Extreme Events and Critical Fluctuations in Generated Time Series Data

Critical fluctuations in complex dynamical systems have been studied in various contexts in order to both predict and better understand system behaviour prior to an observed phase transition. The aim and research of this project is to both define and identify in a dynamical systems context a measure of ‘extreme events’, which could correlate in the physical world to natural extreme phenomenon and are a particular kind of critical fluctuation.

Daniel Claassen

The University of Western Australia

Daniel Claassen is a prospective honours student currently studying at the University of Western Australia in Perth. While interested in fields across mathematics like group theory and geometry, his primary research interest is in complex systems and time series analysis. Daniel considers mathematical maturity a core tenet of good research and is always looking to learn from others in the field. With a clear focus on his skills in scientific communication, he hopes to convey his ideas in an agreeable and approachable manner.

You may be interested in

Jaco van Tonder

Jaco van Tonder

Special Solutions to the Ricci Flow on 4-Dimensional Principal Bundles
Brenton Horne

Brenton Horne

Investigating spontaneous symmetry breaking of spatial Kerr solitons in fractional spatial dimensions using Fourier spectral methods.
Mikaela Westlake

Mikaela Westlake

Capturing the impact of patient variability in a novel cancer treatment using Bayesian inference
Wilson Lorensyah

Wilson Lorensyah

Robust Adjustments To Random Effects Models for Dispersed Coun
Contact Us

We're not around right now. But you can send us an email and we'll get back to you, asap.

Not readable? Change text.