Personal details

Associate Professor Paige Little
Principal Research Fellow
Faculty of Engineering,
School of Mech., Medical & Process Engineering
IHBI Membership
Institute of Health Biomedical Innovation (IHBI),
IHBI Science and Engineering Projects,
IHBI Chem Physics Mech Engineering - IPTM
Discipline *
Biomedical Engineering
+61 7 3069 7325
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Identifiers and profiles

Doctor of Philosophy (Biomedical Engineering) (Queensland University of Technology)

Professional memberships
and associations

Spine Society of Australia

AO Spine


Computational biomechanics, finite element analysis, mathematical modelling, spine biomechanics, hip, cancer mechano-biology

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008


Associate Professor Little is a Principal Fellow in Spine Research with the Biomechanics and Spine Research Group, a collaborative research group with members from both QUT and the Queensland Children’s Hospital in Brisbane. She leads the Spine Group, based at the Centre for Children’s Health Research.

Assoc/Prof Little’s expertise is in computational modelling for biomedical applications and she has extensive experience in the application of engineering and mathematical simulation techniques, modelling of physiological systems and mechanical characterization of spine biomechanics.  Her skills are broadly in the use of 3D simulation, finite element modelling, non-invasive patient imaging, and advanced manufacturing to develop fundamental understanding of spine biomechanics and to design bespoke solutions for individual patients (particularly paediatric) with spinal deformity.

Assoc/Prof Little’s research is in the field of Biomedical Engineering, with specific interest in:

  • Application of finite element modelling and development of custom-code to simulate patient-specific anatomy and biomechanics, for planning surgery and to improve fundamental understanding of spine treatments.
  • Use of non-invasive imaging and assessment methods to create an integrated and measurable representation of an individual patient’s external cosmesis and internal anatomy. This integrated approach is applied to assist surgeons in treatment planning.
    • Imaging includes: 3D surface scanning, 3D clinical image reconstructions (MRI, CT, biplanar imaging from EOS), 3D image registration/processing
    •  Assessment methods include: pressure mapping, surface deformation mapping
  • Development of new virtual workflows, and additive manufacturing specifications to develop externally fitted orthoses for treating patients with deformity
  • Development of advanced virtual design and manufacturing methods to create custom solutions to improve patient care
This information has been contributed by Associate Professor Paige Little.


For more publications by this staff member, visit QUT ePrints, the University's research repository.