College of Science & Engineering
Sophia Love
- Doctor of Philosophy (Natural and Physical Sciences)
- sophie.love@jcu.edu.au
Elle Robertson
- Doctor of Philosophy (Agriculture, Environmental and Related Studies)
- elle.robertson@jcu.edu.au
Romain Vaucher
- Senior Lecturer, Sedimentology
- romain.vaucher@jcu.edu.au
Jenny Fisher
- Associate Dean, Learning and Teaching
- jenny.fisher@jcu.edu.au
Ambili Narayanan
- Doctor of Philosophy (Natural and Physical Sciences)
- ambili.narayanan@my.jcu.edu.au
Sarfaraz Ali
- Postdoctoral Research Fellow
- sarfaraz.ali@jcu.edu.au
Mikaeylah Davidson
- Postdoctoral Research Fellow
- mikaeylah.davidson@jcu.edu.au
Liuxin Chen
- Adjunct Lecturer
- liuxin.chen@jcu.edu.au
Rafael Cabral Carvalho
- Lecturer, Marine Geoscience
- rafael.cabralcarvalho@jcu.edu.au
Tom Lloyd
- Postdoctoral Research Fellow, Global Ecosystems
- tom.lloyd@jcu.edu.au
From Coastal Communities to Cloud Communities – New Application and Artificial Intelligence to Monitor Fish Stocks Using Photos – Application Development (Old ID 26805)
The Project aims at develop an artificial intelligence capable to autonomously identify fish species and number from images collected at fish markets in remote location, so that effective catch rate can be evaluated and management policies can be developed.
Do Melomys cervinipes have personalities? Variations in behaviour and hormones (Old ID 22230)
Behavioural syndromes or personalities are a series of correlated behaviours that are consistently displayed within an environment by an individual. I aim to study whether the fawn-footed melomys, Melomys cervinipes, in the Wet Tropics has distinct behavioural syndromes and whether these behavioural syndromes are associated with habitat disturbance. I hypothesise that individual M. cervinipes will show distinct behavioural syndromes depending on their habitat. This study will provide a greater understanding of the relationship between behavioural syndromes and habitat disturbance in a poorly studied Australian rodent. This knowledge will provide an insight into how individual and population fitness could be affected in degraded environments and how animals may cope with environmental change.
Identification of benthic structure using machine learning (Old ID 26732)
The Project aims at automating the classification of benthic structure and biota from images using machine learning
Determining nitrogen removal from floodplain restoration with Melaleuca (Old ID 27462)
Tree swamps, such as those with Melaleuca, have the potential to remove nitrogen from agricultural runoff. This project aims to: (i) assess the effectiveness of a Melaleuca planting integrated within a Wet Tropics cane-dominated catchment to remove nitrogen from floodwaters before it flows to the Great Barrier Reef; and (ii) scope locations for future tree swamp integration across the Great Barrier Reef catchment.
Fresh and Secure Trade Alliance (FASTA) (Old ID 30029)
FASTA is a national research initiative designed to protect and grow Australia's horticultural exports. Within the overall consortium, JCU is developing smart sensor technologies for a variety of pre- and post-harvest applications. We will develop smart traps for real-time monitoring of insect pests in the field and near-infrared spectroscopy methods to identify the species of insects to contribute to management efforts. We will also develop optical scanning methods to remove infested produce from supply chains. Overall, this work contributes towards a large-scale national effort to improve market access, biosecurity and pest management for Australian horticulture.
RRAP CAD-02 Engineering large scale coral aquaculture. (Old ID 27362)
Efficient coral production methods are required for restoration and adaptation interventions to reach the scale necessary for ecologically relevant outcomes. Coral Aquaculture production systems will be designed to meet the desired capacity levels, while also providing conditions to maintain the health of early life stages of corals. Appropriate and efficient aquaculture conditions and infrastructure are critical, along with strategies to optimise settlement, survival and growth of early life stage corals. For corals produced in the aquaculture systems and earmarked for out-planting to natural reefs systems, strict health and quality assurance standards also be investigated.
Seismic Interpretation of NE QLD (Old ID 28938)
This project will update the interpretation of deep seismic lines across NE QLD, from Georgetown to Thomson and Hodkinson provinces. Work carried out at JCU with regard to tectonic models of the development of the eastern margin of the north Australian craton and new processing techniques should allow a better understanding of the fundamental geological and tectonic structure of NE Queensland. Understanding of the large scale distribution of geological provinces in 3 dimensions will underpin other works in the region such as geological mapping and lead to better understanding of mineral systems which include significant potential for critical minerals.
Millimeter-wave radar for monitoring animals in the airspace (Old ID 28946)
This project aims to develop a prototype of a millimetre-wave imaging radar for the detection of animals in the airspace. These radar systems have been developed for the automotive industry but have yet to be assessed for their capability as a detection tool for biological targets such as insects, birds and bats. There is a huge market gap for low-cost biological sensors in industries such as agriculture, environmental management and conservation, and human health. This project will provide a proof of concept that can then be used to generate further funding and a start-up to further develop this product, with the intention to deploy a network of units as a sensor array.
Millimeter-wave radar for monitoring animals in the airspace (Old ID 28946)
This project aims to develop a prototype of a millimetre-wave imaging radar for the detection of animals in the airspace. These radar systems have been developed for the automotive industry but have yet to be assessed for their capability as a detection tool for biological targets such as insects, birds and bats. There is a huge market gap for low-cost biological sensors in industries such as agriculture, environmental management and conservation, and human health. This project will provide a proof of concept that can then be used to generate further funding and a start-up to further develop this product, with the intention to deploy a network of units as a sensor array.
Near-infrared spectroscopy to improve detection of the invasive yellow crazy ant, Anoplolepis gracilipes. (Old ID 28988)
This project aims to develop a proof-of-concept device capable of distinguishing the invasive yellow crazy ant from native ants in the Wet Tropics World Heritage Area using a miniaturised near infrared (NIR) spectroscopic sensor. I will conduct an initial study into the variability of the yellow crazy ant NIR spectra then build a classification model to distinguish yellow crazy ants from common native ants using NIR spectra. These studies will be used to inform the prototype development. Prototype development will consist of the design and manufacture of a printed circuit board containing the NIR sensor and its support electronics. This prototype will be then validated using the same classification experiment of YCA against native ants.
Organic matter, sodicity and soil structure
- 1998
- Oxford University Press
- Researchers:Paul Nelson
Start Date:
01 Jan 2023
Start Date:
01 Jan 2022
Start Date:
01 Jan 2021
Start Date:
01 Jan 2020
End Date:
01 Jan 2024
Start Date:
01 Jan 2020
Start Date:
01 Jan 2016
End Date:
01 Jan 2019
Start Date:
01 Jan 2019
Start Date:
01 Jan 2007
End Date:
01 Jan 2016
Start Date:
01 Jan 2017
Start Date:
01 Jan 2005
End Date:
01 Jan 2007