Teaching interests

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

Topic Coordinator:

• MATH1701  Fundamentals of Mathematics A
• MATH1712  Elements of Mathematics

Topic Lecturer:

• MATH1701  Fundamentals of Mathematics A
• MATH1702  Fundamentals of MathematicsB
• MATH1712  Elements of Mathematics

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);

• 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]

• 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.

• 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. [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.

• 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]

Show all publications

• 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]

• 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.

• 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. [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.

• 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. [DOI: 10.1109/ISI.2008.4565083]

Show selected publications

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.