Business: Business Analytics, Decision Support Systems, Intelligent Forecasting, and Process Automation
• Agriculture: Precision Agriculture, Smart Farming, and AI-Based Crop Monitoring
• Transportation: Intelligent Transportation Systems and Mobility Optimization
• Other Applied Disciplines: Interdisciplinary AI applications addressing scientific, technological, and societal challenges

The journal welcomes interdisciplinary contributions that integrate artificial intelligence, machine learning, computer science, data science, engineering, and emerging technologies to address real-world challenges. Submissions should demonstrate originality, sound research methodology, technical relevance, and a meaningful contribution to the relevant field. The subject areas listed above are indicative and are not intended to limit the scope of relevant research.

Peer Review Process

All submitted papers are subjected to a comprehensive blind review process by at least 2 subject area experts, who judge the paper on its relevance, originality, clarity of presentation, and significance. The review process is expected to take 8-12 weeks, at the end of which the final review decision is communicated to the author. In case of rejection, authors will receive helpful comments to improve the paper for resubmission. The journal may accept revised papers as new submissions, which will go through a new review cycle.