Bin Yang received the B.S. and M.S. degrees in Mechatronics Engineering from Chang’an University, Xi’an, P.R. China, in 2014 and 2017, respectively, and then received the Ph.D. degree in Mechanical Engineering from Xi’an Jiaotong University, Xi’an, P.R. China, in 2022. He is currently an Assistant Professor with School of Mechanical Engineering, Xi’an Jiaotong University. He was also a Visiting Ph.D. Student of the Centre of Maintenance Optimization and Reliability Engineering (C-MORE) at the University of Toronto, Canada. He is also a Member of IEEE, ASME and IET, a senior member of CMES, and a reviewer of MSSP, IEEE TIE, TII, TNNLS, etc.

His research interests include the methodology and technology of transfer learning in machinery condition monitoring and fault diagnosis. He has published serials of articles in the authorized Top journals, such as Mechanical Systems and Signal Processing, IEEE Transactions on Industrial Electronics, etc. With the achievements, he has developed intelligent fault diagnosis system for bearing manufacturing defects, which performs well at SKF’s largest manufacturing base of roller element bearings around world. In 2022, he has been elected into the Program for Supporting Young and Excellent Talents at Xi’an Jiaotong University.