College of Science & Engineering

Sophia Love

Sophia Love

Romain Vaucher

Romain Vaucher

Jenny Fisher

Jenny Fisher

Ambili Narayanan

Ambili Narayanan

Sarfaraz Ali

Sarfaraz Ali

Mikaeylah Davidson

Mikaeylah Davidson

Liuxin Chen

Liuxin Chen

Rafael Cabral Carvalho

Rafael Cabral Carvalho

Tom Lloyd

Tom Lloyd

Mohamadreza Chalak Qazani

Mohamadreza Chalak Qazani

Developing Core Bioinformatics Capacity at the Australian Institute of Tropical Health and Medicine (Old ID 23197)
Matt Field
01 Jan 2018 - 31 Dec 2021
Cost effective next generation sequencing is now a reality, meaning the bottleneck for research projects has shifted from data generation to data analysis. Researchers at the Australian Institute of Health and Tropical Medicine (AITHM) are engaged in an increasing number of high-impact research projects that require timely access to high-throughput bioinformatics best-practices methodologies. This proposal outlines strategies to develop support for projects requiring bioinformatics within AITHM.
An investigation of multiple paternity in the endangered narrow sawfish, Anoxypristis cuspidata (Old ID 23312)
Jan Strugnell
28 Nov 2017 - 31 Dec 2018
This genetics-based project will investigate multiple paternity in the endangered narrow sawfish for the first time. Sawfishes are arguably the most vulnerable of all marine fishes. Despite this, most aspects of their ecology and reproductive behaviour are poorly understood. A bycatch event of 25 pregnant females in Princess Charlotte Bay has provided a rare opportunity to explore multiple paternity in this species across a large number of litters. Using neutral molecular markers (microsatellites), this study will fill an important knowledge gap and provide information critical to effective conservation and management of this endangered species.
Improving the extraction process for QCIDE ™ oil (Old ID 26192)
Yinghe He
25 Sep 2018 - 28 Feb 2019
This project involves data-logging to quantify process variables, and taking samples of hydrosol to determine the state of steam-biomass contact to determine oil yield and areas for process improvement.
Machine-learning based monitoring system for cyanobacterial blooms in tropical freshwater reservoirs
Tao Huang
20 Apr 2026 - 22 Oct 2029
This project calls for the development of machine learning methods for the surveillance and monitoring of cyanobacteria in tropical reservoirs. The project will integrate data from multiple length scales (e.g. point samples, optical sensors at fixed locations, colour and/or multispectral imagery from remotely piloted aircraft, and satellite-based remote sensing). There is the opportunity to develop innovative ML methods and combine applied research (to develop useful industrial applications) and fundamental research (to create new ML algorithms and incorporate innovative approaches to handle, for instance, sparsely labelled data, multiple input modalities, etc). There is also the opportunity to develop new optical or electrical sensors for in-situ measurements.
Machine-learning based monitoring system for cyanobacterial blooms in tropical freshwater reservoirs
Bronson Philippa
20 Apr 2026 - 22 Oct 2029
This project calls for the development of machine learning methods for the surveillance and monitoring of cyanobacteria in tropical reservoirs. The project will integrate data from multiple length scales (e.g. point samples, optical sensors at fixed locations, colour and/or multispectral imagery from remotely piloted aircraft, and satellite-based remote sensing). There is the opportunity to develop innovative ML methods and combine applied research (to develop useful industrial applications) and fundamental research (to create new ML algorithms and incorporate innovative approaches to handle, for instance, sparsely labelled data, multiple input modalities, etc). There is also the opportunity to develop new optical or electrical sensors for in-situ measurements.
Machine-learning based monitoring system for cyanobacterial blooms in tropical freshwater reservoirs
Mahmood Sadat Noori
20 Apr 2026 - 22 Oct 2029
This project calls for the development of machine learning methods for the surveillance and monitoring of cyanobacteria in tropical reservoirs. The project will integrate data from multiple length scales (e.g. point samples, optical sensors at fixed locations, colour and/or multispectral imagery from remotely piloted aircraft, and satellite-based remote sensing). There is the opportunity to develop innovative ML methods and combine applied research (to develop useful industrial applications) and fundamental research (to create new ML algorithms and incorporate innovative approaches to handle, for instance, sparsely labelled data, multiple input modalities, etc). There is also the opportunity to develop new optical or electrical sensors for in-situ measurements.
