Overview

Topic status: We're looking for students to study this topic.

In the sensitive environment of Australia, invasive species significantly threaten native fauna and flora and affect huge damages to a range of primary industries. Some well known examples are the cane toad (Buffo Marinus) invasion in Northern QLD, the recent Red Imported Fire Ant (RIFA) (Solenopsis Invicta) invasion in the Brisbane region, the Asian honey bee (Apis Cerana) invasions in Northern Australia as potential Varroa parasite (Varroa Destructor) carriers into Australian apiaries, grain beetles (Rizopertha) in grain stores, feral rabbit invasion in rural Southern states, locust, etc.This project will investigate computational statistical approaches to approximating the population dynamics of invasive species, and towards deriving effective control strategies.Students should be familiar with the Calculus and should have programming skill in C/C++ using gcc on Linux (Mac or other Unix-based OS). Students should be able to adapt quickly to using the Gnu Science Library (GSL) API, in particular, random number generators, probability distribution functions and the BLAS library.

Background information

For some more detailed background information on this topic please read an approximate Bayesian computation approach for estimating parameters of complex environmental processes in a cellular automata by Rune Rasmussen and Grant Hamilton.

Notes:

  • This project will involve collaboration with life science researchers in the Biogeosciences discipline of the Chemical, Earth and Life Sciences (CELS).
  • Master students should enrol in a 48cp research project for this topic (will not be accepting 24cp projects for this topic).
Study level
Masters, Honours
Supervisors
QUT
Organisational unit

Science and Engineering Faculty

Research areas
Keywords
bayesian methods, invasive specials, models, C, C++
Contact
Please contact supervisor for enquiries.