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

Coastal acidification in the benthic boundary layer on inshore reefs: implications on water chemistry and benthic communities (Old ID 24986)
Mia Hoogenboom
15 Mar 2018 - 14 Mar 2023
This project will investigate the effects of coastal acidification on the waters within the benthic boundary layer, as well as the implications for important coral reef organisms and communities present in this area. I aim to (a) understand the dynamics and responses of this microenvi9ronment and its constituents with respect to coastal acidification and temperature, and (b) improve current predictions on the reef's ability to recover after acute stresses, such as bleaching or cyclone damage, under an increasingly acidifying ecosystem.
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.
Comparing the use of underwater video and unmanned aerial vehicles for assessing use of tropical estuaries by marine fauna (Old ID 27583)
Nathan Waltham
01 Jul 2022 - 01 Jul 2023
Remote underwater video (RUV) is considered an established method for elucidating fish community structure but little work has been done to assess the optimal number of cameras required to precisely assess species richness. Unmanned aerial vehicles (UAVs), on the other hand have remained completely untested for this purpose. Using the two methods in tandem (RUVs and UAVs), this project aims to compare established (RUV) and novel (UAV) methodologies for determining fish community structure and determine how may cameras are required to accurately and precisely assess the use of large woody debris by fish.
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.
Genomic tools for monitoring yellow crazy ants. (Old ID 29026)
Ira Cooke
22 Jun 2023 - 01 Jan 2025
This project will establish protocols and baseline data for ddRAD-seq based sequencing of yellow crazy ants. In this phase of the project, we will sequence 200 individuals from historical infestations and develop tools to assess genetic relatedness among infestations. Baseline data established in this project will be used to help trace the origin of future infestations as well as improve our understanding of genetic diversity and gene flow in yellow crazy ants in Queensland.
Genomic tools for monitoring yellow crazy ants. (Old ID 29026)
Megan Higgie
22 Jun 2023 - 01 Jan 2025
This project will establish protocols and baseline data for ddRAD-seq based sequencing of yellow crazy ants. In this phase of the project, we will sequence 200 individuals from historical infestations and develop tools to assess genetic relatedness among infestations. Baseline data established in this project will be used to help trace the origin of future infestations as well as improve our understanding of genetic diversity and gene flow in yellow crazy ants in Queensland.
From Coastal Communities to Cloud Communities – New Application and Artificial Intelligence to Monitor Fish Stocks Using Photos – Application Development (Old ID 26805)
Ickjai Lee
28 Feb 2020 - 12 Dec 2020
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.
From Coastal Communities to Cloud Communities – New Application and Artificial Intelligence to Monitor Fish Stocks Using Photos – Application Development (Old ID 26805)
Kyungmi Joanne Lee
28 Feb 2020 - 12 Dec 2020
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)
Tasmin Rymer
13 Jul 2015 - 12 Jul 2016
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)
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
Title: Senior Member of the IEEE (Institute of Electrical and Electronics Engineers)
Reseracher: Bronson Philippa (Associate Professor, Electronic Systems and IoT Engineering)
Title: Assistant Editors: Journal of Aquaculture Research and Innovation
Reseracher: Simon Das (Research Fellow - Grouper Nutrition)
Start Date: 01 Jan 2025
Title: Associate Professor, James Cook University
Reseracher: Lucas Cernusak (Professor)
Start Date: 01 Jan 2018
End Date: 01 Jan 2023
Title: Senior Lecturer, James Cook University
Reseracher: Lucas Cernusak (Professor)
Start Date: 01 Jan 2016
End Date: 01 Jan 2017
Title: ARC Future Fellow, James Cook University
Reseracher: Lucas Cernusak (Professor)
Start Date: 01 Jan 2013
End Date: 01 Jan 2015
Title: ARC Future Fellow, The Australian National University
Reseracher: Lucas Cernusak (Professor)
Start Date: 01 Jan 2011
End Date: 01 Jan 2012
Title: ARC Postdoctoral Fellow, Charles Darwin University
Reseracher: Lucas Cernusak (Professor)
Start Date: 01 Jan 2007
End Date: 01 Jan 2010
Title: Postdoctoral Fellow, Smithsonian Tropical Research Institute
Reseracher: Lucas Cernusak (Professor)
Start Date: 01 Jan 2005
End Date: 01 Jan 2007
Title: Research Associate, Charles Darwin University
Reseracher: Lucas Cernusak (Professor)
Start Date: 01 Jan 2004
End Date: 01 Jan 2005
Title: PhD Plant Science, The Australian National University
Reseracher: Lucas Cernusak (Professor)
Start Date: 01 Jan 2000
End Date: 01 Jan 2004