Our research
As a hub of world-class research and innovation, the UNSW School of Biomedical Engineering is the launching pad for new knowledge, new collaborations, and cutting-edge new technologies that help solve real-world health challenges.
Our work as biomedical researchers is underpinned by our diverse, multidisciplinary training. With our groundbreaking technologies, innovative mindset, and visionary approach, we are transforming lives across Australia - advancing diagnosis, treatment, and ongoing care for those affected by debilitating illness or injury.
Research areas
Materials and Cell Technologies
Materials and Cell Technologies
We work at the interface of biology, materials science, and chemical engineering to expand our understanding of tissue and organ physiology, and to develop innovative biomaterials, devices, and cell-based technologies that enable advanced therapeutic treatments.
Bionics, Biomechanics and Biomechatronics
Bionics, Biomechanics and Biomechatronic
Combining expertise in biology, mechanical engineering and electrical engineering, we pioneer ground-breaking medical technologies, including wearable and implantable devices, prostheses, medical and surgical robots and instruments, and devices for human-machine interactions.
Digital Medicine and Digital Biology
Digital Medicine and Digital Biology
Harnessing the power of information and computer technologies, we cultivate new medical and biological methods and tools to support improvements in diagnosis, monitoring and treatment, and help unlock the potential of a more connected healthcare system.
Biosensing & Imaging
Biosensing & Imaging
We bring together experts in biophysics, chemical engineering and electrical engineering to work on projects that drive advances in diagnostic technology, resulting in earlier and more accurate detection of disease, and more effective treatments for patients.
Research impact
Cardiovascular health
Cardiovascular health
Biological and computational modelling underpin much of the recent innovation in cardiovascular health care, enabling more accurate diagnosis, better clinical decision-making, and more effective treatments. Research teams at the UNSW School of Biomedical Engineering (SBmE) are currently involved in various modelling projects.
Neurological health
Neurological health
Creating sophisticated models of neurological systems, either in the form of computer-based visualisations or lab-grown tissue samples, gives researchers the freedom to explore and test highly innovative interventions that may be life-changing for patients affected by nerve damage or disorders. Researchers at the UNSW School of Biomedical Engineering (SBmE) are benefitting from advanced modelling expertise in various projects.
Gut health
Gut health
Extraordinary innovations including cell therapy, nanoparticle drug delivery systems and AI-informed diagnostic tools are built on the foundations of cutting-edge computational and biological modelling capabilities. The UNSW School of Biomedical Engineering (SBmE) is contributing to developments in modelling that will underpin new diagnostic tools and treatments for patients affected by diseases of the gut, in various projects.
Human movement
Human movement
The emerging fields of computational and biological modelling make it possible for researchers and clinicians to test theories, explore innovations and trial new treatments faster and more precisely than ever before. The UNSW School of Biomedical Engineering (SBmE) is looking for ways to embed the benefits of modelling into routine clinical practice for conditions related to human movement.
Research facilities
Advanced Manufacturing, Electronics and Medical Device Prototyping Laboratories
Advanced Manufacturing, Electronics and Medical Device Prototyping Laboratories
We offer specialised equipment for designing, prototyping, and testing electronic and medical devices, including PCB manufacture, microfluidic production, and laser micromanufacturing. Our labs also support medical device validation with tools like oscilloscopes and climate chambers. For cardiovascular research, we provide systems for circulatory models and assistive devices, along with surgical robots, endoscopes, and imaging technologies for developing surgical procedures.
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Biologics and Biomaterials Synthesis and Characterisation Laboratories
Biologics and Biomaterials Synthesis and Characterisation Laboratories
Our facilities support research in molecular sciences, biotechnology, and biomaterials. We offer advanced tools for molecular research, including protein study, gene editing with CRISPR, and biosensing. Our biomaterials facilities support polymer synthesis, 3D printing, and tissue analysis. We also provide imaging, electrophysiology, and animal research facilities to advance preclinical studies and clinical applications.
Digital Technology Laboratories
Digital Technology Laboratories
Our facilities include software for computational modelling and data science, with access to big data resources like the UK Biobank. We specialise in telehealth and remote monitoring systems, as well as biomedical data analysis for personalised medicine. Our AI and machine learning capabilities focus on disease prediction, biosignal processing, and clinical decision support.
Human Movement Laboratories
Human Movement Laboratories
We use Vicon cameras and markerless motion capture to analyse movement in both lab and real-world settings. Our facilities integrate mobile devices and wearable sensors for enhanced data collection. We also offer VR/AR systems for rehabilitation research and high-density EMG equipment to study muscle activity and neuromuscular control.
Imaging and Biosignal Processing Laboratories
Imaging and Biosignal Processing Laboratories
We use advanced imaging systems for biomolecular analysis and disease detection, focusing on metabolic fingerprints. Our AI and machine learning tools support complex biosignal processing, including 3D imaging and heat maps. We also develop and characterise biosensors for disease biomarker detection and provide data acquisition services for medical image analysis using machine learning.