Track - 1: Systems Thinking and Engineering Applications

• Knowledge Representation, Search, and Analysis for Systems Engineering
• Explainable AI (XAI) and Visualization Methods in Systems Design and Analysis
• Multi-Attribute Optimization and Simulation Techniques for Systems Engineering
• Soft Computing Approaches for Smart Cities Planning and Management
• Large-Scale Optimization Techniques for Complex Systems
• Big Data Optimization for Large-Scale System Applications
• Autonomous Systems for Environmental Monitoring and Management
• Artificial Intelligence for Stability Analysis and Control in Industrial Systems
• Decision Support Tools for Systems Engineering Computation
• Soft Computing Techniques for Distributed Systems Engineering

Track - 2: AI-Enabled Systems Engineering Solutions

• Artificial Intelligence for Control, Fault Detection, and Maintenance in Complex Systems
• AI-Enabled Aspects in Edge-Cloud Environment for Systems Engineering Applications
• Network Function Virtualization for Cloud/Edge Intelligence in Systems Engineering
• Computational AI Methods for Sustainable Society Development and Implementation
• AI Algorithms for Distributed and Decentralized Processing in Systems Engineering
• AI-Driven Security and Privacy Protection for Systems Engineering Applications
• Machine Learning for Prediction and Experience Modeling in Systems Engineering
• Sustainable Recommender Systems Using AI Techniques
• Reinforcement Learning in Sustainable Energy and Systems Optimization