Andrew has over ten years of experience in the development of smart medical devices for optimising patient outcomes and streamlining medical care. His research expertise includes sensors and control systems, medical artificial intelligence, cardiovascular simulators, and embedded systems. 

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Dr Mehrdad Khamooshi is an emerging leader in cardiovascular and respiratory computational fluid dynamics (CFD), with over 5 years of postdoctoral experience. He is currently a Research Fellow at Queensland University of Technology (QUT), holds The Prince Charles Hospital Postdoctoral Fellowship, and leads simulation research at the Advanced Cardiovascular Engineering Laboratory (ACE LAB).He leads translational research in ECMO and VAD technologies that directly influence clinical practice and improve patient outcomes.​

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Dr Avishka Wickramarachchi is postdoctoral research fellow at the Centre for Biomedical Technologies and is the lead expert mock circulatory loop researcher at the Advanced Cardiorespiratory Engineering laboratory. His research primarily focuses on developing novel device designs and improving clinical practice for patients suffering from cardiovascular and/or respiratory diseases. Avishka’s research takes many forms, including in silico cardiovascular models (lumped parameter and computational fluid dynamics modelling), in vitro benchtop simulators, and ex vivo hemocompatibility experiments. He has BEng Honours (2021) and PhD (2025) degrees from Monash University, with 10+ publications and 1 book chapter.

Prashant is a postdoctoral researcher developing digital twin and AI-enabled technologies for critical care. His work focuses on interactive physiological models, predictive clinical tools, and device operation platforms that support bedside diagnosis, clinical training, and next-generation medical device design. His research helps clinicians better understand complex disease states, including cardiogenic shock and HFpEF pathophysiology. It also supports real-time decision-making and aims to improve the safety and performance of critical care technologies. He is particularly passionate about AI in medicine, cardiopulmonary support systems, and medical-wearable technologies.​​​​​

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Dr Madi Rhodes is a Postdoctoral Research Fellow at the Centre for Biomedical Technologies at QUT. Her research focuses on developing realistic, tissue-mimicking clinical training models that enable healthcare professionals to safely practise complex, high-risk, low-frequency procedures before performing them in real-world patient care. Madi holds a Bachelor of Engineering (Honours) in Biomedical Engineering from QUT and a PhD in Medical Science/Medical Physics from the University of Aberdeen (UK) where her doctoral research was supported by the European Union’s Marie Skłodowska-Curie Actions Scholarship. Passionate about the intersection of medicine and engineering, Madi is driven by the potential of biomedical technologies to bridge the gap between research and clinical practice, creating innovative solutions that enhance healthcare education, improve clinical preparedness, and ultimately contribute to better patient outcomes.

Madhu has a bachelor’s degree biomedical engineering and Masters in Engineering Management. She was previously President of Women in Engineering , Institute of Electrical Electronics Engineers (IEEE) , in Sri Ramakrishna Engineering College and Project Coordinator (data and strategy) in VicWise, a non-government organisation empowering international students to achieve career goals through advocacy, collaboration, and support. Madhu is currently a Research Associate in the ACE LAB focusing on the development of in-vitro evaluation platforms, alongside her role as Team Lead of the international Heart Hackathon student team competition.

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Emma Vande Wouwer is a PhD researcher at the ACE Lab, where she applies artificial intelligence to improve outcomes for patients on Extracorporeal Membrane Oxygenation (ECMO). She holds a BSc in Data Science & AI from Maastricht University, an MSc in Biomedical Engineering from Trinity College Dublin, and completed medical coursework at Maastricht.

Her work bridges clinical insight and technical innovation, with experience in AI pipelines for spine CT imaging (Maastro Clinic), cardiovascular signal analysis (St James’s Hospital Dublin), and NLP systems at APG Netherlands. She also led computer vision efforts for the award-winning Formula Trinity autonomous racing team and contributed to machine learning projects at Xpanse AI.

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Matthew is a PhD candidate focused on the optimization of mechanical circulatory support. His research utilizes computational fluid dynamics to refine Impella pump performance, aiming to minimize blood-related complications and enhance the clinical safety of critical care technologies. His work bridges fluid mechanics and biomedical engineering to improve the performance of life-support devices.

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Joshua is a PhD student in the ACE Lab, creating a novel closed-loop cardiopulmonary resuscitation (CPR) feedback device using near-infrared spectroscopy (NIRS). Joshua has a background in biomedical engineering, receiving a B.S. in Biomedical Engineering with a mechanical concentration. ​​​​​​

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Narges Kamaei Asl is a PhD researcher studying mucociliary clearance and inhaled drug delivery in the respiratory system. Her work uses computational modelling to understand how airflow, mucus properties, ciliary motion, and airway disease affect treatment effectiveness, with the aim of improving drug delivery and supporting better clinical management of respiratory conditions.

Her work bridges biofluid mechanics, soft-tissue biomechanics, artificial intelligence, and computational modelling. Her previous research includes Machine Learning prediction of cerebral aneurysm haemodynamic, CT-based simulation of aortic blood flow, and constitutive modelling of soft tissues, providing a strong multidisciplinary foundation for improving respiratory treatments and clinical outcomes.

Zahra is a PhD researcher at ACE Lab investigating the relationship between patient-specific aortic geometry and embolic stroke risk in cardiovascular patients, with a focus on outcomes following transcatheter aortic valve implantation (TAVI). Building on her background in computational fluid dynamics (CFD) of particulate flows, she applies scale-resolving turbulence models, Lagrangian particle tracking for embolus transport, and statistical shape modelling (SSM) to identify geometric predictors of stroke risk across a patient cohort. Her research aims to develop a validated computational framework to support clinical stroke risk prediction based on patient-specific anatomy.

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Alejandra Paredez Paredes is a PhD student in the ACE Lab working on the development of a novel pediatric total artificial heart. She has a bachelor's degree in Mechatronic Engineering as well as Applied and Computational Mathematics.​

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Marc is a PhD student in the ACE Lab, where his research focuses on advancing the next‑generation pREBOA system to improve the management of non‑compressible torso haemorrhage. He holds a BSc in Electrical Engineering and an MSc in Biomedical Engineering, and brings several years of industry experience in medical device development, working across embedded software development and electronic hardware design. Marc is driven by the goal of bridging engineering and medicine to create meaningful, clinically impactful technologies.

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Jinnie Semple is currently working as a Research Assistant in the Artificial Heart Frontiers Program (AHFP) at QUT and will soon transition into a PhD student position in the ACE Lab. Her research will focus on the development and implementation of a simulation-based ECMO training suite to improve procedural competency and reduce cannulation-related adverse events, directly contributing to safer ECMO initiation. Jinnie is passionate about conducting research that directly translates into improved patient outcomes. With a Bachelor of Applied Science in Bio-Mechanical Engineering from Queen's University, she has always aspired to work at the intersection of healthcare and innovation.