I am an Assistant Professor at Research Centre for Intelligent Healthcare, in the cluster of Healthcare Sensing Technology. My research has spanned a wide range of areas within Biomedical Engineering and Electronic Engineering, especially developing advanced signal processing approaches for healthcare applications.

Over recent years, I have been working on developing a Maternal Health Research group, aiming to achieve early diagnosis and prediction of obstetric diseases by developing innovative maternal/ fetal monitoring technologies. The current research of the group includes two main parts - the fundamental study for better understanding of the underlying physiology of human uterine activity and the applied research for maternal monitoring and preterm prediction application. My research vision is to reduce health inequalities, particularly to reduce stillbirth, maternal and neonatal mortality, improve the awareness of the group of pregnant women and enhance the engagement of pregnant women with healthcare interventions.

To achieve this, I work with a wide range of researchers and clinicians across the world, from different disciplines including collaborators in the UK from UHCW NHS Trust, Birmingham Women's Hospital, University of Leeds, University of Newcastle, King’s College London, Birmingham City University, etc., and international collaborators from, e.g., Spain, Poland, China, etc.

Notable research grants include:

My previous research has also focused on implementing mathematical theories into clinical neuroscience, where EEG and EMG were used to develop novel algorithms to aid the classification and stratification of patients with movement disorders. 

Signal processing; Electrophysiology; Healthcare application; Clinical tool innovation