SPEAKER - Michael Small

Professor Michael Small

I am interested in applying mathematical and computational methods to a variety of physical and physiological systems.

My undergraduate degree was in pure mathematics (with an honours dissertation in the history of mathematics) and my graduate degree was in applied mathematics (nonlinear dynamical systems).

I have since moved through computational physics and spent more than 10 years working in an electronic and information engineering department.

My focus is now on understanding how structure, pattern and dynamics emerge from complex systems – particularly in engineering.

Specialties: Applied Mathematics: Nonlinear Time Series Analysis, Complex Systems, Chaos and Nonlinear Dynamics.

Data Intensive Science. Applications to engineering and biological systems.

 

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