Aim and Scope

The Journal of Information Science & Automation Systems (JISAS) is an international, open-access, peer-reviewed scientific journal that publishes high-quality original research and scholarly contributions in the fields of information science, intelligent systems, and automation technologies. The journal follows a rigorous double-blind peer-review process to ensure originality, technical soundness, and academic excellence.

JISAS aims to disseminate cutting-edge theoretical and applied research that advances the design, development, and real-world implementation of intelligent and automated systems. The journal publishes original research articles, comprehensive review papers, and state-of-the-art studies that address emerging challenges and innovations across computing, automation, and intelligent technologies. Interdisciplinary research integrating information science, artificial intelligence, and automation is strongly encouraged.

The journal places special emphasis on artificial intelligence, machine learning, data-driven intelligence, and computational techniques applied to information processing, automation, decision-making systems, and modern digital technologies. JISAS serves as a global platform for researchers, academicians, and industry professionals to present innovative solutions to complex scientific and engineering problems.

Theoretical and experimental research findings are accepted in the following broad areas, but are not limited to:

  • Information Science and Knowledge Management

  • Artificial Intelligence and Machine Learning

  • Deep Learning and Neural Networks

  • Data Science, Big Data Analytics, and Data Engineering

  • Automation Systems and Intelligent Control

  • Robotics and Autonomous Systems

  • Internet of Things (IoT) and Industrial IoT (IIoT)

  • Cybersecurity, Cryptography, and Information Assurance

  • Cloud Computing, Edge Computing, and Distributed Systems

  • Software Engineering and Intelligent Software Systems

  • Computer Vision, Image Processing, and Pattern Recognition

  • Natural Language Processing and Information Retrieval

  • Human–Computer Interaction and Intelligent Interfaces

  • Smart Systems, Smart Cities, and Digital Transformation

  • Embedded Systems and Real-Time Automation

  • Decision Support Systems and Expert Systems