22nd International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2027)

The 22nd International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2027) explores intelligent systems and knowledge engineering through computational intelligence methods, focusing on advanced algorithms, decision-making models, and real-world applications under uncertainty.

Key Topics

• Applications and case studies
  • Medical ai for diagnosis and treatment decisions
  • Ai for energy management in smart grids
  • Machine learning-based real-time decision systems
  • Fuzzy control systems for autonomous vehicles
  • Financial decision models using fuzzy machine learning
• Challenges and frontiers
  • Explainable ai and model transparency
  • Ethical decision making and bias mitigation
  • Human-in-the-loop intelligent systems
  • Reinforcement learning in robotics
  • Fuzzy machine learning for climate modeling
• Fundamental theories and methodologies
  • Fuzzy rule-based machine learning systems
  • Interpretability in ai decision models
  • Robust decision making under uncertainty
  • Fuzzy cognitive maps and deep learning models
• Algorithm and model optimization
  • Fuzzy clustering in unsupervised learning
  • Deep neural networks for adaptive decision systems
  • Multi-objective optimization in machine learning

Who should attend

• Researchers in artificial intelligence and computational intelligence
• Engineers developing intelligent systems and algorithms
• Data scientists and machine learning specialists
• Professionals in autonomous systems and robotics
• Experts in decision support and optimization systems
• Academics in computer science and knowledge engineering
• Industry practitioners applying ai in healthcare, finance, and energy
• Students and scholars in intelligent systems and data science