Position/s

Research Associate
School of Computer Science, Engineering and Mathematics

Biography

I was born in Germany while my father was on sabbatical there, but grew up in Melbourne and then Adelaide, where I did my undergraduate studies in Mathematical Physics and Pure Mathematics. I went to Oxford to do graduate study with Roger Penrose on general relativity and conformal field theory (although both of these reduce to differential equations if you stare at them hard enough!) Since my return to Australia I've lectured at Adelaide University, worked as a radar signal processor at DSTO, and bayesian analyst at CSIRO before joining CSEM to work on iterative optimization of parametric bayesian models for medical image analysis. Since then I have also found fun people to work on mathematical models of high-rate algal ponds and lithium polymer batteries.

Qualifications

B.Sc (Adel) D. Phil. (Oxon)

Honours, awards and grants

1990 Kobe Steel Scholarship to St Catherines College, Oxford
2012 Finalist Early Career STEM Educator of the Year (Tertiary Teaching), Science Excellence Awards SA

Teaching interests

Electronic Assesment for 1st year MATH topics
CSEM Student Study Support
Teaching Creativity
Indigenisation of the Science and Engineering curriculum.

Topic Coordinator:

Topic Lecturer:

Research expertise

  • Applied mathematics
  • Artificial intelligence and image processing
  • Mathematical physics
  • Mathematics sciences
  • Theoretical and computational chemistry
  • Water contaminant remediation

Research interests

  • Bayesian statistical models of things you didn't think there were Bayesian statistical models of
    • images
    • computer interfaces
    • people using computer interfaces
  • Image and signal processing
    • radars
    • medical images
  • Mathematical Physics
    • informational quantum mechanics
    • quantum field theories

Supervisory interests

  • Applied mathematics
  • Artificial intelligence and image processing
  • Computer-aided mammography screening
  • High rate algal ponds

RHD research supervision

Current

Associate supervisor : Risk assessment for screening mammography (1) ; Automated Malaria diagnosis (1) ;

