Aim & Scope

The Journal of Artificial Intelligence and Data Analytics (JAIDA) is dedicated to advancing research, innovation, and knowledge dissemination in the rapidly evolving fields of artificial intelligence, data science, and advanced analytics. The journal aims to provide an international platform for researchers, academicians, data scientists, industry professionals, and technology innovators to publish high-quality scholarly work that contributes to the development of intelligent systems and data-driven solutions.

The journal seeks to promote cutting-edge research that enhances the understanding, design, implementation, and application of artificial intelligence techniques and analytical methodologies across diverse domains. It encourages both theoretical and applied studies that address contemporary challenges and emerging opportunities in intelligent computing and data-centric technologies.

The scope of the journal encompasses a broad range of topics, including but not limited to:

  • Artificial Intelligence and Intelligent Systems

  • Machine Learning and Deep Learning

  • Generative Artificial Intelligence and Foundation Models

  • Natural Language Processing and Text Analytics

  • Computer Vision and Image Processing

  • Data Science and Predictive Analytics

  • Big Data Analytics and Data Engineering

  • Data Mining and Knowledge Discovery

  • Business Intelligence and Decision Support Systems

  • Statistical Modeling and Computational Statistics

  • Cloud Computing and Distributed Data Processing

  • Computational Intelligence and Soft Computing

  • Reinforcement Learning and Autonomous Systems

  • Explainable Artificial Intelligence (XAI)

  • Internet of Things (IoT) Analytics and Smart Systems

  • Cybersecurity Analytics and Intelligent Security Systems

  • Healthcare Analytics and Medical AI Applications

  • Financial Analytics and FinTech Innovations

  • Social Network Analysis and Human-Centered AI

  • AI Applications in Science, Engineering, Education, and Industry

The journal particularly encourages interdisciplinary research that integrates artificial intelligence and data analytics with emerging fields such as smart cities, digital transformation, robotics, sustainable development, computational biology, and intelligent decision-making systems.

By providing unrestricted open access to all published content, the journal supports the rapid dissemination of scientific knowledge, encourages international collaboration, and promotes the practical application of research findings across academic, industrial, and societal contexts.

Through its commitment to scientific rigor, innovation, ethical research practices, and interdisciplinary collaboration, the Journal of Artificial Intelligence and Data Analytics aims to contribute significantly to the advancement of AI-driven technologies and data-centric research worldwide.