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
VIRTUAL-REALITY BASED 3D TELEMEDICINE FOR TROPICAL AND REGIONAL COMMUNITIES (Old ID 23115)
Wei Xiang
19 Dec 2016 - 31 Dec 2018
Virtual-reality (VR) technology has recently inspired the creativity of the public. Meanwhile, recent advances in light-field (LF) photography open a new horizon for digital video streaming, where LF capture and glasses-free 3D display capabilities are perfect for a wide range of 3D interactive applications. As such, this proposal aims to propose an immersive VR-based 3D telemedicine system for distance healthcare through providing more accessible and affordable healthcare to tropical population. Building upon cutting-edge 3D image sensing technology, this project will help bridge the gap between metropolitan cities and tropical and regional communities in access to and quality of healthcare services.
Low-cost Sensing Methods and Hybrid Learning Approaches for Water Quality Monitoring (Old ID 27164)
Tao Huang
01 Jan 2022 - 31 Dec 2025
This project aims to investigate innovative solutions for low-cost water quality monitoring by utilising state-of-the-art Internet of Things and Artificial Intelligence technologies. This project expects to generate new knowledge in the area of artificial intelligent Internet of Things using interdisciplinary approaches. Expected outcomes of this project include novel low-cost alternative sensing methods and new hybrid learning network models for sensory data predictive analytics. This should provide significant national benefits, such as substantially reduced costs and improved accuracy for real-time monitoring of the Great Barrier Reef.
Irradiation of Polymer Thin Films to Develop Carbon Nano-Clusters (Old ID 22094)
Mohan Jacob
01 Jul 2015 - 30 Jun 2016
Using a 2014 AINSE grant we have substantiated that polymer thin film material properties can be tailored using I+ ion irradiation. Significant modification of the atomic and electronic structure of polymer films will occur as a result of high energy (MeV) ion irradiation. This project aims to improve typical polymer properties, such as glass transition temperature, interfacial bonding and elastic modulus. These properties will be altered especially if nanotube or carbon clusters are formed as a result of the high energy ion irradiation. At high energy densities (fluences of 1x10^14 and 1x10^156 ions/cm^2) the irradiated polymer will change its structure to hydrogenated amorphous carbon and can also lead to the formation of graphitic clusters. This research will assist in understanding the material's electronic and physical structures and can lead to the development of novel environmentally friendly electronic products.
Developing Deep Learning Applications for Smart Aquaculture (Old ID 27329)
Alzayat Saleh
01 Jul 2021 - 30 Jun 2024
This project proposes to use deep learning technology to extract various data in commercial environments in a non-intrusive and cost-effective way from fish farms. Currently, most of the fish data is analysed manually. The aim is to use deep learning to extract useful features and traits of fish and to analyse the collected data automatically and efficiently. The project will be in direct partnership with our industry collaborators across Australia and Asia.
Optimisation of QCIDE oil extraction and separation (Old ID 26712)
Yinghe He
26 Aug 2019 - 26 Aug 2021
This is project for Research Master Degree at JCU. Investigation of the pre-treatment, distillation and separation parameters of QCIDE extraction in order to assess the viability of industrial QCIDE production.
Pathways for performance improvements of organic light emitting diodes (Old ID 27152)
Bronson Philippa
01 Jan 2021 - 25 Apr 2026
Organic light-emitting diodes (OLEDs) represent the next generation technology for displays and lighting. Despite their rapid uptake, one of the factors limiting their application in lighting is the efficiency roll-off at high brightness. This project aims to work towards solutions for this problem using an innovative combination of simulation studies and experimental work. Expected outcomes include improved theoretical and experimental approaches leading to new design rules for OLEDs. This should provide significant benefits such as a pathway for development of improved efficient, high brightness OLEDs for applications in low energy consumption lighting and long-lasting, bright displays.
