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.

Dr. Zhang had published more than 10 international papers and one of them is ESI Highly Cited Paper, and he also had granted 10 patents in China. Additionally, He serves as a reviewer for many international journals, and recognized as one of the Transactions “Outstanding Reviewers of 2020” by IEEE Instrumentation and Measurement Society. His research interests including Intelligent Maintenance and Condition Monitoring, Fault diagnosis and RUL prediction, Machine Learning and Deep Learning for industrial applications.

·         Predictive Maintenance and Condition Monitoring.

·         Prognostics and Health Management (PHM).

·         Intelligent fault diagnosis and remaining useful life prediction.

·         Digital Twins for manufacture.

·         Machine Learning/Deep Learning.

·         Transfer Learning and Few-shot Learning.

·         Reinforcement Learning.

·         Imitation Learning.

·         Decision Making and Control.

·         Robotic.