Dr Simon Williams

Academic Status

College of Science and Engineering

place Biological Sciences (4.08)
GPO Box 2100, Adelaide 5001, South Australia

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.

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
ENGR2711 Engineering Mathematics
ENGR2722 Analysis of Engineering Systems
MATH1702 Mathematics Fundamentals B
Topic lecturer
ENGR2722 Analysis of Engineering Systems
ENGR8722 Analysis of Engineering Systems GE
NMCY1001 Academic and Professional Numeracy
ENGR8761 Engineering Mathematics GE
ENGR2711 Engineering Mathematics
Supervisory interests
Applied mathematics
Artificial intelligence and image processing
Computer-aided mammography screening
High rate algal ponds
Higher degree by research supervision
Associate supervisor: Lithium Ion Battery Modelling (1), Analysis of textons (1), Automated Malaria diagnosis (1)
Associate supervisor: Risk Assesment for Screening Mammography (1)
Expert for media contact
Signal processing
Available for contact via
Or contact the media team
+61 8 82012092
0427 398 713
Media expertise
  • Mathematics
  • Signal processing

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