Exercise Sciences

Movement Neuroscience

Supervisor

Professor Winston Byblow

Discipline

Exercise Sciences

Project code: SCI118

©Winston Byblow

This exciting project is suitable for a student with an interest in, and aptitude for, movement neuroscience. The scholar will undertake this project in movement neuroscience, working alongside postgraduate and postdoctoral movement neuroscientists, in the Movement Neuroscience lab. This project is best suited for students who have successfully completed EXERSCI 305 – MOVEMENT NEUROSCIENCE.

Further details about this exciting project can be obtained by emailing Professor Byblow after Sept 15th.
 

Dietary Supplements and Brain Function During Hypoxia

Supervisor

Associate Professor Nicholas Gant

Discipline

Exercise Sciences

Project code: SCI119

No previous experience with specific techniques or laboratory skills is required, but candidates must be well-organised and able to work competently within a professional research environment.

Effects of exercise fatigue on visual function.

Supervisor

Associate Professor Nicholas Gant

Discipline

Exercise Sciences

Project code: SCI120

No previous experience with specific techniques or laboratory skills is required, but candidates must be well-organised and able to work competently within a professional research environment.

Project in Neuromechanics

Supervisor

Dr Angus McMorland

Discipline

Exercise Sciences

Project code: SCI121

This exciting project will explore an important issue in the field of neuromechanics, the nexus between computational neuroscience and biomechanics.

My research uses computational approaches to explore how the healthy brain controls movement, how that can be disrupted in disease, in particular after stroke, and how new technology can be applied to improve the quality of life of those with movement disorders. The recipient will work alongside postgraduate and postdoctoral movement neuroscientists in the Movement Neuroscience lab.

The project will best suit students with a demonstrated interest in at least some of the following: movement, neuroscience, quantitative analysis, and coding skills. Students who have completed EXERSCI 305 – MOVEMENT NEUROSCIENCE, EXERSCI 303 – BIOMECHANICS II, engineering, computer science or mathematics courses are particularly encouraged to apply. To discuss project specifics, please contact Dr McMorland in person.
 

Movement analysis and biomechanical simulation for children with cerebral palsy and equinus gait

Supervisor

Yanxin Zhang

Discipline

Exercise Sciences

Project code: SCI122

The main purposes of this project include: 1. Using biomechanical principles and methods to improve a portable clinical gait analysis & assessment tool; 2. Using medical images to create patient-specific musculoskeletal model and conduct neuromuscular modelling for surgical outcome prediction.
Required skills include basic knowledge of biomechanics, motion capture data processing, medical image processing, using Matlab for data organization and reduction.