Projects per year
Personal profile
Biography
Dr Shaun Gregory’s research centres around cardiovascular engineering, with a specific focus on the development and evaluation of mechanical circulatory and respiratory support systems (artificial hearts and lungs). His research has focused on device development, fluid mechanics (in-silico and in-vitro), physiological control, infection resistance, prototype manufacturing, device evaluation (in-silico, in-vitro, in-vivo), and more.
Shaun works between academia and industry in an effort to translate his research. He holds several academic positions as a Senior Research Fellow in the department of Mechanical and Aerospace Engineering, a Heart Foundation Future Leader Fellow, and has adjunct / honorary positions at the Baker Heart and Diabetes Institute, The University of Queensland, and Griffith University. Shaun receives most of his research funding through competitive grant schemes such as the National Heart Foundation and the National Health and Medical Research Council, where he is a Chief Investigator on a Centre for Research Excellence for advanced cardiorespiratory therapies to improve organ support (ACTIONS).
Current major projects include the development of rapid surgical attachment mechanisms and physiological control for artificial hearts, and improved implantation and training tools for artificial heart-lung machines. Through this research, Shaun aims to reduce some of the most significant complications (bleeding, infection, quality of life) for patients with end-stage heart and lung failure.
Research interests
Cardiovascular engineering, artificial hearts and lungs, artificial organs, medical device evaluation (in-silico, in-vitro and in-vivo), anatomical fitting, physiological control.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research area keywords
- medical engineering
- cardiovasular engineering
- physiological control
- fluid mechanics
- infection resistance
- surgical instrucments
- device evaluation
Collaborations and top research areas from the last five years
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A Multi-Platform Clinical Training Suite To Improve Artificial Heart-Lung Therapy Safety and Effectiveness
Pellegrino, V., Al-Jafary, R. A. M., Gregory, S., Stephens, A., Pollard, J., Diehl, A. & Hodgson, C.
15/05/23 → 15/11/24
Project: Research
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A multidisciplinary approach to reducing complications with extracorporeal membrane oxygenation
1/01/23 → 31/12/26
Project: Research
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Design guidelines for safety-critical controllers in high-risk environments
Wrigley, C., Nusem, E., Straker, K., Gregory, S., Timms, D. & Slade, C.
2/12/21 → 1/12/24
Project: Research
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Clinician Perspectives on Cannulation for Extracorporeal Cardiopulmonary Resuscitation: A Mixed Methods Analysis
Wanigasekara, D., Pellegrino, V. A., Burrell, A. JC., Aung, N. & Gregory, S. D., 1 Mar 2023, In: ASAIO Journal. 69, 3, p. 332-338 7 p.Research output: Contribution to journal › Article › Research › peer-review
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Comparison of single-stage and multi-stage drainage cannula flow characteristics during venoarterial extracorporeal membrane oxygenation
Wickramarachchi, A., Gregory, S. D. & Khamooshi, M., Feb 2023, In: Physics of Fluids. 35, 2, 13 p., 021905.Research output: Contribution to journal › Article › Research › peer-review
Open Access2 Citations (Scopus) -
Computational analysis of thrombosis risk with variations in left ventricular assist device inflow cannula design in a multi-patient model
Khamooshi, M., Azimi, M. & Gregory, S. D., Oct 2023, In: Computer Methods and Programs in Biomedicine. 240, 15 p., 107730.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Current and future strategies to monitor and manage coagulation in ECMO patients
Zeibi Shirejini, S., Carberry, J., McQuilten, Z. K., Burrell, A. J. C., Gregory, S. D. & Hagemeyer, C. E., Dec 2023, In: Thrombosis Journal. 21, 1, 20 p., 11.Research output: Contribution to journal › Review Article › Other › peer-review
Open Access4 Citations (Scopus) -
ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation
the Extracorporeal Life Support Organization Member Centres, Sept 2023, In: Intensive Care Medicine. 49, p. 1090-1099 10 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access