Keywords
Fields of Research (FoR)
Cardiology (incl. cardiovascular diseases), Biomedical engineering, Bio-fluids, Machine learningSEO tags
Biography
A/Prof Susann Beier is a renowned biomedical engineering researcher, specialising in cardiovascular health and machine learning. Her outstanding contributions are reflected in prestigious awards, including the International Cardiovascular Innovations Award and the National Heart Foundation Research Fellowship in New Zealand. As a Fellow of the Cardiovascular Society of Australia and New Zealand, A/Prof Beier has been recognised as a leading...view more
A/Prof Susann Beier is a renowned biomedical engineering researcher, specialising in cardiovascular health and machine learning. Her outstanding contributions are reflected in prestigious awards, including the International Cardiovascular Innovations Award and the National Heart Foundation Research Fellowship in New Zealand. As a Fellow of the Cardiovascular Society of Australia and New Zealand, A/Prof Beier has been recognised as a leading expert in cardiovascular health and has made significant strides in advancing the field.
A/Prof Beier's research focuses on risk assessment and prevention in cardiovascular health through medical image analysis and advanced computational biofluids modelling using high-performance computing. Her work is both fundamental and applied, with a strong emphasis on developing innovative solutions to address cardiovascular health challenges.
As head of UNSW's Sydney Vascular Modelling Group (SVMG), A/Prof Beier has led groundbreaking research projects that leverage the latest advances in machine learning and AI to improve cardiovascular health outcomes. The group's cutting-edge research can revolutionise biomedical and bioengineering.
With over 82 peer-reviewed research outputs, A/Prof Beier's work has been widely recognised and has significantly impacted the field. As Editor of Scientific Data and Scientific Reports, she continues to contribute to the scientific community by publishing new research and mentoring the next generation of researchers.
As a result, A/Prof Beier's research offers exciting opportunities for PhD projects that will allow students to contribute to the Sydney Vascular Modelling Group's cutting-edge work and advance the field of biomedical and bioengineering. By combining expertise in machine learning, AI, and biomedical engineering, students can make a meaningful impact on preventing and treating heart attacks and other cardiovascular conditions. Learn more about the day-to-day at the Sydney Cardiovascular Modelling Group on the group's website.
PHD PROJECTS AVAILABLE.
My Qualifications
- PhD in Biomedical Sciences
- ME Chemical and Materials Engineering
- BE (Hon) Mechanical Engineering
My Awards
- Marie Krogh, Young Women in Science Finalist, 2025 and 2026
- Cardiovascular Research Innovations Award by the Cardiovascular Society of Australia and New Zealand, 2016
- Auckland Charitable Heart Trust, Research Fellowship, 2015
- Emerging Research of the Year Award, 2015
- Emerging Research of the Year Award, 2013
My Research Activities
Susann heads the Sydney Vascular Modelling Group SVMG, which drives important engineering innovations in cardiovascular medicine (see outputs).
My Research Supervision
Supervision keywords
Areas of supervision
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Machine learning and AI in cardiovascular health
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Immersive technologies applied to cardiovascular health
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Stent design optimisation
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Big data image analysis for personalised preventive cardiovascular medicine
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Super-computing for automated vascular simulations assisting clinical surgery
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Real-life surgery with virtual reality
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Imaging of cell behaviour under flow conditions in artery replicas
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Fabrication of realistic artery replicas using advanced 3D printing
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CFD study of diseased arteries to assist patient treatment
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Micro- and Biofluidics
My Teaching
MECH9650 Micro- and Biofluidics - see this link for our student-co-developed electronic and interactive textbook
GSOE8920 Project Management
Location
Level 4, Room 401D
UNSW, Kensington Campus
Sydney NSW 2052
AUSTRALIA
Map reference (Google map)
Publications
ORCID as entered in ROS
https://orcid.org/0000-0002-9815-108X
Research Activities
Enhance the next generation of immersive technologies for medical surgeries. Learn how imaging, visualisation and personalised simulations can be used to assist with difficult surgeries, ranging from the spine to heart atrial fibrillation intervention, all with 3D visualisation in real time, so 4D.
Research project seeking students: Stents are mesh-wired scaffolds implanted into narrowed arteries to prevent heart attacks and strokes. They still fail in 1 in 10 patients, despite being the most common treatment for the leading cause of death worldwide.
This work aims to generate CAD models from micro-CT images of stented patient replicas. The replicas represent the anatomical/geometric distribution found within a large population. The CAD models will be used to generate CFD simulation of the blood flow, revealing their effectiveness for that patient geometry.…
Stents are mesh-wired scaffolds implanted into narrowed arteries to prevent heart attacks and strokes. They still fail in 1 in 10 patients, despite being the most common treatment for the leading cause of death worldwide.
The aim of our work is to expand a number of numerical CFD simulations to generate input for a developed multi-object algorithm. We can then determine optimal design trade-offs for modern stents through several solution iterations.
The specific outcomes are new guidelines for clinicians to be implemented in practice, guiding clinical…
Research Project seeking students: Cardiovascular disease is the single largest killer in the world, causing heart attacks and strokes. Experimental investigation of the underlying principles is key to combating this epidemic; however, individual considerations are still missing.
We are continuously expanding the Coronary Atlas, which is a virtual map of arterial shape and blood flow. Using in-house-built tools to run bash-programmed batch processes on the National Computing Infrastructure, we can process hundreds of medical CT images at a time. We then computationally model these…
Cardiovascular disease is the single largest killer in the world, causing heart attacks and strokes. Experimental investigation of underlying principles is key to combating this epidemic; however, individual considerations are still completely missing.
The aim of this work is to develop accurate machine learning neural networks to identify links between a large set of demographic, arterial shape and flow data and clinical risk. This will help to identify biomarkers which can be deployed in clinical practice for early risk detection.
Available data will be…
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