Engineering
Liuxin Chen
- Lecturer
- liuxin.chen@jcu.edu.au
Mohamadreza Chalak Qazani
- Lecturer, Mechanical Engineering
- mohamadreza.chalakqazani@jcu.edu.au
Lewis Gooch
- Lecturer
- lewis.gooch@jcu.edu.au
Judy Yang
- Postdoctoral Research Fellow, Applied AI for Forestry Weed Detection and Mapping
- judy.yang@jcu.edu.au
Bouchra Senadji
- Head, Engineering
- bouchra.senadji@jcu.edu.au
Alzayat Saleh
- AIMS@JCU Postdoctoral Research Fellow, Marine Science Technology
- alzayat.saleh@jcu.edu.au
Anne Steinemann
- Adjunct Professor
- anne.steinemann@jcu.edu.au
Nico Adams
- Professor, Electronic Systems & IoT Engineering
- nico.adams@jcu.edu.au
Elsa Antunes
- Associate Professor, Mechanical Engineering
- elsa.antunes1@jcu.edu.au
Eric Wang
- Senior Lecturer, Electronic Systems and IoT Engineering
- eric.wang@jcu.edu.au
Development of multi-layered scaffolds to promote bone healing responses in non-union fractures
Elsa Antunes
01 Feb 2024 - 31 Dec 2025
In 2022 FNQ had an estimated 18,000 people living with osteoporosis with on the rise. Sufferers are susceptible to complex or large bone fractures which take longer to heal or result in a non-union fracture. Bioactive ceramic structures can promote bone healing responses but, currently, these lack the required mechanical strength. We have used 3D printing to create multi-layered structures that contain the required mechanical strength but their ability to promote the correct healing response needs to be assessed. Information from this project can be used to create new treatment alternatives for those at risk of non-healing fractures.
Tropical North Queensland Drought Resilience Adoption and Innovation Hub (Old ID 27718)
Nico Adams
01 Apr 2022 - 31 Aug 2024
The TNQ Agricultural Innovation Hub is anchored as part of the established TNQ Drought Hub and will sit within the JCU ideas Lab in Cairns – on the traditional land of the Yirrganydji people. Under the TNQ Agricultural Innovation Hub (as part of the broader TNQ Drought Hub) JCU will bring together producers, agriculture companies, supply chain businesses, innovators, start-ups, investors, and researchers to drive agricultural innovation in Northern Australia. The TNQ Agricultural Innovation Hub can also leverage the expertise of JCU’s Innovation Advisory Committee (IAC) and Scientific and Technical Advisory Committee (STAC) as/when required to support new project concepts.
A low power flexible sensor network system for viticulture (Old ID 22420)
Mohan Jacob
04 Apr 2016 - 05 Sep 2020
While many researchers are focusing on wireless sensor networks as the core component of on-farm sensor networks, these systems suffer from high maintenance due to the number of units required, each with their own batteries and charging systems. For viticulture, where sensor strings can be run down rows, I propose a wired system capable of driving 1000's of sensors from a single sensor master. There is a gap in the types of sensors currently available in viticulture research and routine that the proposed development would meet.
AI-Powered Precision Farming: Mapping, Detection, Planning, and Spot Spraying (Old ID 31107)
Mostafa Rahimi Azghadi
01 Sep 2023 - 29 Nov 2024
High-tech solutions in agriculture offer many benefits for improved crop and land management. However, current methods rely heavily on human experts for monitoring and planning. To address this, we propose a state-of-the-art AI-based spraying strategy software that: • takes aerial images of the farm/land vegetation (using drones, planes, satellites, etc.) and detects field requirements, • generates a pre-spray map on GIS systems, considering the existing terrain topographies, • optimally plans the detailed spraying strategy and suggests one or a combination of proper spraying methods such as blanket, vehicular spot, or aerial spraying, and • whenever possible, effectively commands and controls appropriate devices to spray, such as drones, vehicles, people, etc. It might also receive feedback and correspondingly optimize the process/plan. This AI-Powered system helps farmers and producers precisely spray, saving costs and the environment.
Improving the accuracy of weed killing robots with new image processing algorithms and near infra-red spectroscopy techniques (Old ID 23146)
Bronson Philippa
26 Jun 2017 - 18 Oct 2019
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.
Mitigation of Losses in Community from Extreme Wind Events (Old ID 22387)
John Ginger
01 Jul 2015 - 30 Jun 2016
The objective of the project is to investigate and inform on aspects of building codes/standards and implementation to mitigate losses from extreme wind events including Cyclones.
Vibration analysis of mining industry conveyor belt systems: validation of method and pathways to improvement (Old ID 26579)
Bruce Belson
19 Aug 2019 - 19 Feb 2020
Equipment failures 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.
2020 IBM PhD Fellowship (Old ID 26834)
Mostafa Rahimi Azghadi
01 May 2020 - 01 May 2022
To contribute to current efforts towards highly efficient hardware implementations of augmented neuromorphic architectures for edge devices using FPGAs and memristive devices.
Improving water quality for the Great Barrier Reef and wetlands by better managing irrigation in the sugarcane farming system (Old ID 23136)
Bronson Philippa
01 Jan 2017 - 01 Apr 2020
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.
Applying new technologies to enhance biosecurity and cattle quality. (Old ID 23456)
Mohan Jacob
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.
Bone Tissue Engineering Scaffolds: Function of Multi-Material Hierarchically Structured Scaffolds
- 2023
- Wiley-Blackwell
- Researchers:Kate MillerElsa Antunes
Start Date:
01 Jan 2010
End Date:
01 Jan 2015
Start Date:
01 Jan 2004
End Date:
01 Jan 2006
Start Date:
01 Jan 2010
Title:
Senior Member, IEEE
Start Date:
01 Jan 2012
Title:
Reperio Innovation Award
Start Date:
01 Jan 2015
Start Date:
01 Jan 2015
Start Date:
01 Jan 2013
Start Date:
01 Jan 2010
Start Date:
01 Jan 2006
Start Date:
01 Jan 2006