Professor Guy Wallis

Professor

School of Human Movement and Nutrition Sciences
Faculty of Health and Behavioural Sciences
gwallis@uq.edu.au
+61 7 336 56108

Overview

Prof. Guy Wallis studies visual recognition and visuomotor behaviour. His investigations combine computational modelling with data drawn from behavioural studies. Many of these behavioural studies are conducted in computer-controlled, virtual environments.

Guy holds an undergraduate degree in Electrical and Electronic Engineering (Imperial College, London) and a PhD in Visual Neuroscience (Oxford University, UK). He joined the School of Human Movement and Nutrition Sciences in 1998 after a three year period as a Visiting Research Fellow at the Max Planck Institute for Biological Cybernetics in Germany. His research has been funded by the Australian Research Council, the Human Frontier Science Program, and the Wellcome Trust, as well as through industry partnerships with the Queensland Construction Training Centre, the Australian Coal Association Research Program, Queensland Health, the US Air Force and Boeing.

  • ARC Medical Research Advisory Group (2022-2024)
  • Elected Fellow of the Queensland Academy of Arts and Sciences (2022)
  • ARC College of Experts (2019-2021)
  • CSIRO CSS Human Research Ethics Committee member (2020-2022)
  • UQ Health and Behavioural Sciences Faculty, HDR Supervision Award (2018)
  • ARC Future Fellowship (2011-2014)
  • ARC QEII Fellowship (2003-2007)
  • UQ Postdoctoral Fellowship (2001-2003)

Research Interests

  • Object recognition
  • Visuomotor control
  • Virtual environments
  • Simulator-based training
  • Visual neuroscience

Research Impacts

Prof. Wallis' scientific investigations have had a lasting impact on the understanding of how visual recognition is achieved in biological systems and has challenged thinking on how everyday visuomotor tasks are regulated.

His applied work, in partnership with industry and health services, has established novel training programs for health professionals learning advanced surgical skills, has impacted the design of man-machine interfaces for underground and surface mining equipment, and has helped set the design parameters for equipment intended for training pilots using head-mounted display technology.

Qualifications

  • Doctor of Philosophy, University of Oxford
  • Bachelor (Honours) of Engineering, Imperial College London

Publications

View all Publications

Supervision

View all Supervision

Publications

Book Chapter

  • Coelho, C., Tichon, J G, Hine, T.J., Wallis, G and Riva, G. (2006). Media presence and inner presence: The sense of presence in virtual reality technologies. From Communication to Presence. (pp. 25-45) edited by G. Riva, M.T. Anguera, B.K. Wiederhold and F. Mantovani. Amsterdam: IOS Press.

  • Wallis, Guy and Bülthoff, Heinrich (2002). Learning to recognize objects. Perceptual Learning. (pp. xx-xx) edited by M. Fahle and T. Poggio. Cambridge, MA, United States: MIT Press.

  • Wallis, G. and Bülthoff, H. H. (2002). Object Recognition, Neurophysiology. The Handbook of Brain Theory and Neural Networks. (pp. 792-796) edited by Michael A. Arbib. Cambridge, Mass, USA: MIT Press.

  • Wallis, G. (2000). Time to learn about objects. Information Theory and the Brain. (pp. 139-163) edited by R. Baddeley, P. Hancock and P. Foldiak. Cambridge, UK: Cambridge University Press.

Journal Article

Conference Publication

Other Outputs

  • Louiset, Lionel and Wallis, Guy (2023). Experiments conducted with a joystick.. The University of Queensland. (Dataset) doi: 10.48610/626ba74

  • Parker, Amira, Wallis, Guy, Obergrussberger, Rainer and Siebeck, Ulrike (2020). Categorical Perception. The University of Queensland. (Dataset) doi: 10.14264/uql.2020.641

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

Completed Supervision