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
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.
An Advanced Ultrafast Laser Spectroscopy Facility in Queensland (Old ID 27154)
Bronson Philippa
01 Jan 2021 - 31 Dec 2021
The project aims to establish a world-class ultrafast laser spectroscopy facility to investigate how molecules interact with visible or ultraviolet light. Light-matter interactions are key to energy generation in nature through photosynthesis as well as technologies we use on a daily basis including optical communications and displays. This project expects to generate new knowledge in on how light interacts with matter at the molecular level. Expected outcomes of the ultrafast spectroscopic measurements will be understanding the fate of light absorbed by or generated in different materials. Application of the knowledge gained will enable the design of materials for more efficient technologies such as solar cells, lighting, and sensors.
Development of Customised Hospital Waste Processing Technology (Old ID 26326)
Elsa Antunes
25 Feb 2019 - 31 Mar 2020
Phase 1 aims to use microwave pyrolysis technology to process a mix medical waste supplied by Medafield Pty Ltd, and study the pyrolysis conditions and resulting byproducts (syngas, bio-oil and biochar) material analysis using the different analytical tools. Phase 2 of this project will focus on the optimisation of the material properties especially to increase the value of the byproducts of particular interest. We will also undertake the biological characterisation of the samples to better understand the hazardous nature of the syngas and the biochar.
ARC Research Hub for Supercharging Tropical Aquaculture Through Genetic Solutions (Old ID 27374)
Mostafa Rahimi Azghadi
09 Sep 2021 - 31 Dec 2025
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.
Plasma polymers from natural extracts for wound healing applications (Old ID 27080)
Mohan Jacob
12 Jan 2021 - 30 Jun 2024
Radio Frequency Plasma Enhanced Chemical Vapour Deposition (RF-PECVD) will be used to fabricate thin films from natural extracts and study their wound healing properties. RF-PECVD is a promising strategy to incorporate the developed thin films from volatile natural extracs, and thereby find applications in wound dressings. Wound healing will be enhanced by the inhibition of pro-inflammatory cytokines and the promotion of cell proliferation. This research also addresses optimising the wound healing properties of the thin films and conditions at which the desirable properties can be preserved/enhanced, so it could be effectively modified in order to fit specific wounds.
Mitigation of Losses in Qld from Extreme Wind Events (Old ID 24934)
John Ginger
01 Jul 2017 - 30 Jun 2018
The objective of the project is to investigate and inform on aspects of building doles/standards and implementation to mitigate losses from extreme win events including Cyclones.
Enhancing AI detection of dugong and other marine megafauna species (Old ID 30032)
Mohammad Jahanbakht
15 Jun 2023 - 01 May 2024
Standardised aerial surveys have been conducted across northern Australia for over three decades to monitor dugong populations. JCU is currently monitoring dugongs across the entire eastern Queensland coast using conventional observer survey approach. In parallel to the monitoring work, JCU is experimenting the use of aerial images to conduct these large scales surveys. Preliminary results from the image processing work reveals that substantial efforts need to be put in to streamline and fast-track the processing of large image datasets to make imagery survey a cost-effective approach in the future. An AI for detecting dugongs is available but was developed based on images collected in Western Australian waters, a different habitat compared to eastern Queensland inshore waters. Preliminary tests ran by our team suggest that the current AI requires additional research work to improve its level of precision while other competitive AIs also need to be investigated. Upon completion of our tests, our team will outline steps toward the improvement of the current AI and/or exploration of alternative methods with the end goal of producing an automated approach that fast-tracks the processing of large image datasets collected during large-scale marine wildlife surveys.
Machine learning for understanding and predicting neurodevelopmental outcomes in premature infants: a systematic review
- 2023
- Nature Publishing Group
- Researchers:Stephanie BakerYoga Kandasamy
A computationally efficient CNN-LSTM neural network for estimation of blood pressure from features of electrocardiogram and photoplethysmogram waveforms
- 2022
- Elsevier BV
- Researchers:Stephanie BakerWei XiangIan Atkinson
Understanding the performance differences between solution and vacuum deposited OLEDs: a computational approach
- 2022
- AIP Publishing LLC
- Researchers:George VamvounisRon WhiteBronson Philippa
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