Topics
The conference covers theoretical, methodological, and applied research in intelligent systems, with emphasis on AI-driven approaches and data-centric modelling.
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Artificial Intelligence and Machine Learning
Machine learning, deep learning, generative AI, data mining, intelligent data analytics, pattern recognition, explainable and trustworthy AI, knowledge-based systems, reasoning, ontology engineering, semantic technologies, knowledge graphs and intelligent decision support systems. -
AI-Based Modelling and Simulation of Intelligent Systems
Data-driven and AI-based modelling of complex systems, digital twins, surrogate models, physics-informed and hybrid AI approaches, adaptive system modelling. -
Optimization and Nature-Inspired Computing
Evolutionary computation, metaheuristics, swarm intelligence, hybrid optimization methods, and large-scale optimization problems. -
Computer Vision and Intelligent Perception
Computer vision, multimodal perception, motion and activity recognition, sensor fusion, and knowledge-guided vision systems. -
Autonomous, Robotic, and Multi-Agent Systems
Multi-agent systems, intelligent robotics, UAVs and drones, swarm robotics, autonomous navigation, reinforcement learning for control, embodied AI, and human-robot interaction. -
Intelligent Computing Infrastructures
Cloud, edge, grid, and high-performance computing for intelligent and distributed AI systems. -
Cybersecurity and Secure Intelligent Systems
AI for cyber-physical systems and Critical Infrastructures, AI for cybersecurity, Intelligent Network Monitoring and Intrusion Detection, trustworthy and privacy-preserving AI, and security of AI-driven and cyber-physical systems. -
Applications of Intelligent Systems
Industry 4.0, smart cities, healthcare, transportation, bioinformatics, and AI applications in science and engineering. -
Miscellaneous
Emerging and interdisciplinary topics in intelligent systems.
