Ke Feng


Ke Feng


Ke Feng currently works at the University of British Columbia, Canada. He received a Ph.D. degree in mechanical engineering from the University of New South Wales, Australia, in 2021. He was a Postdoctoral Research Associate with the University of Technology Sydney in 2021. His main research interests include digital twins, RUL prediction, vibration analysis, structural health monitoring, dynamics, tribology, signal processing, and machine learning.

He is the editor and guest editor of several journals, including Mechanical Systems and Signal Processing, Engineering Applications of Artificial Intelligence, IEEE Transactions on Instrumentation and Measurement, Measurement Science and Technology, etc. He is also a Vebleo Fellow.

Position(s) & Affiliation(s)

University of British Columbia