Optimisation of internal pressure for designing industrial buildings (Old ID 21871)
John Ginger
14 Oct 2015 - 31 Dec 2020
The internal pressure in a building is dependent on the sizes of openings in the envelope, and its volume and flexibility, and is a critical loading parameter in building design. Post windstorm damage investigations have shown that incorrect internal pressures are frequently used in building design leading to damage. This project will study the internal pressures generated in buildings with a range of volumes and openings in the envelope. A combination of model scale and full scale tests and theoretical analysis will e used to determine critical parameters for highly turbulent air-flow through openings. Results will be used to revise design data in codes and produce guidelines for consistent, optimal design of industrial type buildings.
MINJAR GOLD - INVESTIGATION OF THE INFLUENCE OF CLAY ON GOLD EXTRACTION (Old ID 27376)
Elsa Antunes
22 Feb 2021 - 30 Nov 2021
The main objective of this thesis is to explore possible ways of mitigating issues associated with the presence of clay in a Carbon in Pulp (CIP) plant. It is hypothesized that heat treatment is an effective way of eliminating these issues as well as providing several subsequent benefits such as improvements to grinding and recovery. Yet, the efficacy of heat treatment is largely determined by the characteristics unique to each clay species. Thus, preliminary testing using equipment in the James Cook University Analytical Centre such as the Scanning Electron Microscope (SEM), X-ray Diffraction (XRD) and Thermogravimetric Analysis (TGA) is necessary. This will provide the optimal heat treatment temperature, where the impacts of the heat treatment on viscosity in these conditions can be determined. Furthermore, secondary benefits such as improvements to recovery and grinding will also be quantified. This method allows for a thorough understanding of the impacts of heat treatment and will determine whether it is an effective approach to mitigating issues associated with the presence of clay.
Automated Catch'n'Release Anchor Retrieval Device Reliability Test and Materials Research (Old ID 26292)
Eric Wang
02 Jan 2019 - 02 Jul 2019
The Catch'n'Release Anchor Retrieval Device provides the safest and most sustainable way to retrieve your anchor. Specifically designed for recreational vessels, the device is easy to attach and in just seconds the anchor is pulled up the same way it went down. The device is designed to be used every time you head out on the boat and serves to protect precious marine habitats by minimising damage while promoting a safet boating experience. However, to prove its reliability, the device will have to pass thousands of connect and disconnect test cylces, which is apparantly not viable via manual operation. Therefore, this project aims to develop a solution for automated Catch'n'Release Anchor Retrieval Device reliability test, which can perform the connect-disconnect process automatically thousands of times. On top of that, corrosion and braking tests will be also introduced between every 500 test cycles to simulate the practical usage cases of this device.
ITS and UCS Tests on Rock Cores (Old ID 23055)
Siva Sivakugan
01 Oct 2016 - 01 Dec 2016
The rock cores will be provided by Mt Carlton. They will be cut to length to diameter ratios of 2.5 and 0.5 for the uniaxial compressive strength test and indirect ensile strength tests, respectively. The UCS tests involved developing stress-strain plots and determining the uniaxial compressive strength and the Young's modulus. The indirect tensile strength requires the determination of the Is values. The client will be provided with a report that includes all results and photographs of the failure specimens.
Photocarrier lifetime and recombination losses in photovoltaic systems
- 2016
- Nature Publishing Group
- Researchers:Bronson Philippa
Three-dimensional modelling of the timber-framed house to uplift loading
- 2017
- Taylor & Francis
- Researchers:John Ginger
Review of internal pressures in buildings
- 2017
- Taylor & Francis
- Researchers:John Ginger
Internal pressure fluctuations in industrial buildings
- 2016
- Australasian Wind Engineering Society
- Researchers:John Ginger
Correlation of peak wind loads at batten-truss connections
- 2016
- Wind Engineering Society
- Researchers:John Ginger
A hybrid CMOS-memristor neuromorphic synapse
- 2017
- Institute of Electrical and Electronics Engineers
- Researchers:Mostafa Rahimi Azghadi
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