Publications

  • Williams, S. and Bottema, M. (2012). Additive Dirichlet models for projectional images. In Proceedings of SPIE. Medical Imaging 2012: Image Processing.
    [10.1117/12.911862]
  • Bottema, M., Bajger, M., ma, F. and Williams, S. (2011). Mathematics in medical image analysis: a focus on mammography. In Proceedings of the 6th SEAMS-GMU International Conference on Mathematics and Applications. 6th SEAMS-GMU Conference.
  • McMichael, D., Raymond, F., Williams, S. and Jarrad, G. (2008). Sem@ntica: A system for semantic extraction and logical querying of text corpora. In Proceedings of the 2008 IEEE International Conference on Intelligence and Security Informatics. IEEE, Inc.. 2008 IEEE International Conference on Intelligence and Security Informatics. Taipei, Taiwan. Jun 2008, pp. 277-278.
    [10.1109/ISI.2008.4565083]
  • Li, X., Williams, S. and Bottema, M.J. (2012). Intensity independent texture analysis in screening mammograms. In ADA Maidment, PR Bakic & S Gavenonis, ed. Breast Imaging: 11th International Workshop Proceedings. Heidelberg, Germany: Springer. IWDM 2012. Philadelphia, USA. Jul 2012, pp. 474-481.
    [10.1007/978-3-642-31271-7_61]
  • Bottema, M., Bajger, M., Williams, S. and Ma, F. (2012). Mathematics in medical image analysis: a focus on mammography. In W Wahyuni, IE Mijayanti & D Rosadi, ed. Proceedings of the 6th SEAMS-GMU International Conference on Mathematics and Its Applications. Yogyakarta, Indonesia: Universitas Gadjah Mada. Mathematics and Its Applications in the Development of Sciences and Technology. Yogyakarta, Indonesia. Jul 2011, pp. 51-64.
  • Li, X., Williams, S., Lee, G. and Deng, M. (2012). Computer-aided mammography classification of malignant mass regions and normal regions based on novel texton features. In CC Cheah, D Sun, Y Hong, S Li, K-A Toh & J Wang, ed. 12th International Conference on Control, Automation, Robotics and Vision. Piscataway, USA: IEEE. ICARV 2012. Guangzhou, China. Jul 2012, pp. 1431-1436.
    [10.1109/ICARCV.2012.6485399]
  • Bajger, M., Ma, F., Williams, S. and Bottema, M.J. (2010). Mammographic mass detection with statistical region merging. In Proceedings: DICTA 2010. USA: IEEE. Digital Image Computing: Techniques and Applications. Sydney, NSW. Dec 2010, pp. 27-32.
  • Ma, F., Bajger, M., Williams, S. and Bottema, M.J. (2010). Improved detection of cancer in screening mammograms by temporal comparison. In Joan Marti, Arnau Oliver, Jordi Freixenet, Robert Marti, ed. Lecture Notes in Computer Science: Digital Mammography IWDM 2010. Germany: Springer-Verlag Berlin. International Workshop on Digital Mammography. Girona, Spain. Jun 2010, pp. 752-759.
  • Williams, S. and McMichael, D. (2008). Operator Situation Awareness Monitoring in the Cognisant Control Room. In W Koch and P Willett, ed. Proceedings of the 11th International Conference on Information Fusion. Piscataway, USA: IEEE, Inc.. 11th International Conference on Information Fusion. Koln, Germany. Jul 2008, pp. 462-469.
    [Web Link]
  • McMichael, D., Jarrad, G., Williams, S. and Kennett, M. (2004). Modelling, simulation and estimation of situation histories. In Proceedings of the Seventh International Conference on Information Fusion. Seventh International Conference on Information Fusion.
  • Li, X., Williams, S. and Bottema, M. (2014). Texture and region dependent breast cancer risk assessment from screening mammograms. Pattern Recognition Letters, 36(15) pp. 117-124.
    [10.1016/j.patrec.2013.10.001]
  • Li, X., Williams, S. and Bottema, M. (2013). Background intensity independent texture features for assessing breast cancer risk in screening mammograms. Pattern Recognition Letters, 34(9) pp. 1053-1062.
    [10.1016/j.patrec.2013.01.031]
  • Li, X., Williams, S. and Bottema, M. (2013). Constructing and applying higher order textons: Estimating breast cancer risk. Pattern Recognition Letters, 47(3) pp. 1375-1382.
    [10.1016/j.patcog.2013.09.033]
  • McMichael, D., Jarrad, G., Williams, S. and Kennett, M. (2009). Force deployment analysis with generalized grammar. Information Fusion, 10(1) pp. 51-69.
    [10.1016/j.inffus.2008.05.008] [10.1016/j.inffus.2008.05.008] [Scopus]
  • Steel, D., taffe, L. and Williams, S. (1989). Short-period comet production in close encounters with Jupiter. Proceedings of the Astronomical Society of Australia, 8 pp. 108.
  • Bottema, M., Bajger, M., Williams, S. and Ma, F. (2012). Mathematics in medical image analysis: a focus on mammography. In W Wahyuni, IE Mijayanti & D Rosadi, ed. Proceedings of the 6th SEAMS-GMU International Conference on Mathematics and Its Applications. Yogyakarta, Indonesia: Universitas Gadjah Mada. Mathematics and Its Applications in the Development of Sciences and Technology. Yogyakarta, Indonesia. Jul 2011, pp. 51-64.
  • Li, X., Williams, S. and Bottema, M.J. (2012). Intensity independent texture analysis in screening mammograms. In ADA Maidment, PR Bakic & S Gavenonis, ed. Breast Imaging: 11th International Workshop Proceedings. Heidelberg, Germany: Springer. IWDM 2012. Philadelphia, USA. Jul 2012, pp. 474-481.
    [10.1007/978-3-642-31271-7_61]
  • Li, X., Williams, S., Lee, G. and Deng, M. (2012). Computer-aided mammography classification of malignant mass regions and normal regions based on novel texton features. In CC Cheah, D Sun, Y Hong, S Li, K-A Toh & J Wang, ed. 12th International Conference on Control, Automation, Robotics and Vision. Piscataway, USA: IEEE. ICARV 2012. Guangzhou, China. Jul 2012, pp. 1431-1436.
    [10.1109/ICARCV.2012.6485399]
  • Bajger, M., Ma, F., Williams, S. and Bottema, M.J. (2010). Mammographic mass detection with statistical region merging. In Proceedings: DICTA 2010. USA: IEEE. Digital Image Computing: Techniques and Applications. Sydney, NSW. Dec 2010, pp. 27-32.
  • Ma, F., Bajger, M., Williams, S. and Bottema, M.J. (2010). Improved detection of cancer in screening mammograms by temporal comparison. In Joan Marti, Arnau Oliver, Jordi Freixenet, Robert Marti, ed. Lecture Notes in Computer Science: Digital Mammography IWDM 2010. Germany: Springer-Verlag Berlin. International Workshop on Digital Mammography. Girona, Spain. Jun 2010, pp. 752-759.
  • Li, X., Williams, S. and Bottema, M. (2014). Texture and region dependent breast cancer risk assessment from screening mammograms. Pattern Recognition Letters, 36(15) pp. 117-124.
    [10.1016/j.patrec.2013.10.001]
  • Li, X., Williams, S. and Bottema, M. (2013). Background intensity independent texture features for assessing breast cancer risk in screening mammograms. Pattern Recognition Letters, 34(9) pp. 1053-1062.
    [10.1016/j.patrec.2013.01.031]
  • Li, X., Williams, S. and Bottema, M. (2013). Constructing and applying higher order textons: Estimating breast cancer risk. Pattern Recognition Letters, 47(3) pp. 1375-1382.
    [10.1016/j.patcog.2013.09.033]
  • McMichael, D., Jarrad, G., Williams, S. and Kennett, M. (2009). Force deployment analysis with generalized grammar. Information Fusion, 10(1) pp. 51-69.
    [10.1016/j.inffus.2008.05.008] [10.1016/j.inffus.2008.05.008] [Scopus]
  • Steel, D., taffe, L. and Williams, S. (1989). Short-period comet production in close encounters with Jupiter. Proceedings of the Astronomical Society of Australia, 8 pp. 108.

Professional and community engagement

Judging the Maths and Engineering Challenge in Tournament of the Minds since 2010.
Secretary of the Australian Pattern Recognition Society
Committee Member of the South Australian Branch of the Australian and New Zealand Industrial and Applied Mathematics Society.

Expertise for media contact

Subject Titles

  • Mathematics
  • Signal processing

Contact

Add to address book
Phone: +61 8 82012037
Email:
Location: Information, Science & Technology (224)
Postal address: GPO Box 2100, Adelaide 5001, South Australia
MACO login

inspiring achievement