Focus and Scope

The Journal of Advanced Information Systems and Engineering (JAISEN) publishes cutting-edge research at the intersection of information systems, engineering, and emerging technologies. Our scope includes, but is not limited to:

  1. Artificial Intelligence and Data Science
  • AI-driven information systems: Machine learning, deep learning, and generative AI for system optimization.
  • Data science applications: Predictive modeling, statistical analysis, and AI-powered analytics in information systems.
  • Natural language processing (NLP) and computer vision for intelligent data interpretation.
  1. Intelligent and Innovative Information Systems
  • AI-based system development and deployment.
  • IoT-integrated systems for smart data management.
  • Software engineering for autonomous and adaptive systems.
  1. Information Systems Architecture and Engineering
  • Cloud/edge computing architectures for scalable AI and data processing.
  • Frameworks for AI-native system design.
  1. Data Security and Privacy
  • AI-enhanced cybersecurity (e.g., anomaly detection using ML).
  • Privacy-preserving techniques for sensitive data analytics.
  1. Big Data and Advanced Analytics
  • Large-scale data processing with AI/ML pipelines.
  • Real-time analytics and AI-driven decision-making.
  1. Database and Infrastructure
  • AI-optimized database management (e.g., vector databases for LLMs).
  • Cross-platform integration for AI applications.
  1. Decision Support Systems
  • AI-based predictive and prescriptive analytics.
  • Case studies on AI-augmented decision-making.
  1. Business-Process Engineering
  • AI-powered process automation (e.g., RPA with ML).
  • Digital transformation leveraging data science.
  1. Software Engineering Innovations
  • AI-assisted software testing and quality assurance.
  • Development tools for AI-centric systems.
  1. Multidisciplinary Applications
  • AI and data science in healthcare, education, and smart cities.
  • Ethical AI deployment in global contexts.
  1. Future Trends
  • Blockchain-AI convergence for secure systems.
  • Quantum computing for AI acceleration.