Research interest

  1. Novel medical image analysis

    Quantitative analysis of MRI and CT data to generate useful metabolic (e.g. pH) and hemodynamic (e.g. cerebral blood flow) information about the body for clinical applications such as stroke and cancer diagnosis.

  2. Machine learning in clinical applications

    Using artificial intelligences and signal processing techniques on very large quantities of data that are routinely collected by healthcare devices to provide automated, semi-automated and decision support systems for patient monitoring and clinical applications.

  3. Physiological and mathematical modelling

    Mathematical modelling of cilia using computational fluid dynamic (CFD) tools such as CFD-ACE, to study the protein-structure-fluid interaction in a healthy and diseased state in order to understand the diseases caused by defective and dysfunctional cilia.

 

To be more specific, I am interested in the following research areas (but not limited to):

MRI or Imaging Projects

PH-weighted MRI in acute stroke (my phd & postdoc work) - having a fully funded master by research position now

PH-weighted and dynamic susceptibility contrast MRI in cancer (part of my postdoc work)

Identify biomarkers of Parkinson’s disease progression using advanced imaging, biologic sampling and clinical and behavioral assessments

Cardiac MRI segmentation

Signal Processing Projects

Non-contact vital signal monitoring (use video to measure heart rate, breathing rate and so on)

Use mobile phone to detect pregnancy (related to the monitoring project right above)

Analyse fetal ECG signal and propose a more measurement friendly method to pick up the fetal pulses (to complement the pregnancy detection project)

Reproduce sound through subtle vibrations (A fully funded master scholarship is available now)

Generate visually appealing QR codes using error control coding

Speech tests for Parkinson's Disease

Computational Fluid Dynamics (CFD) Project

Study fluid-structure-protein interaction of cilia to investigate the different ciliary beating pattern in the body.

Informal enquiries about other possible research areas or your own proposed projects can be sent to: teeyeekai(AT)gmail(dot)com.

(Note: change (AT) to @ and (dot) to .)

News

Abstracts accepted for 25th ISMRM 2017 in Hawaii, US! Please refer to the publication page for the details.

New funding secured!

A fully funded master in image processing is open to all now!

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