Ming Zhang received the B.S. and PhD degrees in mechanical engineering from the Beijing University of Chemical Technology, Beijing, China, in 2011 and 2017, respectively. He was a postdoctoral fellow in the Department of information science and technology, Shenzhen International Graduate School, Tsinghua University, China. Currently, he is a Research Associate at the College of Engineering and Physical Sciences, Aston University, UK.
His research interests include Predictive Maintenance and Condition Monitoring, Intelligent Fault Diagnosis and Remaining Useful Life prediction, Deep Learning in industrial scenarios, especially Transfer Learning and Few-shot Learning. He has published about 20 papers and one of them is ESI Highly Cited Paper, and he also had granted 10 patents in China. Additionally, He serves as an Editor for the Journal of Robotics and Mechanical Engineering and Guest Editor of a special issue on Sensor, and he also serves as the reviewer for 9 international journals. In 2021, he was recognized as one of the Transactions “Outstanding Reviewers of 2020” by IEEE Instrumentation and Measurement Society.
