College of Business, Law & Governance
Carrie Wilson
- Senior Research Officer
- carrie.wilson1@jcu.edu.au
Louise Floyd
- Associate Professor
- louise.floyd@jcu.edu.au
Karnika Bansal
- Lecturer
- karnika.bansal@jcu.edu.au
Skye Zhu
- Lecturer, Financial Accounting/Auditing
- skye.zhu@jcu.edu.au
Diana Castorina
- Lecturer, Economics
- diana.castorina@jcu.edu.au
Zhanming Liang
- Associate Dean, Research Education
- zhanming.liang@jcu.edu.au
Siggi Gudergan
- Professor of Strategy
- siggi.gudergan@jcu.edu.au
Barry Yau
- Lecturer, Law
- barry.yau@jcu.edu.au
Eijaz Khan
- Adjunct Senior Lecturer
- eijaz.khan@jcu.edu.au
Arusha Cooray
- Adjunct Professorial Research Fellow
- arusha.cooray@jcu.edu.au
Enhanced landscape scale management of feral pigs and buffalo in large remote landscapes with new technologies enabling real-time data, modelling and analytics (Old ID 23595)
Ian Atkinson
05 Aug 2017 - 30 Jun 2019
In remote Northern Australia properties are vast with limited seasonal access. In these large connected landscapes feral pigs and buffalo are controlled on an annual basis with limited success despite significant investment in time and money. Here we propose to develop an Internet of Things low power network connected with advanced low cost tracking devices and big data analytical techniques to develop a real time pest species tracking system including environmental sensors. Using these data, scientists and land managers will work together to develop end user products that will be used to inform strategic integrated pest management programs.
Queensland Additional Node of the Commonwealth Data Storage Infrastructure (RDSI) Project Providing Critical Infrastructure for Very Large Scale Research Data to Queensland Research (Old ID 21122)
Ian Atkinson
01 Apr 2014 - 31 Dec 2017
QCIF will establish and operate an additional node at JCU for the national RDSI research infrastructure data storage program. This node will store massive volumes of medical, environmental and other research data produced by modern instruments, sensors and tools. Immediate priorities are tropical research into eradicating mosquito-borne diseases including malaria environmental monitoring and species distribution data and climate change impact modelling.
Improved feral cattle and buffalo herd management for environmental and economic benefits in remote Northern Australia (Old ID 26983)
Ian Atkinson
09 Dec 2020 - 31 Dec 2023
The project aims to develop improved feral cattle and buffalo herd management for environmental, biosecurity and economic development in remote Northern Australia. It includes the following core components: 1) Development of a smart ear tag using GPS and Kineis satellite telemetry (France) - JCU lead agency 2) Testing and development of the ear tag at Fletcherview Research Station (approx. 100 animals) - JCU lead agency 3) Development of management tools for geolocation data - CSIRO lead agency 4) Deployment of tags on 1000 feral Buffalo and Cattle in the NT - CSIRO/NAILSMA 5) Development of on-ground capacity for herd management within indigenous community organisations - JCU/NAILSMA
Early detection of asset failure using Machine Learning (Old ID 26476)
Ian Atkinson
15 Apr 2019 - 13 Apr 2020
Develop an artificial intelligence (AI) model to anticipate the likelihood of catastrophic failure of civil assets (eg bridges). This includes validation of code to support the AI processing of real-time data measured from large civil infrastructure such as bridges and assessing the viability of using low-cost IoT sensors to monitor asset health in real-time.
e-beef Evaluation Project. (Old ID 27641)
Rachel Hay
11 May 2022 - 30 Sep 2022
The project will evaluate the outcomes of the e-beef Project. The e-beef project worked with selected grazing businesses (Smart Farms) and groups of grazing businesses (Innovation Hubs) in regional Qld to demonstrate and trial innovative technologies that aimed to improve the accuracy and timeliness of livestock perfrmance and pasture data. It was expected that the e-beef project would assist grazing businesses to make informed management decisions based on recorded data. The e-beef evaluation project outsomes will inform future research and activity in Innovation and Commercialisation Projects.
Digital Extension Toolbox (Old ID 26535)
Rachel Hay
01 Mar 2019 - 31 Jul 2019
To encourage practice change in agriculture, DAF extension staff must be able to leverage "social" to deliver targeted and timely messages to discreet stakeholder groups at the hyper-local, project or peer level. This proposal is for the creation of a Digital Extension Toolbox, inclusive of a Community of Practice and Best Practice guidelines: a dynamic action-learing and risk management project designed to nimbly support staff in performing their work agilely over social engagement channels. Thisis is a pilot, desinged as an agile sprint, running from Feb-Jun 2019. During this time, we will develop a Best Management Practice (BMP) for each of four social engagement channels. Once a BMP has been deemed ready for trial, we will develop a Community of Practice and intiate a live trial. Online activity will be monitored, engagement metrics collected and oversight propvided by our 'Toolbox Investors': a matrix of committed internal stakeholders. The end goal being to provide DAF extension staff with a Toolbox full of relevant social media tools and instructions for their safe use.
Applying new technologies to enhance biosecurity and cattle quality. (Old ID 23456)
Ian Atkinson
15 Jan 2018 - 30 Jun 2021
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.
Drought and Heatwave Social Network Analysis
Rachel Hay
04 Feb 2024 - 30 Sep 2024
The project aims to complete a whole of network analysis to identify the structure and characteristics of drought and climate resilience actors (for example, programs and organisations that have a climate/drought/heatwave focus) to identify groups, clusters, or gaps within the network. The analysis will view through a dynamic lens to understand the dynamic nature of policy over time. Social Network Analysis is a powerful tool used to understand complex systems, identify key actors, to detect communities and investigate structural roles that can assist in the prediction of future interactions that will deliver upon the projects objectives.
Soil Extension through the Regional Soils Coordinator, TNQ Hub (Old ID 27529)
Rachel Hay
14 Feb 2022 - 30 Aug 2024
The funding will assist the TNQ Hub to carry out extension activities in line with National Landcare Program: Smart Farms Soil Extension Activities and support the National Soil Monitoring and Incentives Pilot Program to deliver a National Community of Practice to improve soil health and management. The Regional Soils Coordinator will support the Building Landcare Community and Capacity program to provide more effective, targeted, and integrated soil services that support land managers with practical tools and information to make better evidence-based management decisions for future growing seasons, including an increased uptake of soil testing and interpretation of results that lead to improved sustainable soil management practices. These projects outcomes contribute to the Australian Government National Soils Strategy, $214.9 million over 4 years.
Machine Learning for Structural Health Monitoring (Old ID 26289)
Ian Atkinson
01 Jan 2019 - 31 Dec 2019
Structural health monitoring (SHM) is a developing technology but is still considered expensive by asset owners. However, SHM is on the verge of a massive technology disruption. Through the emergence of low-cost, high-performance sensors, the development of Internet of Things (IoT) communications and now deep-learning, Artificial Intelligence (AI) the SHM monitoring of buildings, bridges and other civil assets can now be realised. This project will attempt to build a prototype loT/ML based SHM system.
Analysing qualitative case study evidence: the case of management accounting research
- 2004
- Anmol Publications
- Researchers:Rafiuddin Ahmed
The semantic reef: managing complex knowledge to predict coral bleaching on the Great Barrier Reef
- 2007
- Researchers:Ian Atkinson
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Hindi
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