Incorporating cyanobacteria into black solider fly waste diets as an effective bloom biomass cleanup strategy.
Leo Nankervis
20 Apr 2026 - 30 Nov 2026
This research will provide insights into the feasibility of using Townsville City Council cyanobacterial waste as a sustainable Black Soldier Fly Larvae (BSFL) feedstock, with potential benefits including waste valorization, improved sustainability and the future development of scalable solutions for commercial feed applications.
Modelling Catchment Hydrology and Nutrient Fluxes to Forecast Cyanobacterial Blooms in In Ross River Reservoir
Bronson Philippa
20 Apr 2026 - 22 Oct 2029
The project focuses on developing an integrated modelling framework for forecasting cyanobacterial blooms in tropical reservoirs. It combines surface water modelling (SWAT or similar) with groundwater modelling (MODFLOW or similar) to capture the coupled dynamics of catchment hydrology, nutrient transport, and reservoir inflows. These physical models are further integrated with remote sensing datasets and machine learning approaches (e.g., Random Forest, GNN, LSTM) to identify bloom drivers and improve prediction. Additionally, sub-seasonal to seasonal (S2S) climate forecasts are incorporated to extend predictive lead times, enabling an early warning system for effective reservoir and water quality management.
Modelling Catchment Hydrology and Nutrient Fluxes to Forecast Cyanobacterial Blooms in In Ross River Reservoir
Mahmood Sadat Noori
20 Apr 2026 - 22 Oct 2029
The project focuses on developing an integrated modelling framework for forecasting cyanobacterial blooms in tropical reservoirs. It combines surface water modelling (SWAT or similar) with groundwater modelling (MODFLOW or similar) to capture the coupled dynamics of catchment hydrology, nutrient transport, and reservoir inflows. These physical models are further integrated with remote sensing datasets and machine learning approaches (e.g., Random Forest, GNN, LSTM) to identify bloom drivers and improve prediction. Additionally, sub-seasonal to seasonal (S2S) climate forecasts are incorporated to extend predictive lead times, enabling an early warning system for effective reservoir and water quality management.
Addressing key technical bottlenecks in the grouper supply chain in Vietnam (and Australia) through manufactured feed and hatchery developments that aim to improve SME sector profitability
Simon Das
01 Jun 2024 - 01 Dec 2027
Research Fellow
Title: JCU Award for Excellence-Research Group SAMRI
Reseracher: Ioan Sanislav (Associate Professor and Director, Resources and Critical Minerals Trailblazer)
Start Date: 01 Jan 2006
Title: Editorial Board - Frontiers in Earth Sciences
Reseracher: Ioan Sanislav (Associate Professor and Director, Resources and Critical Minerals Trailblazer)
Start Date: 01 Jan 2023
Title: JCU Award for Excellence-Research Group Geology
Reseracher: Ioan Sanislav (Associate Professor and Director, Resources and Critical Minerals Trailblazer)
Start Date: 01 Jan 2017
Title: Expert reviewer - European Union GeoEra program
Reseracher: Ioan Sanislav (Associate Professor and Director, Resources and Critical Minerals Trailblazer)
Start Date: 01 Jan 2018
Title: James Cook University Rising Star
Reseracher: Matt Field (Professor, Promotional Chair)
Start Date: 01 Jan 2018
Title: JCU Award for Excellence in the category of Research
Reseracher: Nicholas Murray (Professor, Global Ecology and Conservation)
Start Date: 01 Jan 2022
Title: Associate Editor of Frontiers in Bioengineering and Biotechnology - Biosensors and Biomolecular Electronics
Reseracher: Yang Liu (Associate Professor, Analytical Chemistry)
Start Date: 01 Jan 2022
Title: Research Abroad Scholarship, The University of Adelaide, Australia
Reseracher: Mostafa Rahimi Azghadi (Professor, Promotional Chair)
Start Date: 01 Jan 2012
Title: Associate Professor, James Cook University
Reseracher: Nicholas Murray (Professor, Global Ecology and Conservation)
Start Date: 01 Jan 2022
End Date: 01 Jan 2025
Title: ARC DECRA Fellow, James Cook University
Reseracher: Nicholas Murray (Professor, Global Ecology and Conservation)
Start Date: 01 Jan 2019
End Date: 01 Jan 2022