About

Ron White is Node Director and Chief Investigator in the ARC Centre of Excellence for Antimatter-Matter Studies (CAMS).  He is Theme 3 Leader within CAMS focussed on the application of positrons in biology and medicine.    

More broadly Ron White's group is focussed on the modelling and simulation of non-equilibrium transport processes of charged particles in gases, soft-condensed and disordered materials. 

Ron is also a member of the Rapid Assessment Joint Venture between JCU and DAAF (formerly Department of Primary Industries) focussed on the non-invasive assessment of food qualilty and security. 

Teaching
  • PH2002: Classical Mechanics and Quantum Physics 1 (Level 2; TSV)
  • PH3008: Statistical Mechanics and Transport (Level 3; CNS & TSV)
  • PH5010: Directed Study (Level 5; TSV)
  • PH5020: Special Study A (Level 5; TSV)
  • PH5021: Special Study B (Level 5; TSV)
  • PH5022: Special Study C (Level 5; TSV)
Interests
Research
  • Charge transport in organic materials for application in organic opto-electronics and organic solar cells.
  • Modelling of Positron Emission Tomography
  • Modelling radiation damage from ionizing radiation
  • Low-temperature plasma discharge modelling and plasma accelerators
  • Swarm physics
  • NIR spectroscopy for food quality and security
Research Disciplines
Socio-Economic Objectives
Publications

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles
More

ResearchOnline@JCU stores 182+ research outputs authored by Prof Ron White from 2000 onwards.

Current Funding

Current and recent Research Funding to JCU is shown by funding source and project.

Australian Research Council - Linkage - Industrial Transformation Research Hubs

ARC Research Hub for Supercharging Tropical Aquaculture Through Genetic Solutions

Indicative Funding
$5,014,503 over 4 years, in partnership with Australian Genome Research Facility ($150,000); Cygnet Bay Pearls PL ($500,000); Mainstream Aquaculture ($500,000); Sea Forest Pty Ltd ($500,000); Seafarms ($500,000) and THE COMPANY ONE PTY LTD ($500,000)
Summary
This project aims to integrate cutting edge genetic and genomic approaches into innovative aquaculture enterprises that farm in tropical northern Australia. It will deliver the requisite genetic knowledge to instigate world-leading and highly productive breeding programs for five species (barramundi, pearl oyster, prawn, grouper and marine seaweed), along with a novel understanding of the genetic basis of disease resistance and how the production environment interfaces with the bacterial microbiome, pathogens and water quality to cause disease. It will increase Australia's capacity to deliver advanced genetics outcomes to the aquaculture sector, while increasing productivity, international competitiveness, and lowered risk due to disease.
Investigators
Dean Jerry, Kyall Zenger, Benjamin Hayes, Rocky de Nys, David Bourne, Andreas Lopata, Ron White, Jan Strugnell, Chaoshu Zeng, Kelly Condon, Mostafa Rahimi Azghadi, Ira Cooke and Leo Nankervis (College of Science & Engineering, The University of Queensland, College of Public Health and Medical & Vet Sciences)

Food Agility CRC Limited - Contract Research

Food Agility Biosecurity Constellation

Indicative Funding
$210,000 over 3 years
Summary
Constellations are clusters of projects grouped within a theme, Biosecurity, which are led by a Constellation Leader, JCU, who also has the experience and capabilities to contribute to the research within that theme. A Constellation has been between Food Agility and JCU based on a theme which demonstrates potential for multiple, related research projects with the potential for multiple industries and partners to participate over time.
Investigators
Davi La Ferla, Ron White and Yvette Everingham (College of Science & Engineering)
Keywords
Biosecurity; Environmental Health; Environmental management; Disease; Public Health; Invasives

Great Barrier Reef Foundation - Reef Trust Partnership

Reducing herbicide usage in the Burdekin and Proserpine reef catchment areas with precise robotic weed control in sugarcane

