About the Journal

AI Systems Engineering (AISE) is an international open-access journal dedicated to advancing interdisciplinary research and innovative methodologies that integrate artificial intelligence (AI) with systems engineering principles. The journal aims to establish a leading academic exchange platform, promote the deep integration of AI algorithms with real-world engineering systems, explore cutting-edge technologies in intelligent automation, and ultimately enhance the efficiency, reliability, and adaptability of complex engineered systems.

AISE focuses on key challenges at the intersection of AI and systems engineering, including but not limited to the following directions:

  • AI-Driven Systems Design & Optimization
    Neural architecture search (NAS)
    Automated decision-making systems
    AI-augmented simulation and digital twins
    Self-adaptive and self-healing systems
  • Intelligent Control & Automation
    Reinforcement learning for control systems
    Swarm intelligence in robotics
    AI-powered industrial automation
    Cyber-physical systems integration
  • Trustworthy & Explainable AI Engineering
    Robustness and safety verification
    Interpretable machine learning models
    Fairness, accountability, and transparency
    AI ethics in mission-critical systems
  • Large-Scale AI System Deployment
    Edge AI and distributed intelligence
    Federated learning for scalable systems
    AI-optimized cloud/edge computing
    Energy-efficient AI hardware co-design
  • Domain-Specific AI Applications
    Smart manufacturing and Industry
    Autonomous vehicles and transportation
    AI in healthcare systems engineering
    Sustainable infrastructure and smart cities
  • Emerging Methodologies & Tools
    Causal AI for system diagnostics
    Generative AI for synthetic data engineering
    AI-assisted requirements engineering
    AI systems testing and validation frameworks
  • Sociotechnical & Policy Dimensions
    Human-AI collaboration paradigms
    Regulatory frameworks for AI systems
    Workforce transformation and AI education
    Global standards for responsible AI engineering

General Information

eISSN: 

1st Year Published: 2025

Frequency: Bimonthly

Issues Per Year: 6

Country / Region: Malaysia

Primary Language: English