Topics and Scope

Topics of interest include, but are not limited to:
Track 1. Intelligent Systems and Machine Intelligence - Knowledge Representation and Reasoning - Machine Learning and Deep Learning - Foundation Models and Generative AI - Explainable, Interpretable, and Trustworthy AI - Reinforcement Learning and Sequential Decision Making - Computer Vision and Pattern Recognition - Natural Language Processing and Large Language Models - Speech and Audio Processing - Fuzzy Systems and Soft Computing - Evolutionary Computation and Swarm Intelligence - Multi-Agent Systems and Intelligent Agents - Human-in-the-Loop and Human-Centered AI - Cognitive Computing and Brain-Inspired Intelligence - AI Planning, Scheduling, and Optimization - Multi-Modal Learning and Data Fusion - Edge Intelligence and Embedded AI - AI for Science, Engineering, and Society - Uncertainty Quantification and Probabilistic Reasoning	Track 2. Autonomous Computing and Autonomous Systems - Autonomic and Self- Computing - Self-Adaptive, Self-Healing, and Self-Organizing Systems - Autonomous Agents and Multi-Agent Reinforcement Learning - Learning-Based Control and Decision Making - Autonomous Robots and Robotic Autonomy - Swarm Robotics and Collaborative Autonomy - Unmanned Aerial, Ground, and Underwater Vehicles - Autonomous Driving and Intelligent Transportation - Path Planning, Navigation, and Task Allocation - Human-Robot Interaction and Teaming - Autonomy in the Edge-Cloud Continuum - Runtime Verification and Safety Assurance - Fault Tolerance and Resilience in Autonomous Systems - Digital Twins and Simulation for Autonomy - Energy-Aware and Resource-Efficient Autonomy - Ethics, Regulation, and Governance of Autonomous Systems - Autonomous Decision-Making under Uncertainty
Track 3. Cyber Engineering and Secure Networked Systems - Cybersecurity and Privacy - Cryptography and Secure Computation - Intrusion Detection, Prevention, and Response - Malware Analysis and Threat Intelligence - Network Security and Protocol Design - Zero Trust Architectures and Identity Management - Blockchain and Distributed Ledger Technologies - Secure Cyber-Physical Systems - IoT, Edge, and Cloud Security - Software Security and Program Analysis - Hardware Security and Trusted Execution - Adversarial Machine Learning and AI Security - Privacy-Preserving Machine Learning and Federated Learning - Digital Forensics and Incident Response - Cyber Risk Assessment and Cyber Resilience - Security Automation and Orchestration - Quantum-Safe Cryptography and Quantum Security - Formal Methods for Security and Trust	Track 4. Cyber-Physical Systems and Emerging Applications - Cyber-Physical Systems and Digital Twins - Internet of Things and Edge Computing - 5G/6G and Future Communication Networks - Cloud-Edge-Device Collaborative Computing - Smart Cities, Smart Grids, and Smart Manufacturing - Industrial Internet and Industry 4.0/5.0 - Intelligent Healthcare and Biomedical Systems - Autonomous Transportation and Logistics - Environmental Monitoring and Sustainable Computing - Human-Centric Computing and Metaverse - AR/VR and Immersive Intelligent Systems - Robotics and Automation Applications - Data-Driven Engineering and Analytics - High-Performance Computing for Intelligent Systems - Modeling, Simulation, and Optimization - Interdisciplinary AI and Cyber Engineering - Testbeds, Benchmarks, and Standards - Deployment, Scalability, and Real-World Case Studies