Dr Andrew Stephens
Faculty of Engineering,
School of Electrical Engineering & Robotics
Biography
Dr Andrew Stephens is an Electronic and Computer Engineer and director of ACE Lab. His research areas include smart devices, emergency medicine, and artificial intelligence. Andrew is always looking to take on new PhD students who have a passion for combining medicine and engineering and has several projects available in device development, AI, and artificial heart-lung therapies.Current PhD projects on offer:
A New Smart Device for Cardiopulmonary Resuscitation Feedback (Sensing and Control)
Improving the Diagnosis of Aortic Valve Disease (Experimental and Design)
Using Artificial Intelligence for Predicting Complications of Artificial Heart-Lung Devices (AI and Data Science)
Using Artificial Intelligence to Predict Stroke Patient Readmissions (AI and Data Science)
Artificial Intelligence to Explore Equity of Care in Artificial Heart-Lung Devices (AI and Data Science)
Personal details
Positions
- Senior Lecturer
Faculty of Engineering,
School of Electrical Engineering & Robotics
Keywords
Biomedical Engineering, Cardiovascular Devices, Mechanical Circulatory Support, Ventricular Assist Device, ECMO, Impella, Cardiovascular Physiology, Prognostication and Prediction, Smart Devices, Neural Networks
Research field
Biomedical engineering, Cardiovascular medicine and haematology
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- Doctor of Philosophy (Griffith University)
Teaching
EGB120 (2024 onwards)
Publications
Research outputs by year
- Clarke, A., Stephens, A., Liao, S., Byrne, T. & Gregory, S. (2020). Coping with COVID-19: ventilator splitting with differential driving pressures using standard hospital equipment. Anaesthesia, 75(7), 872–880. https://eprints.qut.edu.au/247207
- Stephens, A., Seman, M., Diehl, A., Pilcher, D., Barbaro, R., Brodie, D., Pellegrino, V., Kaye, D., Gregory, S., Hodgson, C. & other, a. (2023). ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation. Intensive Care Medicine, 49(9), 1090–1099. https://eprints.qut.edu.au/247282
- Gregory, S., Pauls, J., Wu, E., Stephens, A., Steinseifer, U., Tansley, G. & Fraser, J. (2020). An advanced mock circulation loop for in vitro cardiovascular device evaluation. Artificial Organs, 44(6). https://eprints.qut.edu.au/247233
- Stephens, A., Wanigasekara, D., Pellegrino, V., Burrell, A., Marasco, S., Kaye, D., Steinseifer, U. & Gregory, S. (2021). Comparison of Circulatory Unloading Techniques for Venoarterial Extracorporeal Membrane Oxygenation. ASAIO Journal, 67(6), 623–631. https://eprints.qut.edu.au/247234
- Stephens, A., Wickramarachchi, A., Burrell, A., Bellomo, R., Raman, J. & Gregory, S. (2022). Hemodynamics of small arterial return cannulae for venoarterial extracorporeal membrane oxygenation. Artificial Organs, 46(6), 1068–1076. https://eprints.qut.edu.au/247281
- Stephens, A., Busch, A., Salamonsen, R., Gregory, S. & Tansley, G. (2021). Rotary Ventricular Assist Device Control with a Fiber Bragg Grating Pressure Sensor. IEEE Transactions on Control Systems Technology, 29(3), 1009–1018. https://eprints.qut.edu.au/247199
- Chan, C., Nandakumar, D., Balletti, N., Horobin, J., Wu, E., Bouquet, M., Stephens, A., Pauls, J., Tansley, G., Fraser, J., Simmonds, M. & Gregory, S. (2020). In vitro hemocompatibility evaluation of modified rotary left to right ventricular assist devices in pulmonary flow conditions. ASAIO Journal, 66(6), 637–644. https://eprints.qut.edu.au/247278
- Stephens, A., Busch, A., Salamonsen, R., Gregory, S. & Tansley, G. (2019). A novel fibre Bragg grating pressure sensor for rotary ventricular assist devices. Sensors and Actuators, A: Physical, 295, 474–482. https://eprints.qut.edu.au/247215
- Stephens, A., Stevens, M., Gregory, S., Kleinheyer, M. & Salamonsen, R. (2017). In Vitro Evaluation of an Immediate Response Starling-Like Controller for Dual Rotary Blood Pumps. Artificial Organs, 41(10), 911–922. https://eprints.qut.edu.au/247270
- Jafary, R., Armstrong, S., Byrne, T., Stephens, A., Pellegrino, V. & Gregory, S. (2022). Fabrication and Characterization of Tissue-Mimicking Phantoms for Ultrasound-Guided Cannulation Training. ASAIO Journal, 68(7), 940–948. https://eprints.qut.edu.au/247198
QUT ePrints
For more publications by Andrew, explore their research in QUT ePrints (our digital repository).
Supervision
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I am currently accepting research students for Honours, Masters and PhD study.
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