About

 

Overview

Dr. Bronson Philippa is an electronics and software engineer with highly interdisciplinary research interests. His main focus is software and modelling. Developing scientific software has allowed Dr. Philippa to contribute to materials science, image processing, and smart agriculture. In materials science, his primary interests are organic solar cells, photodetectors, and light emitting diodes. In agriculture, Dr. Philippa’s interests are smart irrigation, crop modelling, and quality assessment by near infrared spectroscopy. He has raised over $3.8M in grant funding.

Dr. Philippa has a Bachelor of Engineering (Electrical and Electronic) / Bachelor of Science (Mathematics) and a PhD in Physics. He has lectured at James Cook University since 2011, and has been based in Cairns since 2016.

Organic semiconductors research

Organic semiconductors offer low-cost, lightweight, flexible and transparent electronic devices. Bronson has primarily worked on organic solar cells and photodetectors, using computational methods to model charge transport at the device scale. He develops drift-diffusion and Monte Carlo models that offer insight into how to improve device performance, as well as how to more accurately analyse charge transport measurements. He is a member of the Australasian Community for Advanced Organic Semiconductors.

Agricultural technology research

Agriculture is a critical industry for Northern Australia. Bronson is developing agricultural technology for the sugarcane industry, providing improved automation and decision support tools. His primary focus is irrigation, and using technology to improve irrigation decision making. Bronson also works on image processing to detect invasive weed species. Another area of interest is the application of near infrared spectroscopy and other methods to non-destructively test food products as part of the JCU Rapid Assessment Unit.

Teaching

Bronson teaches the embedded systems subjects in Cairns. These cover design of printed circuit boards, microcontroller programming, and interfacing with sensors, actuators and communication devices. He places a strong emphasis on active and authentic learning, and has been recognised with several teaching awards including a 2016 JCU Citation for Outstanding Contributions to Student Learning.

 

Teaching
  • CC2511: Embedded Systems Design (Level 2; CNS & TSV)
  • CC3501: Computer Interfacing and Control (Level 3; CNS)
  • MA3405: Statistical Data Mining for Big Data (Level 3; CNS)
Interests
Research
  • Organic semiconductors
  • Charge transport
  • Image processing
  • Smart agriculture
  • Internet of Things
  • Embedded systems
Experience
  • 2019 to present - Senior Lecturer, James Cook University (Cairns)
  • 2016 to 2018 - Lecturer, James Cook University (Cairns)
  • 2014 to 2015 - Lecturer, James Cook University (Townsville)
Socio-Economic Objectives
Honours
Awards
  • 2018 - Australasian Association for Engineering Education Citation for Outstanding Early Career Contribution to Engineering Education
  • 2016 - JCU Citation for Outstanding Contributions to Student Learning, for enthusing students in electronics engineering with active and authentic learning
  • 2015 - JCU Sessional Staff Teaching Award for outstanding contributions to student learning
  • 2015 - Selected to attend the Lindau Meeting of Nobel Laureates as an Australian representative
  • 2015 - Bev Frangos Graduate Instructor Prize for an outstanding contribution to teaching
Memberships
  • Student Branch Counsellor and executive committee member for IEEE Northern Australia Section
  • Member of the IEEE (Institute of Electrical and Electronics Engineers)
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
Conference Papers
More

ResearchOnline@JCU stores 25+ research outputs authored by Dr Bronson Philippa from 2011 onwards.

Current Funding

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

Department of Agriculture and Water Resources - National Landcare Program: Smart Farming Partnerships Grant

Climate Smart Sugarcane Irrigation Partnerships (CSSIP)

