Track 1: Advanced Manufacturing Technologies
- Optical vision-guided intelligent manufacturing equipment and closed-loop control
- Optical inspection and intelligent image analysis for precision manufacturing
- Optical imaging-driven digital twin modeling and applications in advanced manufacturing
- Additive manufacturing and 3D printing
- Smart manufacturing systems and Industry 5.0
- Nanomanufacturing and microfabrication technologies
- Precision machining and forming processes
- Sustainable and green manufacturing
- Computer-aided design (CAD) and computer-aided manufacturing (CAM)
- Manufacturing process optimization and scheduling
- Advanced materials and their manufacturing applications
- Non-traditional manufacturing processes (e.g., laser, ultrasonic)
Track 2: Automation and Intelligent Control
- Industrial robotics and collaborative robots (cobots)
- Industrial process automation and control systems
- Intelligent sensors and IoT in automation
- Machine learning and AI-driven automation
- Electrical automation and power systems
- Welding automation and advanced joining technologies
- Control theory and applications in manufacturing
- Autonomous production systems and flexible manufacturing
- Human-robot interaction and ergonomics
- Smart logistics and supply chain automation
Track 3: Deep Learning in Manufacturing and Automation
- Deep learning-based manufacturing process monitoring and quality control
- Deep neural networks for predictive maintenance and fault diagnosis in industrial equipment
- Deep reinforcement learning for adaptive production scheduling and resource optimization
- Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) in robotic manipulation and motion planning
- Deep learning-driven digital twin modeling and real-time simulation
- Graph neural networks (GNNs) for supply chain optimization and demand forecasting
- Explainable deep learning (XAI) for trustable decision-making in industrial automation