معرفی
Zequan Yao is a doctoral researcher at KU Leuven within the Manufacturing Processes and Systems (MaPS) unit. His work focuses on advancing micro-EDM and nano-manufacturing processes through digital monitoring and machine learning integration.
- Research Emphasis: Surface quality prediction, edge computing, and deep learning for precision machining
- Key Technologies: RF radiation sensing, multiphysical process analysis, and adaptive pulse classification
- Collaborations: Works with researchers like Ming Wu, Jie Qian, and Dominiek Reynaerts
Recent publications highlight trends in machine learning applications for manufacturing diagnostics, CFRP composite machining challenges, and RF-based process signatures. His work bridges traditional machining with intelligent systems for quality control.
- Labs/Teams: Micro- & Precision Engineering group at KU Leuven
- Future Directions: Expanding edge computing for in-process optimization and interpretable AI frameworks
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