Team | Sydney Vascular Modelling Group

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

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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

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Disease risk prediction
Computer vision

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

PhD Students

Stent design optimisation

Haemodynamics in population shape models

Transfer segmentation methods for CTCA

Stent strategy optimisation

Hao Wu

Machine learning methods for segmentation artefacts.

Freddie Wong

Advanced coronary plaque analysis

Cellular responses of stenting with mock arteries

Robert Verdoes

Detailed haemodynamic analysis in a large, diverse population

Master’s Students

Dr med. Dona Adikari

Haemodynamics as new atherosclerosis biomarker

Mechanical Engineer - Modelling | Simulation | Mathematics

Exchange Students

Mechanical Engineer

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

Mechanical and Biomedical Engineering Student at ��¼�.

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Undergraduate Students

Jiacheng Min: Idealized and Patient Specific Coronary Artery Based on Two-Way FSI
Roger Lu: Multi-Objective Optimisation of Stent Designs Focussing on Vessel Calibre
Joshua Najdzion: Multi-Objective Optimisation of Stents
Hermione Truong: Developing a method to evaluate stenting techniques in an in vitro heart model
Joshua Dawson: Towards a High-Fidelity Virtual Reality Atrial Fibrillation Simulator for Surgery Training
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

Sinead McCraith: Design and Validation of a Stentable in vitro Coronary Artery
Suvercha Khattar: Building a Virtual Reality Simulator for Transcatheter Aortic Valve Implantation
Kate O’Sullivan: The Development of a Guided Knowledge Base to Effectively Teach Virtual Reality Programming
Vamsi Kumar: Computational Modelling of Coronary Artery Blood Flow
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
Anushan Senthurnathan: FEA modelling for ideal stent designs

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

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