About Me

I am a Senior Lecturer at the University of Melbourne. Previously, I served as a Senior Research Scientist at Nokia Bell Labs in the UK, a Senior Research Associate at the University of Cambridge, and a Research Associate at the University of New South Wales (UNSW), Australia, where I also earned my Ph.D. My research primarily focuses on human-centered AI and sensing for health delivery. Specifically, I develop AI models that leverage audio signals (such as speech and breathing) and physiological signals (like PPG and EEG) through mobile and wearable sensing to detect and monitor health conditions. I am serving as the Editor for IEEE Pervasive Computing, an Area Chair for ICASSP, and a Senior PC for AAAI.

Research Interests

• Machine learning in mobile health: Pioneering the development of machine learning algorithms tailored for diverse health applications, aimed at enhancing the reliability and effectiveness of ML in screening, diagnosis, and monitoring.
• Speech and Audio Processing: Investigating advanced signal processing and machine learning techniques for speech and related applications.
• Time Series Modelling: Enhancing representation learning for time series in real-world challenges.
• Trustworthy Deep Learning (DL): Improving the interpretability and generalization of DL models for more reliable health outcome predictions.
• Wearable Sensing: Examining novel sensing opportunities for health monitoring using new forms of resource-constrained IoT wearable devices.

Opportunities

We are currently looking for PhD students to work on machine learning for health and wearable sensing. Scholarships are available for eligible candidates. We also welcome applications from China Scholarship Council (CSC) students. For more details, please refer to our Hiring page.

We also welcome visiting scholars to join our team if the research background aligns with our focus.

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