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
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.
Sugar-AI: Smart Sugarcane Health Monitoring and Ratoon Stunting Disease (RSD) Detection with Satellite Remote Sensing and Machine Learning (Old ID 30057)
Ethan Waters
01 Aug 2024 - 31 Dec 2025
The aim of the Sugar-AI project is to develop a prototype smart software system for sugarcane health monitoring. The prototype will focus on accurately diagnosing Ratoon Stunting Disease (RSD), which is considered by most sugarcane pathologists globally to be the most important disease that impacts on sugarcane yields between 5-60%.
Internet of Things and Big Data Analytics for Cairns Marine (Old ID 26460)
Mostafa Rahimi Azghadi
29 Apr 2019 - 28 Apr 2020
This project will assist to analyse the large repository of data held by Cairns marine in relation to its full operations, i.e., from harvest to husbandry, inventory tracking and sales fulfilment. The physical systems currently in use at Cairns Marine are extensive and complex, involving a range of activities in Northern Australia, all activities on site (including R&D) in Cairns and full product (marine animals) stewardship to destination. A deep and informed understanding of data is required by the business to meet its growing global product commitments.
NESP 3.4 Better management of catchment runoff to marine receiving environments in northern Australia. (Old ID 28969)
Mohammad Jahanbakht
01 Feb 2023 - 30 Jun 2024
Runoff from catchments in northern Australia has the potential to carry large amounts of sediment and nutrients. These available nutrients are important in driving coastal and estuary productivity, including many commercially and recreationally targeted species. Water resource development in northern Australia could reduce the supply of freshwater flow to the coast, thereby limiting supply of nutrients. This research project will examine the potential risks water resource development presents to Gilbert (QLD), Daly (NT) and Ord (WA) marine and coastal areas. We will complete a literature review, undertake flood plume modelling and examine vegetation damage along these coastal areas.
Identification of benthic structure using machine learning (Old ID 26732)
Bronson Philippa
30 Jan 2020 - 30 Jun 2020
The Project aims at automating the classification of benthic structure and biota from images using machine learning
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