Stephen is broadly interested in the mathematical modeling of vector-borne and zoonotic diseases, with 10 years full-time research experience in theoretical and applied epidemiology. He has worked on the following specific disease systems: sylvatic plague (Yersinia pestis infection in wild animals) in Kazakhstan; bubonic plague (Yersinia pestis infection in humans arising from a flea bite) in Tanzania; Lyme disease in North America; African sleeping sickness in Uganda; the sylvatic cycle of Echinococcus multilocularis in Europe; and rabies in Tanzania.
His areas of expertise include the mathematical modeling of infectious disease, complex networks, theoretical population biology, and biometrics. He has a developing interest in the use of graphs and networks in pattern recognition, with applications in automatic biometric authentication and identification systems.
Stephen has co-authored a small text book, together with Dr Steven Barry, that is designed to help undergraduate students of mathematics master (and remember) skills that lecturers typically assume the students retain from either high-school or previous courses.
Barry, S. I. and Davis, S. Essential Mathematical Skills. UNSW Press, Sydney.
- AMSI AGR Honours Course – Complex Networks (2012, 2013)
- MATH2163 – Mathematics for Surveying and Geomatics A (2012, 2013)
- MATH2164 – Mathematics for Surveying and Geomatics B (2011)
- 1994 – BSc. (Hons) Mathematics, University of Melbourne.
- 1996 – Grad. Dip. Education, University of Canberra.
- 2000 – Ph. D. in Applied Mathematics, University of New South Wales.
Stephen is a Senior Lecturer in Mathematics. He began his career at CSIRO, Division of Wildlife and Ecology, and then spent 8 years in Europe and the USA as a postdoctoral scientist before returning to Australia late in 2009.
He has spent time at the Department of Biology at the University of Antwerp (Belgium), the School of Veterinary Science in Utrecht University (The Netherlands) and the School of Population Health at Yale University (USA).
He has first-author publications in Nature and Science.
- Johnstone-Robertson, S.,Fleming, P.,Ward, M.,Davis, S. (2017). (In Press) Predicted spatial spread of canine rabies in Australia In: PLOS Neglected Tropical Diseases, 11, 1 - 21
- Wangari, I.,Davis, S.,Stone, L. (2016). Backward bifurcation in epidemic models: Problems arising with aggregated bifurcation parameters In: Applied Mathematical Modelling, 40, 1669 - 1675
- Kotzerke, J.,Hao, H.,Davis, S.,Hayes, R.,Spreeuwers, L.,Veldhuis, R.,Horadam, K. (2016). Identification performance of evidential value estimation for ridge-based biometrics In: EURASIP Journal on Information Security, 2016, 1 - 10
- Arakala, A.,Davis, S.,Hao, H.,Horadam, K. (2016). Value of graph topology in vascular biometrics In: IET Biometrics, , 1 - 12
- Arakala, A.,Hao, H.,Davis, S.,Horadam, K. (2015). The Palm Vein Graph: Feature Extraction and Matching In: 1st International Conference on Information Systems Security and Privacy (ICISSP 2015), Rome, Italy, 19-21 February 2016
- Kotzerke, J.,Davis, S.,Hayes, R.,Spreeuwers, L.,Veldhuis, R.,Horadam, K. (2015). Discriminating fingermarks with evidential value for forensic comparison In: Proceedings of the 3rd International Workshop on Biometrics and Forensics (IWBF 2015), Gj�vik, Norway, 3-4 March 2015
- Magalingam, P.,Davis, S.,Rao, A. (2015). Using shortest path to discover criminal community In: Digital Investigation, 15, 1 - 17
- Brookes, V.,Jordan, D.,Davis, S.,Ward, M.,Heller, J. (2015). Saltelli global sensitivity analysis and simulation modelling to identify intervention strategies to reduce the prevalence of Escherichia coli O157 contaminated beef carcasses In: PLoS ONE, 10, 1 - 22
- Arakala, A.,Hao, H.,Davis, S.,Horadam, K. (2015). The Palm Vein Graph for Biometric Authentication In: Information Systems Security and Privacy, Springer, Switzerland
- Kotzerke, J.,Davis, S.,Hayes, R.,Spreeuwers, L.,Veldhuis, R.,Horadam, K. (2015). Identification performance of evidential value estimation for fingermarks In: Proceedings of the 14th International Conference of the Biometrics Special Interest Group (BIOSIG 2015), Darmstadt, Germany, 9-11 September 2015
- Novel Dissimilarity Techniques for Characterising Noisy Spatial Networks. Funded by: ARC Discovery 2012 from (2012 to 2014)
- Babesiosis Emergence in the United States. Funded by: National Institute of Health Research Project Grant 2015 from (2012 to 2017)
- Happy Feet: Novel footprint recognition to support childhood vaccination. Funded by: Gates Foundation Grant pre-2014 from (2011 to 2013)
- Advances in the prediction of plague outbreaks in Central Asia. Funded by: Wellcome Trust International Collaborative Research Grant pre-2014 from (2010 to 2013)
3 PhD Completions3 PhD Current Supervisions