Indicative Funding
$400,000 over 2 years, in partnership with Autoweed Pty Ltd ($10,000)
Summary
The main objective of this project is to develop and build the world?s first robotic platform for selective weed control in sugarcane. Specifically, we aim to retrofit two 12-metre sugarcane booms for farmers in the Burdekin and Proserpine GBR catchment areas with state-of-the-art deep learning detection and spraying technology. The fundamental aim of this project is to significantly minimise the herbicide usage by selective spot spraying. We have set a target to reduce the knockdown herbicide usage on the chosen farms by 80% compared to the traditional blanket spraying that is performed during various stages of the crop cycle.
Investigators
Mostafa Rahimi Azghadi, Ron White, Bronson Philippa, Brendan Calvert, Alex Olsen, Emilie Fillols, Molly O'Dea, Ross Marchant and jake Woods (College of Science & Engineering, Autoweed Pty Ltd and Sugar Research Australia)
Keywords
precision agriculture; Deep Learning; automatic weed control; Robotic; weed management

Australian Research Council - Discovery - Projects

Positrons in biosystems

Indicative Funding
$185,090 over 3 years (administered by Australian National University)
Summary
This project aims to improve our understanding of the damage processes in Positron Emission Tomography (PET). PET is a widely used medical imaging technique, but there are gaps in our understanding of the underlying interactions, in particular in the case of the radiation damage induced during the process. By using new models incorporating accurate descriptions of interactions processes, verified by experimental measurement, this project will develop a new model of positron transport in PET. The project will allow validation of predictions from the model by undertaking experiments in liquid water.
Investigators
James Sullivan, Ron White, Michael Brunger, Daniel Cocks and Joshua Machacek in collaboration with Gustavo Garcia and Jimena Gorfinkiel (Australian National University, College of Science & Engineering, Flinders University, Spanish National Research Council and The Open University (UK))
Keywords
positrons; Transport; biological matter

Australian Government Department of Agriculture, Water and the Environment - National Landcare Programme

Applying new image recognition techniques for automatic detection and spraying of Harrisia cactus

Indicative Funding
$50,000 over 2 years
Summary
harrisia cactus is a significant rangeland weed in Queensland and bnorthern NSW. It competes against native species, inhibits stock accdess and endangers wildlife. JCU have developed image recognition software to identify Harrisia cactus in pasture; which has been deployed on a prototype robotic platform for selective spot spraying. This proect will see the development of a new spraying unit incorporating JCU's developed technology with a vehicle provided by Warrakirri Cropping. The unit will then be used to treat 500 ha of infested pasture at Warrakirri's "Willaroo" property. Its performance will be compared to traditional methods and showcased to local landholders.
Investigators
Mostafa Rahimi Azghadi, Brendan Calvert, Ron White and James Whinney in collaboration with Bill Manning, Matt West and Alex Olsen (College of Science & Engineering, North West Local Land Services, Warrakirri Cropping and Autoweed Pty Ltd)
Keywords
weed control; Harrisia cactus (sp.); deep learning; Robotics

CRC for Developing Northern Australia Scheme - Projects

Applying new technologies to enhance biosecurity and cattle quality.

Indicative Funding
$1,084,500 over 3 years (administered by Branir Pty Ltd & Trustee for Booloomani Unit Trust)
Summary
The vast natural environment of Northern Australia feeds the cattle industry; however, biosecurity threats have negatively impacted this. Conventional management of such threats such as weeds are not suited to such broad, harsh landscapes. The project will use an Internet of Things network with low-cost environmental sensors, drone mapping and big data analytics to develop and test data-driven, strategic pest management programs - ultimately improving both cattle industry and natural assets.
Investigators
Ian Atkinson, Wei Xiang, Ron White, Stephanie Duce, Mohan Jacob and Karen Joyce (Research Infrastructure and College of Science & Engineering)
Keywords
Biosecurity; Cattle; Drones; Weeds; Technology; Internet Of Things

Australian Research Council - Discovery - Projects

Electron scattering and transport for plasma-liquid interactions

Indicative Funding
$595,120 over 3 years
Summary
The project addresses the emerging technologies associated with the interaction of plasmas with liquids and biological matter, including plasma medicine. The project expects to generate new knowledge on the role of electron-induced processes through the development of complete and accurate sets of microscopic cross- sections for electrons with biomolecules within tissue. This microscopic data will inform new microscopic models for non equilibrium electron transport in liquids and biological matter, and its coupling to plasmas. The expected outcomes of this project include progress towards the optimization of safety/efficacy of future generation plasma medicine devices through detailed understanding of plasma-biological tissue interactions.
Investigators
Ron White and Michael Brunger in collaboration with Zoran Petrovic and Jaime de Urquijo (College of Science & Engineering, Flinders University, Univerzitet u Beogradu and Universidad Nacional Autonoma de Mexico)
Keywords
plasma medicine; Transport Theory; scattering

