Dr Ming Zhang is currently a Research Associate at the College of Engineering and Physical Sciences, Aston University, UK., before that he is a postdoctoral fellow in the Department of information science and technology, Shenzhen International Graduate School, Tsinghua University, China. He received the Bachelor and PhD degree at the School of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, China
- Predictive Maintenance and Condition Monitoring
- Progostics and Health Management(PHM)
- Intelligent Fault Diagnosis
- Remaining Useful Life Predicton
- Digital Twins, AI and Robotic in Manufacturing
- Machine Learning/Deep Learning
- Transfer learning and Few-shot Learning
- Reinforcement Learing
- Dynamic Scheduling Method for Job-Shop Manufacturing Systems by Deep Reinforcement Learning with Proximal Policy Optimization
- Cost Modelling to Support Optimum Selection of Life Extension Strategy for Industrial Equipment in Smart Manufacturing
- Predictive Maintenance for Remanufacturing Based on Hybrid-Driven Remaining Useful Life Prediction
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