About the Journal

International Journal of Artificial Intelligence and Modern Engineering (IJAIME) Cover

International Journal of Artificial Intelligence and Modern Engineering (IJAIME)

The International Journal of Artificial Intelligence and Modern Engineering (IJAIME) is a peer-reviewed academic journal that publishes original research articles, review papers, case studies, and technical contributions in Artificial Intelligence, Computer Science, Information Technology, and modern engineering disciplines. The journal provides a platform for researchers, academicians, engineers, and industry professionals to share innovative research and contribute to scientific advancement and technological development.

IJAIME is a biannual, peer-reviewed international journal published by Academia Research Lab . It promotes high-quality research, interdisciplinary collaboration, and technological innovation across artificial intelligence, computing, engineering, and emerging technology domains.

The journal encourages theoretical developments, experimental investigations, practical implementations, and interdisciplinary applications. It welcomes contributions that advance intelligent systems, computational methods, engineering design, automation, sustainable technologies, and solutions to real-world scientific, industrial, and societal challenges.

IJAIME follows the IMRAD format (Introduction, Methodology, Results, and Discussion), where appropriate to the article type, and follows APA 7th Edition referencing guidelines. The journal emphasizes research quality, originality, methodological rigor, academic integrity, and scholarly contribution.

Key Details:

  • Frequency: Biannual (2 Issues Per Year)
  • Language: English
  • Starting Year: 2026
  • Publisher: Academia Research Lab
  • Email: journal@aime.iseme.net
  • Review Process: Peer Reviewed
  • Article Structure: IMRAD Format, where applicable
  • Referencing Style: APA 7th Edition

Scope and Focus:

The International Journal of Artificial Intelligence and Modern Engineering (IJAIME) covers a broad spectrum of research in artificial intelligence and machine learning, computer science and data science, electrical and electronics engineering, mechanical and industrial engineering, civil and structural engineering, robotics, automation, computational intelligence, smart technologies, sustainable engineering, and interdisciplinary applications of AI.

The journal welcomes theoretical, experimental, computational, and application-oriented research that contributes to the advancement of intelligent technologies, engineering practices, scientific discovery, and interdisciplinary innovation.

Subject Areas Covered:

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

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

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 subject areas listed above are indicative and not exhaustive. IJAIME welcomes interdisciplinary contributions that integrate artificial intelligence, machine learning, computer science, data science, engineering, and emerging technologies. All submissions should demonstrate originality, sound research methodology, technical relevance, and a meaningful contribution to their respective fields.

Types of Articles Accepted:

  • Original Research Articles: Presenting novel theories, methodologies, experimental findings, and practical applications.
  • Review Articles: Comprehensive evaluations of existing research, recent developments, and future research directions.
  • Case Studies: Investigations of real-world implementations, engineering practices, and practical technological applications.
  • Technical Notes: Concise contributions describing innovative techniques, methods, tools, and technical developments.
  • Perspectives and Commentaries: Expert viewpoints on emerging technologies, research trends, and challenges in the journal's subject areas.

Submission Guidelines:

Authors are invited to submit manuscripts through the journal's online submission system. Submissions should fall within the journal's stated scope and comply with its manuscript formatting, referencing, ethical, and publication requirements.

All submissions are subject to editorial assessment and peer review, as applicable, to evaluate their originality, scientific quality, methodological soundness, relevance, and contribution to the field. Authors should ensure that manuscripts are original, properly referenced, and prepared in accordance with the journal's publication policies.

For submission-related queries, authors may contact the editorial team at journal@aime.iseme.net.