Research

From biomedical signals to clinically useful intelligence.

Research areas connect acoustic sensing, physiological dynamics, representation learning and interpretable health outputs.

Learning from snoring, tracheal audio and physiological signals to detect respiratory events and support sleep-apnea screening.

Self-supervised and acoustic representations for speech/audio health applications and event-level modelling.

Fusion of respiratory, cardiovascular and acoustic modalities for robust health inference.

Learning from snoring, tracheal audio and physiological signals to detect respiratory events and support sleep-apnea screening.

Self-supervised and acoustic representations for speech/audio health applications and event-level modelling.

Fusion of respiratory, cardiovascular and acoustic modalities for robust health inference.