Personal details

Name
Associate Professor Grant Hamilton
Position(s)
Associate Professor in Ecology
Science and Engineering Faculty,
Earth, Environmental and Biological Sciences,
Sustainable Environments
Discipline *
Ecological Applications, Environmental Science and Management, Agriculture, Land and Farm Management
Phone
+61 7 3138 2318
Fax
+61 7 3138 1535
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD LinkedIn
Qualifications

Doctor of Philosophy (Queensland University of Technology)

Professional memberships
and associations
  • Ecological Society of Australia
  • Modelling and Simulation Society of Australia and New Zealand
Keywords

Detection and Surveillance, agriculture, pests and diseases, crops, Spatial analytics, ecology, statistical modelling, Invasive Species, feral cats, foxes, wild dogs, goats, pigs, weeds, fungal pathogens, Panama disease, Unmanned Aerial Vehicles, RPAS, drones, UAVs and wildlife detection, UAVs and feral species, Thermal Imaging, high resolution imaging, artificial intelligence automated recognition of wildlife, Conservation Ecology, Conservation science, Ecological Analytics, Koalas, habitat, koala ecology, Agroecosystems, Pest and invasive species eradication

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

Research theme: Food, Environment, Health

Research discipline: Bioscience

Research area: Conservation and Agriculture using technology and advanced analytics

Studying the distribution, ecology, sampling and management pests of agricultural concern.

Projects include: Improving the sampling strategies for detection of pests of bulk stored gain; determining driving factors for rodent damage in Northern Queensland macadamia orchards; assessing the use of community reported data to discover the environmental drivers of wild rabbit distributions

Wild rabbit  disease dynamics – Spatially explicit modelling of wild rabbit (Oryctolagus cuniculus) populations and disease dynamics.

Exploring the dynamics of range expansions using novel quantitative tools. Range expansions are a fundamental process that invasive species undergo, however understanding , analysing and predicting range expansions across real landscapes presents enormous challenges. In this project, an Approximate Bayesian Computational approach is being used to analyse and predict the future expansions of a range of organisms including cane toads and Black Pine.
Areas of expertise:

  • Pest Modelling and Management
  • Risk analysis
  • Biological Invasions
  • Ecological Statistics
  • Ecological modelling.

Current grants:

  • 2007 – 2010: Rural Statistical Sustainability Framework. ARC Linkage
  • 2007 – 2009: Rigorous comparison of Risk Analysis Systems from other countries. Australian Centre for Excellence in Risk Analysis / CRC for National Plant Biosecurity
  • 2006 – 2007: Multidisciplinary risk in biological control QUT Internal
  • 2006 – 2007: Greywater perceptions QUT Internal.

Selected research projects:

  • Modelling spatial spread of invasive organisms
  • Approximate Bayesian Computation
  • Bayesian model averaging and decision analysis
  • Predictive modelling of coastal algal blooms
  • Bayesian Net modelling.
This information has been contributed by Associate Professor Grant Hamilton.

Teaching

BVB202: Quantitative methods and Experimental Design – unit coordinator and principal lecturer

BVB321: Invasion Ecology – unit coordinator and principal lecturer

This information has been contributed by Associate Professor Grant Hamilton.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.

Research projects

Grants and projects (Category 1: Australian Competitive Grants only)

Title
Growing Sustainable Regions: Developing a Rural Statistical Sustainability Framework
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP0776795
Start year
2008
Keywords
Sustainable Regions; Rural Sustainability; Regional Growth; Spatial Decision Support Systems; Economic Development; Decision Making

Supervision