College of Science & Engineering


Sophia Love

Sophia Love

Elle Robertson

Elle Robertson

Romain Vaucher

Romain Vaucher

Jenny Fisher

Jenny Fisher

Ambili Narayanan

Ambili Narayanan

Sarfaraz Ali

Sarfaraz Ali

Tom Lloyd

Tom Lloyd

Using pheromones to understand Australia's diverse lizard fauna (Old ID 22866)
Conrad Hoskin - Zoology & Ecology
09 Jul 2016 - 08 Jul 2017
This project will investigate the mating pheromones of a cryptic species complex of geckos (Heteronotia binoei) to determine how pheromones vary between populations and genetic lineages within and between species. There are 13 genetic lineages in total within these four species. I expect that pheromones will differ significantly between divergent lineages within each species. I will then perform behavioural experiments to confirm that phermone divergence can result in reproductive isolation. If so, pheromones will be an informative taxonomic character for these morphologically conservative groups, and will contribute to our understanding of vertebrate diversity in the Australian tropics.
Using pheromones to understand Australia's diverse lizard fauna (Old ID 22866)
Megan Higgie - Zoology & Ecology
09 Jul 2016 - 08 Jul 2017
This project will investigate the mating pheromones of a cryptic species complex of geckos (Heteronotia binoei) to determine how pheromones vary between populations and genetic lineages within and between species. There are 13 genetic lineages in total within these four species. I expect that pheromones will differ significantly between divergent lineages within each species. I will then perform behavioural experiments to confirm that phermone divergence can result in reproductive isolation. If so, pheromones will be an informative taxonomic character for these morphologically conservative groups, and will contribute to our understanding of vertebrate diversity in the Australian tropics.
Virtual Reality 3D First Aid Training Scene Capture Solution (Old ID 23632)
Eric Wang - Engineering
15 Sep 2017 - 31 Dec 2018
To provide a much more immersive experience for first aid training, the funding body - Rescue Swag is seeking a solution to replace the conventional 2D first aid scene capture solution. This project is aiming at design a 3D stereoscopic shooting solution using the high definition camera, including both system design, hardware and software solutions. At the end of this project, a system will be experience, and improve the training outcomes.
Exploring the nexus between environment, emotion and spatial cognition: a test using Melomys cervinipes (Old ID 22683)
Tasmin Rymer - Zoology & Ecology
01 May 2016 - 30 Nov 2016
The loss of environmental complexity in tropical rainforests due to anthropogenic deforestation is a major threat to mammals. How an animal copes with these changes may be dependent on integrated physiological, behavioural and cognitive responses to environmental stimuli. The aim of this study is to investigate whether environmental complexity influences these responses of Malomys cervinipes. I predict that animals from complex habitats will demonstrate lowered anxiety and stress and will show enhanced learning and performance in a cognitive behavioural task. This study is the first to investigate the links between environmental complexity, physiology, behaviour and cognition in an Australian mammal.
Development of digital apps to facilitate insurance eligibility verification and post-event claim filing for Fijian homeowners - TASK 1 Design software framework and logic flow (Old ID 26517)
Bruce Belson - Engineering
15 May 2019 - 30 Sep 2019
This project follows on from CTS developing a structural engineering basis for vulnerability models for different housing types in Fiji, for the World Bank and Tower Insurance. The scope covers stage 1 of a 6 stage program to develop digital applications for use by Fijian homeowners to: (a) seek eligibility for cyclone (wind damage) insurance; and (b) initiate claims post event.
Water flow ecology: How reef structure and water flow shape the world of fishes (Old ID 27855)
David Bellwood - Marine Biology & Aquaculture
01 Apr 2023 - 31 Mar 2026
This project aims to understand how coral reef fishes interact with their whole environment. Currently, we have some understanding of how fishes interact with the 3D reef, but not the water which flows around it. I will explore how water flow changes around a complex reef and how fishes use this flow. This project will quantify water flow on a biologically relevant scale, a scale which is often overlooked. It will provide a crucial stepping stone to further ecological research on coral reefs.
