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Our team

Teamwork • Excellence • Inclusivity

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Lab head

A/Prof Susann Beier, FCSANZ

  • Advanced medical image analysis

  • Stent design optimisation

  • Machine learning to understand disease risk

  • Vascular fluid mechanics

Academics

Dr Darson Li

  • Computational simulations of multiphysics systems

  • Advanced drug delivery using magnetic and nanoparticles

  • Microfluidics and Biofluidics

  • Discrete element modelling of particulate colloidal systems

Postdoc Researchers

 Mingzi Zhang

  • Modelling of cardiovascular and cerebrovascular diseases
  • Image-based estimation of in vivo haemodynamic parameters
  • Virtual deployment of endovascular devices and surgical implants

  • Disease risk prediction
  • Computer vision

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Kristofer delas Peñas

  • Machine learning and biomedical image analysis
  • 3D segmentation
  • Disease characterisation and risk prediction

  • Modelling blood flow and blood vessel interaction
  • Reduced-order modelling 
  • Uncertainty quantification

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PhD Students

Stent design optimisation

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Haemodynamics in population shape models

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Transfer segmentation methods for CTCA

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Stent strategy optimisation

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Hao Wu

Machine learning methods for segmentation artefacts.

Freddie Wong

Advanced coronary plaque analysis

Cellular responses of stenting with mock arteries

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Robert Verdoes

Detailed haemodynamic analysis in a large, diverse population

Master’s Students

Dona Adikari

Haemodynamics as new atherosclerosis biomarker

Mechanical Engineer - Modelling | Simulation | Mathematics

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Exchange Students

Mechanical Engineer

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Engineering education on micro- and bio fluidics - effective teaching methods

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  • Mechanical and Biomedical Engineering Student at UNSW.

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Undergraduate Students

  • Jae Hwan: Impingement impact assessment pre-operative and post-operative
  • Vivian Bakiris: MicroCT reconstruction for benchtop surgery
  • Heidi Wright: Stent design optimisation
  • Somesh Khullar: FSI modelling of coronary arteries
  • Fernan Bautista: 3D printing of realistic coronary artery models
  • Zoe Marandos: Cell load modelling
  • Rohan Bhat: Automated coronary artery tree segmentation using deep learning
  • Jinbo Liu: Multi-objective stent design optimisation
  • Ronil Lal: Virtual Reality for Stent Implant
  • Anushan Senthurnathan: FEA modelling for ideal stent designs
  • Samhita Soman: Measuring knee joint kinematics in post-operative patients of total knee arthroplasty using inertial sensors
  • Matilda Marriott: MicroCT reconstruction for benchtop surgery and modelling
  • Chi Shen: Secondary flow profiles in curved bifurcation models
  • Nicholas Kropf: Flow Measurements in 3-Dimensional Printed Coronary Grafts
  • Qie Shang (Ivan) Pua: Machine Learning for Personalised Heart Disease Treatment
  • Vanessa Luvio: Advanced multi-objective stent design optimisation
  • Darayus Nanavati: Design and validation of a low-cost high channel count biphasic stimulator
  • Nanway Chen: Unsupervised learning of geometric vessel features

See here, for a list of currently available research thesis projects, and how to get in touch.