Selected Publications


Rees, J., Fu, S. C., Lo, J., Sambell, R., Lewis J. R., Christophersen, C. T., Byrne, M. F., Newton, R. U., Boyle, S., Devine, A. (2022). How a 7-Week Food Literacy Cooking Program Affects Cooking Confidence and Mental Health: Findings of a Quasi-Experimental Controlled Intervention Trial, Frontiers in Nutrition, Volume 9, March.

Maisey, G., Cattani, M., Devine, A., Lo, J., Fu, S. C., Dunican, I. C. (2022). Digging for data: How sleep is losing out to roster design, sleep disorders, and lifestyle factors, Applied Ergonomics, Volume 99, February.

Reyes, A., Bartlett D. M., Rankin T. J., Zaenker P., Turner K., Teo W-P., Fu S. C., et al. (2021). Clinical Determinants of Dual Tasking in People With Premanifest Huntington Disease. Physical Therapy, January.

Baddeley, A., Brown, W., Milne, R. K., Nair, G., Rakshit, S., Lawrence, T., Phatak, A., Fu, S. C. (2020). Optimal thresholding of predictors in mineral prospectivity analysis. Natural Resources Research.

Trott, C. M., Fu, S. C., Murray, S. G., Jordan, C. H., Line, J. L. B., Barry, N., … Walker, M. (2019). Robust statistics towards detection of the 21 cm signal from the Epoch of Reionization. Monthly Notices of the Royal Astronomical Society, 486(4), 5766–5784.

Holden, E. J., Fu, S. C., Kovesi, P., Dentith, M., Bourne, B., & Hope, M. (2011). Automatic identification of responses from porphyry intrusive systems within magnetic data using image analysis. Journal of Applied Geophysics, 74(4), 255–262.

Fu, S. C., & Kovesi, P. (2010). Robust extraction of optic flow differentials for surface reconstruction. Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010, 468–473.

Holden, E. J., Kovesi, P., Dentith, M. C., Wedge, D., Wong, J. C., & Fu, S. C. (2010). Detection of regions of structural complexity within aeromagnetic data using image analysis. International Conference Image and Vision Computing New Zealand, 1–8.

Fu, S. C., & Milne, G. (2004). A Flexible Automata Model for Disease Simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3305, pp. 642–649).

“Don’t forget that statisticians are the free-est of all scientists - they can work on anything.”
– David R. Brillinger