Application of a machine learning approach for effective stock management of abalone (Old ID 26742)
Ickjai Lee - Information Technology
24 Jul 2020 - 31 Aug 2022
Determining the number and size distribution of abalone present at various stages of production is critical information for effective stock management. Currently the Australian abalone aquaculture industry spends in the order of $25,000 per annum, per farm, gathering this information by hand. However, the resulting data is of mediocre quality, is limited in its scope, and collecting the data causes stress to the animals which can compromise growth and survival. Automated counting and measuring of abalone will increase farm efficiency and productivity in the short term and, in the longer term, will provide an advanced platform for further R&D improvements. Artificial intelligence and machine learning has now matured to a point that accurately counting and measuring abalone is possible using this approach. This project would involve the development, training and validation of a machine learning model to identify, segment and measure quantitative abalone traits in production systems, and render the product data to be accessible and applicable for farmers.
Application of a machine learning approach for effective stock management of abalone (Old ID 26742)
Kyungmi Joanne Lee - Information Technology
24 Jul 2020 - 31 Aug 2022
Determining the number and size distribution of abalone present at various stages of production is critical information for effective stock management. Currently the Australian abalone aquaculture industry spends in the order of $25,000 per annum, per farm, gathering this information by hand. However, the resulting data is of mediocre quality, is limited in its scope, and collecting the data causes stress to the animals which can compromise growth and survival. Automated counting and measuring of abalone will increase farm efficiency and productivity in the short term and, in the longer term, will provide an advanced platform for further R&D improvements. Artificial intelligence and machine learning has now matured to a point that accurately counting and measuring abalone is possible using this approach. This project would involve the development, training and validation of a machine learning model to identify, segment and measure quantitative abalone traits in production systems, and render the product data to be accessible and applicable for farmers.
Rehabilitating Bare Ground in the Southern Gulf Region to Improve Drought Resilience (Old ID 27902)
Paul Nelson - Earth & Environmental Sciences
20 Jan 2023 - 30 Jun 2024
The project will monitor and evaluate the effectiveness of bare ground rehabilitation techniques on improving drought resilience on cattle grazing properties throughout the Southern Gulf region of north-west Queensland. Detailed on-ground measurement, coupled with remote sensing techniques, will be used to evaluate changes in soil and vegetation condition as a result of rehabilitation approaches trialled. The project will be underpinned by extensive communication and engagement activities. Ultimately, the project will deliver new knowledge to support more drought resilient, sustainable and profitable cattle production in tropical north Queensland, and other parts of northern Australia.
Asian House Gecko Research (Old ID 22520)
Megan Higgie - Zoology & Ecology
04 Mar 2016 - 31 Jan 2017
Research o the calling behaviour and movements of Asian House Geckos. This project will use experiments and field data to assess the determinants of calling behaviour in the Asian House Geckos. The results will be used to refine methods for detecting this invasive species. The research will also include a mark-recapture field study to understand the scalel of movements of Asian House Geckos in urban and bushland areas.
Reseracher: Myles Menz (Senior Lecturer, Zoology and Ecology)
Start Date: 01 Jan 2013
End Date: 01 Jan 2018
Reseracher: Myles Menz (Senior Lecturer, Zoology and Ecology)
Start Date: 01 Jan 2009
End Date: 01 Jan 2013
Reseracher: Myles Menz (Senior Lecturer, Zoology and Ecology)
Start Date: 01 Jan 2006
End Date: 01 Jan 2008
Reseracher: Myles Menz (Senior Lecturer, Zoology and Ecology)
Start Date: 01 Jan 2000
End Date: 01 Jan 2003
Start Date: 01 Jan 2004
End Date: 01 Jan 2009
Start Date: 01 Jan 2012
Reseracher: Ickjai Lee (Professor - Promotional Chair)
Start Date: 01 Jan 2009
Start Date: 01 Jan 2007
Reseracher: Iti Chaturvedi (Lecturer, Information Technology)
Start Date: 01 Jan 2022