Call for Paper.

Track 1: Foundational and Applied Artificial Intelligence

Algorithms & Computational Foundations:

Efficient and trustworthy AI algorithm design;

Learning under constraints;

Biologically-inspired and neuromorphic computing models.
AI Systems & Architecture:

Hardware-software co-design for AI;

Accelerators for machine learning;

Energy-efficient and high-performance computing architectures for intelligent applications.
Human-AI Collaboration:

Advanced human-computer interaction for AI explainability and control;

Immersive interfaces (VR/AR) powered by intelligent systems;

Human-in-the-loop learning and adaptation.
Machine Learning & Intelligence:

Advances in deep learning theory,

Federated learning, causal inference, and reinforcement learning for complex, real-world domains.
Intelligent Perception & Generation:

Computational models for vision, multimedia, and multimodal understanding;

Generative models for simulation, content creation, and synthetic data;

Physics-informed neural networks for modeling and simulation

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Track 2: Intelligent Automation and Autonomous Systems

Core Control Technologies:

Intelligent and adaptive control;

data-driven and model-predictive control for complex processes;

hybrid intelligent systems for uncertainty management.
Autonomous Systems & Robotics:

Intelligent fault diagnosis, prognosis, and self-healing systems;

Perception-action cycles for intelligent vehicles and mobile robots;

Autonomous operation in manufacturing and process control.
Cyber-Physical & Networked Systems:

Network intelligence for IoT and industrial control systems;

Secure and resilient networked automation;

Digital twin technologies for modeling, monitoring, and control.
Smart Infrastructure & Integration:

Sensor fusion and intelligent sensing for environmental and industrial monitoring;

Smart structures and responsive systems;

Integrated manufacturing and intelligent production systems.

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Track 3: Advanced Mechatronics and Embodied Intelligence

Intelligent Robotic Systems:

Intelligent and adaptive control;

Data-driven and model-predictive control for complex processes;

Hybrid intelligent systems for uncertainty management.
Precision Mechatronics:

Intelligent fault diagnosis, prognosis, and self-healing systems;

Perception-action cycles for intelligent vehicles and mobile robots;

Autonomous operation in manufacturing and process control.
Micro/Nano Systems and Emerging Physics:

Network intelligence for IoT and industrial control systems;

Secure and resilient networked automation;

Digital twin technologies for modeling, monitoring, and control.
Integrated Design & Control:

Sensor fusion and intelligent sensing for environmental and industrial monitoring;

Smart structures and responsive systems;

Integrated manufacturing and intelligent production systems.

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