Registered to supervise postgraduate research


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Personal profile

Research interests

Bio-signal Processing

Advanced signal processing for detecting abnormalities in biosignals is the main focus of my research. Processing methods include time-frequency analysis, wavelet analysis, mathematical modelling and various forms of artificial intelligence, including machine learning techniques and neural networks. Applications include EEG signals for binaural hearing research, APG and ECG for heat stress detection and image analysis for breast cancer detection.

My research in mechatronics focusses on advanced control and includes various methods of multivariate iterative learning control (ILC) using artificial intelligence. The main application is control of direct drive PMSM electric motors to achieve a smooth output torque, reducing the noise pollution of these motors through either intelligent control or using the motor (as an antiphase sound source) for active noise cancellation.


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