College of Science & Engineering
Sophia Love
- Doctor of Philosophy (Natural and Physical Sciences)
- sophie.love@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
- 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
Mohamadreza Chalak Qazani
- Lecturer, Mechanical Engineering
- mohamadreza.chalakqazani@jcu.edu.au
AI-Powered Precision Farming: Mapping, Detection, Planning, and Spot Spraying (Old ID 31107)
Mohammad Jahanbakht
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.
Thermal stratification, overturning and mixing in riverine environments (Old ID 21650)
Wenxian Lin
16 Jan 2015 - 15 Jan 2018
Thermal stratification is common in Australia's rivers due to our hot, drought-prone climate and high human demands relative to available supply, which has led to a significant reduction in flows relative to natural levels. Thermal stratification inhibits mixing, creating stagnant conditions characterised by low oxygen levels and increased concentrations of contaminants, leading to algal blooms, fish kills and systemic damage to ecosystems. The aim of this project is to develop predictive models for the effects of physical processes such as night-time cooling, wind, turbulence and currents n riverine thermal stratification. This will enable a more accurate determination of the flow rates required to maintain the health of our river systems.
Extending REDMAP to Queensland (Old ID 26980)
Jan Strugnell
30 Sep 2020 - 30 Sep 2022
REDMAP (Range Extension Database & Mapping project) is a citizen science initiative inviting fishers, divers and boater to submit photographs of unusual fish sightings to an interactive website (www.redmap.org.au). The project seeks to inform, engage and educate fishers, divers and boaters about fish that are shifting southwards in accordance with warming waters. This project will continue to roll out this initiative across Queensland through public talks at fishing and diving clubs in conjunction with the distribution of brochures, dive plans and stickers highlighting the fish species for citizen scientists to keep a look out for while they are on or in the water.
Analysis of sheet metals cladding anti rust coatings. (Old ID 27127)
Peter Junk
01 Mar 2021 - 30 Apr 2021
Glencore are looking at replacing their minerals concentrate storage sheds with new colorbond materials and require testing on several materials so we can advise them on the most optimal materials to use to minimise corrosion for the future.
AutoFish: Automatic Fish Phenotyping Tool for Sustainable Aquaculture and Smart Fisheries (Old ID 28947)
Mostafa Rahimi Azghadi
01 Mar 2023 - 30 Jun 2023
This project aims to advance an initial implementation of a new automatic fish phenotyping tool, named AutoFish, that will enhance aquaculture farming and post-harvest processing practices by accelerating the collection of data and automatically analysing and leveraging it using the latest advances in computer vision and machine learning technologies. We have already developed a ground-breaking solution for the aquaculture industry, and produced a Proof Of Concept (POC) device, which has been successfully tested. This POC is ready to get tailored, integrated and/or retrofitted into an available fish and aquaculture farm for grading, phenotypic collection and/or processing lines, due to its modular stand-alone nature. The AutoFish concept has been proven with Barramundi as a test species. However, it can be used to collect images of, and trained to predict features of other fish and/or aquaculture species. AutoFish can also be trained to detect and predict any customertailored features and traits of the fish/product, and/or be used to assess the health of fish/product, if th health issues are visually recognisable by an RGB camera and the background phenotypic data present for training. Hence this technology would be scalable and can be implemented for other aquaculture products worldwide. The main aim of this project is to unlock the potential of our initial AutoFish POC by applying it to, or altering it for, a partner Barramundi (or Prawn) farm, to solve a real end-users’ problem. This problem can be about any monitoring aspect, as long as cameras can capture it. We have narrowed down the scope of this project to Barramundi (and/or Prawn) due to our wider industry network in these two species.
The Queensland STEM Education Network (Old ID 22162)
Shaun Belward
27 Apr 2015 - 30 Jun 2018
Establish the Queensland STEM Education Network comprising a partnership of key stakeholders in STEM education in Queensland to co-develop a range of programs and initiatives designed to build STEM capacity across the state of Queensland.
Plasma assisted fabrication of nanofirous membranes for energy applications (Old ID 22343)
Mohan Jacob
01 Oct 2015 - 30 Sep 2016
Development of highly stable proton conductive polymer electrolyte membranes will enable advances in energy conversion systems. This project focuses on developing innovative membranes for fuel cells and vanadium redox battery based on cheap electrospun nanofibrous modified with plasma. Nanofiberousmats containing proton conducting functionalities will be prepared by electrospinning of desired polymers followed by immobilising of ionic groups. Composite membranes with webbed morphologies will be obtained using plasma assisted crosslinking of nanofiberousmats followed by introducing additional polyelectrolyte layers. The adopted fabrication technique will be a versatile strategy for producing low cost and mechanically stable PEMs for numerous electrochemical applications.
Activity 2.6 (Banana soil physico-chemical properties) of 'Fusarium wilt Tropical Race 4 Research program (BA14014)' (Old ID 22760)
Paul Nelson
30 May 2016 - 01 Jun 2020
The project will determine the influence of soil physiocochemical conditions on growth and infectivity of the banana disease-causing fungus Fusarium oxysporum f. sp. Cubense (Foc. Foc is one of the world's most destructive banana diseases and Tropical Race 4, which attacks the Cavendish variety, was recently detected in the Tully valley in the heart of the North Queensland banana production region. This project is part of a larger program aimed at providing new information and practices to address key areas of need with a medium to long-term view of developing management practices for banana growers affected by Tropical Race 4.
Advancing the chemistry of topical rare earth metals (Old ID 20618)
Peter Junk
05 Feb 2013 - 31 Dec 2017
With abundant, but until recently neglected, rare earth resources, Australia is positioned to become a major supplier of these strategic elements as the world faces a shortage created by a Chinese monopoly and much reduced exports. Advancing the chemistry of highly reactive rare earth metal-organic compounds including syntheses from the free metals and alloys will provide a knowledge base and breakthrough science to underpin future applications in chemical manufacture, catalysis, new materials and recycling. Steric and electronic manipulation of rare earth coordination behaviour will transform their syntheses and reactions.
Waters of Jericho: Characterizing the Cu isotope compostition of water overlying IOCG-style deposaits in the Mt Isa block (Jericho and Eloise deposits). (Old ID 27017)
Brandon Mahan
01 Oct 2020 - 29 Jun 2021
This project is a pilot study that aims to characterize the Cu isotope compositions of borehole waters in 10 km radius around the Jericho and Eloise IOCG type ore deposits. Cu isotopes can act as an ore vectoiring. However, few studies have focused exclusively on natural water samples as a ameans to vector under cover. Novel, efficient techniques are needed as the demand for Cu increases with population and our transition to green energies. A second aim of the project is to stream line the purification of Cu (needed for analysis) to make this more time and cost efficient, and thus more accessible to industry partners.
Organic matter, sodicity and soil structure
- 1998
- Oxford University Press
- Researchers:Paul Nelson
Argument free clustering via boundary extraction for massive point-data Sets
- 2002
- Researchers:Ickjai Lee
Start Date:
01 Jan 2009
Start Date:
01 Jan 2008
Start Date:
01 Jan 2019
Title:
PhD, University of Utrecht
Start Date:
01 Jan 2005
Start Date:
01 Jan 2019
Title:
Diplomat of the European College of Veterinary Public Health, Specialist in Population Medicine
Start Date:
01 Jan 2004
Start Date:
01 Jan 2018
Start Date:
01 Jan 2015
End Date:
01 Jan 2017
Start Date:
01 Jan 2008
End Date:
01 Jan 2012
Start Date:
01 Jan 2022