Several of the School's PhD students - Isaac Donnelly, Nick Fewster, Francis Hui and Robyn Stuart - participated in the 2013 Postgraduate Research Competition yesterday. The competition was a main component of this year's Science Student Research Expo in the Scientia.

The competition was based upon a 200 word abstract, a poster, and a one minute presentation outlining the key points of the students' work. An open poster viewing which preceeded the presentations attracted a sizeable crowd.

Our students delivered engaging presentations, with Nick displaying some impressive theatrics on stage.

Despite their brilliant work, unfortunately our students didn't take home any prizes. The winning entrants took home cash prizes of up to $5,000 each.

An album of photos from the event can be viewed on the School's Facebook page.

Isaac DonnellyNick Fewster

How the network gets its spots

Due to the discrete nature of networks, many results from the continuum break down due to the lack of a spatial derivative (i.e.: diffusion). We have derived analogous results for the network and show how these can help to analyse patterns on networks which may help to predict the spread of global epidemics as well as Alzheimer's Disease.


Differential equations: A $1,000,000 prize

Who wants to win a million dollars?

The poster outlines that the existence of solutions to differential equations play a vital role in the modeling of many dynamical systems important to everyday life. In particular, the Navier-Stokes equation is of immense importance, such that the existence of solution(s) to it is worth $1,000,000.

Francis Hui's poster

Robyn Stuart's poster


Similarities Attract: A New Tool to Model how Ecological
Communities Respond to the Environment

My poster provided a visual crash course on Species Archetype Models (SAMs), a new statistical technique for modeling ecological communities which I have been working on in my PhD. My poster explained the intuition behind SAMs, and how it can overcome the problems associated with trying to model big fat multi-species datasets.

 

Sorting through garbage: Classifying oceans by their garbage patches

It's known that the global surface ocean contains attracting regions, such as the major ocean gyres and the associated great garbage patches. What's less well known is the extents of the basins of attraction of these regions, and how strongly attracting they are. By calculating the probability of being absorbed into one of these regions, we can get a better understanding of how well-connected different regions of the surface ocean are.