Indicative Funding
$1,586,884 over 5 years
Summary
CSSIP will minimise nutrient runoff, improve soil health and increase wetlands water quality by facilitating the adoption of world-class irrigation practices in sugarcane farming systems. Currently, best practice irrigation is assisted by an Irrigation Decision Support Tool (IDST) that provides evidence-based advice. However, IDSTs have not reached their full potential. Firstly, they do not integrate short to medium term weather forecasts (e.g. weekly to multi-weekly forecasts). Secondly, IDSTs do not operate at a spatial scale relevant to farmers. CSSIP will incorporate the Bureau or Meteorology?s new high-resolution climate model into the Irrigation Decision Support Tool. Thirdly, IDSTs require substantial time in manual data entry, which can be alleviated using real-time monitoring via Internet of Things technologies. This will increase irrigation efficiency, reducing excessive runoff into river systems and onto the Reef, and, will help farmers save water and energy costs.
Investigators
Bronson Philippa, Yvette Everingham, Eric Wang, Stephen Attard and Wei Xiang in collaboration with Geoff Inman-Bamber, Marian Davis, Andrew Schepen, Brock Dembowski, Peter Larsen and Andres Jaramillo (College of Science & Engineering, AgriTech Solutions, Burdekin Productivity Services, Commonwealth Scientific & Industrial Research Organisation, Department of Agriculture, Fisheries and Forestry, Wilmar Sugar Australia and Sugar Research Australia)
Keywords
Sugarcane; Internet of Things; Irrigation

Department of Industry, Innovation and Science - Innovations Connections

Vibration analysis of mining industry conveyor belt systems: validation of method and pathways to improvement

Indicative Funding
$48,811 over 2 years, in partnership with Rolco Pty Ltd ($48,811)
Summary
Equipment vailures in the mining industry can cause serious safety hazards and substantial financial losses. An automated, cost-effective monitoring system that could be retrofitted to existing equipment would provide advance warning to operators and reduce the likelihood of unscheduled outages. This project will test and validate a vibration-based monitoring system for conveyor belts and associated equipment. It will also identify improved methods to analyse the vibration data to increase the sensitivity and/or accuracy of the alerts that are generated.
Investigators
Bronson Philippa, Bruce Belson, Lei Lei and Wei Xiang (College of Science & Engineering)
Keywords
Vibration Analysis; Signal Processing; Mining

QLD Department of Science, Information, Technology and Innovation - Advance Queensland Innovation Partnerships

Smart Ear Tag for Livestock

Indicative Funding
$1,500,000 over 4 years
Summary
CeresTag is investing in the development of a smart ear tag for livestock to enable near real-time geo-location and health monitoring. The developed ear tag will be compliant with the current NLIS identification system and cost only marginally more than existing tags. This technology will revolutionise the industry through enhanced animal welfare, improved land management practices and increased profitability. It will form the starting point of block chain traceability that will underpin the continued success of this important component of the Australian economy and help maintain the premium status of Australian livestock products.
Investigators
Ian Atkinson, Wei Xiang, Bronson Philippa, Ed Charmley, Greg Bishop-Hurley, Nigel Bajema, Scott Mills, Gordon Foyster and Richard Keaney (Research Infrastructure, College of Science & Engineering, Commonwealth Scientific & Industrial Research Organisation and Taggle Systems)
Keywords
Animal tracking; Internet Of Things; Microelectronics; Geo-location; Precision Agriculture; Beef Cattle

Department of Agriculture and Water Resources - 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 3 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

ABRS - National Environmental Science Program (NESP) - Tropical Water Quality Hub (TWQ Hub)

Improving water quality for the Great Barrier Reef and wetlands by better managing irrigation in the sugarcane farming system

Indicative Funding
$458,103 over 3 years
Summary
This project will work in partnership with industry, extension, NRM, research and government organisations to develop and deploy an irrigation system that is automatically controlled by remotely accessing feedback from the IrrigWeb decision support tool. Irrigweb provides optimal irrigation schedules on a paddock-by-paddock basis by linking information abut climate, soils and management regimes. If new water quality targets as specified in the revised Burdekin Water Quality Improvement Plan are to by met by 2025, it will be critical to establish pathways that enable industry partners to capitalise on new technologies.
Investigators
Yvette Everingham, Wei Xiang and Bronson Philippa in collaboration with Stephen Attard (College of Science & Engineering and AgriTech Solutions)
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
  • Monte-Carlo Modelling of Charge Transport in Heterogeneous Organic Semiconductors (PhD , Secondary Advisor)
  • Graphene based supercapacitors from renewable sources (PhD , Secondary Advisor)
  • Monte Carlo simulation of highly non-equilibrium electron and ion transport in plasma medicine. (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 , Primary Advisor)
  • Development of high-level programming tools to improve the robustness of Internet of Things networks. (PhD , Primary 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)

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