Guy Wallis, PhD

BEng(Imperial College, London), PhD(Oxford)
  • Chair of the Ethical Review Committee

Contact details

Room: 427a, level 4, School of Human Movement Studies building (26B)
Phone: (+61) 7 3365 6108
Fax: (+61) 7 3365 6877

Personal pages:


Guy Wallis is an Associate Professor based in the School of Human Movement and Nutrition Sciences.He has a background in electronic engineering and neural networks (from the University of London) combined with a PhD in visual neuroscience from Oxford. He joined the School in 1998 after a three year period as a visiting Research Fellow at the Max Planck Institute for Biological Cybernetics in S.W. Germany. Whilst in Germany, Dr Wallis developed his interest in the human visual system by using virtual, computer generated worlds and since his arrival has established a virtual environments lab within the School. His research work and infrastructure to support it, has been funded by the Australian Research Council and the Motor Accident Insurance Commission.

Dr Wallis is a former ARC Future Fellow (2011-2014) and QEII Research Fellow (2003-2007), and was the recipient of a UQ Foundation Research Excellence Award (2003).

Research Interests

In order to interact effectively with our environment humans must be able to represent and recognise objects. Dr Wallis' research aims to bring his formal training in computer graphics, neural networks and systems engineering to the field of visual neuroscience, in an attempt to better understand how recognition takes place and representations are built. He has made extensive use of behavioural studies conducted in virtual worlds to test and inspire theories emerging from his theoretical and network simulation work. Specific interests include the perception and representation of object location, object representation and recognition. Dr Wallis has also collaborated on several visuo-motor control projects concerned with vehicle control.

Key Research Projects

For more information about Guy Wallis' research projects, see the Centre for Sensorimotor Performance (CSP) 


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