Yang Yang

Research Member of Common Room

Postdoctoral researcher

Oxford Institute of Biomedical Engineering (IBME)


Yang joins the computational health informatics (CHI) Lab as Oxford University’s second K.C. Wong Fellow. She comes from the Department of Mechanical Engineering at Shanghai Jiao Tong University in China. She received her BEng and DPhil degrees from Shanghai Jiao Tong University in 2006 and 2013, respectively. She studied in the Intelligent Maintenance System Centre at University of Cincinnati in USA from 2007 to 2008. She is currently with the State Key Laboratory of Mechanical System and Vibration at Shanghai Jiao Tong University.

Her doctoral research focussed on non-stationary signal processing based on time-frequency analysis (TFA) tools. She has also developed TFA tools in the analysis of non-stationary signals from rotary machinery and guided wave-based structural health monitoring. A particular emphasis of her work in the CHI Lab is to use machine learning methods to diagnose and predict resistance of Mycobacterium tuberculosis with respect to anti-tuberculosis drugs. Her research interests include signal processing, condition monitoring pattern recognition and novelty detection.