Australian Government Department of Agriculture, Water and the Environment - Control Tools and Technologies for Established Pest Animals and Weeds Programme

Improving the accuracy of weed killing robots with new image processing algorithms and near infra-red spectroscopy techniques

Indicative Funding
$271,772 over 2 years
Summary
Automated weed species recognition remains a major obstacle to the development and industry acceptance of robotic weed control technology. Particular problems occur in rangeland applications, including high light variability and weed-camera distance variability, which cause camera dynamic range problems, image blurring, and occlusion by other plants. This project aims to develop robust image recognition systems combined with Near Infra-Red spectroscopic methods for these complex rangeland environments with special emphasis on the broad-acre grazing pastures in North Queensland. The developed imaging systems will be suitable for all weed killing applications with particular emphasis given to foliar spot-spraying and Herbicide Ballistic Technologies.
Investigators
Ron White, Bronson Philippa, Alex Olsen and Owen Kenny in collaboration with Brett Wedding, Michael Graham, Carole Wright and Stephen Grauf (College of Science & Engineering, QLD Department of Agriculture and Fisheries and Forestry)
Keywords
Weed; Near-Infra-Red; Robotics; Image Analysis
Supervision

Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

Current
  • Thermal Conductivity of Low-dimensional Out-of-equilibrium Quantum Systems: Theoretically Describing Thermal Transport in Semiconductor Nanowires. (PhD , Secondary Advisor/AM)
  • Seasonal water transports in Ambon Bay of eastern Indonesia and their influences on marine pollution (PhD , Secondary Advisor/AM)
  • Molecular Dynamics Simulation of Positrons in Liquids (Masters , Primary Advisor/AM/Adv)
  • “World heritage seagrass habitats” A thematic group framework to inform the climate vulnerability index. ;; (Masters , Secondary Advisor/AM)
  • Modelling of Radiation Secondary Elecgtron Transport and Damage in Human Tissue. (PhD , Primary Advisor/AM/Adv)
  • Towards Nanodosimetry: Low-Energy Electron Processes and Transport in Biological Tissue (PhD , Primary Advisor/AM/Adv)
  • An Extensive Investigation of the Ir92 Flexisource, TG186 Report and Collapsed Cone Convolution/Superposition Algorithm for Use Brachytherapy. (PhD , Primary Advisor/AM/Adv)
  • Monte Carlo simulation of highly non-equilibrium electron and ion transport in plasma medicine. (PhD , Primary Advisor/AM/Adv)
  • Experimental and Numerical Study of Plasma-liquid Interaction for Plasma Medicine Applications (PhD , Primary Advisor/AM/Adv)
  • Quantum spin transport in nanoscale electronic devices (PhD , Secondary Advisor)
  • Plasma-based synthesis and surface modification of graphene (PhD , Secondary Advisor)
  • Synthesis and device characterisation of polymers for solar cells. (PhD , Secondary Advisor)
  • Smart Organic Solar Cell Windows using Photochromic Materials: Theory and Experiment (PhD , Secondary Advisor/AM)
  • Parallel and Scalable Neural Network Algorithms (PhD , Secondary Advisor/AM)
  • Time-dependent phenomena and electron-vibration interactions for molecular junctions. (PhD , Secondary Advisor)
  • Graphene based supercapacitors from renewable sources (PhD , Secondary Advisor)
  • Keldysh-Langevin Approach to the Dynamics in Molecular Electronic Junctions (PhD , Secondary Advisor)
Completed
Collaboration

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.

  • 5+ collaborations
  • 4 collaborations
  • 3 collaborations
  • 2 collaborations
  • 1 collaboration
  • Indicates the Tropics (Torrid Zone)

Connect with me
Share my profile
Share my profile:
jcu.me/ronald.white

Email
Phone
Location
Advisory Accreditation
Advisor Mentor
Find me on…
Icon for Scopus Author page Icon for Google Scholar profile Icon for ResearcherID page

Similar to me

  1. Dr Bronson Philippa
    College of Science & Engineering
  2. A/Prof Matthew Tan
    JCU Singapore
  3. A/Prof Daniel Kosov
    College of Science & Engineering
  4. Prof Mohan Jacob
    College of Science & Engineering
  5. Dr Mostafa Rahimi Azghadi
    College of Science & Engineering