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
Weed ID workshops for rangers and land managers
Daniel Montesinos Torres
01 Sep 2024 - 30 Jun 2025
Development and delivery of pilot worshops on weed identification to rangers, NRM workers, land managers and other relevant audiences. This grant will help to develop and pilot test the workshops that are intended to continue to be delivered beyond the lifetime of the grant.
Artificial intelligence-guided detection of tumour peptides for immunotherapy against therap y-resistant cutaneous squamous cell carcinoma (CSCC)
Ulf Schmitz
01 Jan 2025 - 31 Dec 2026
North Queensland has the highest incidence of CSCC worldwide, which has a huge impact on the local population. With a high tumour mutational burden, CSCC is responsive to immunotherapy, however therapy-resistant CSCC presents a significant challenge. This project aims to detect and select tumour-specific peptides for immunotherapy in patients with therapy-resistant CSCC. The focus on tumour-specific peptides aims to ensure that these peptides are unique to tumour cells, thereby minimising the risk of triggering autoimmunity in treated patients. This innovative approach seeks to enhance the precision and safety of immunotherapies by targeting tumour-specific antigens.
The Queensland Decarbonisation Knowledge Translation Hub Collaborative Research Agreement
Nico Adams
02 Feb 2024 - 31 Dec 2026
Under a Grant agreement between UQ and the Queensland Government, the Queensland Government is establishing a 3 year approach to developing stronger relationships with Queensland Universities to progress decarbonisation of the State’s economy. This sub-agreement underpins JCU contribution in demonstrating that the parties wish to work together in The Queensland Decarbonisation Knowledge Translation Hub (Hub) and engage with each other on various research Projects from time to time relating.
Artificial intelligence-guided detection of tumour peptides for immunotherapy against therap y-resistant cutaneous squamous cell carcinoma (CSCC)
Ludwig Lopata
01 Jan 2025 - 30 Dec 2026
North Queensland has the highest incidence of CSCC worldwide, which has a huge impact on the local population. With a high tumour mutational burden, CSCC is responsive to immunotherapy, however therapy-resistant CSCC presents a significant challenge. This project aims to detect and select tumour-specific peptides for immunotherapy in patients with therapy-resistant CSCC. The focus on tumour-specific peptides aims to ensure that these peptides are unique to tumour cells, thereby minimising the risk of triggering autoimmunity in treated patients. This innovative approach seeks to enhance the precision and safety of immunotherapies by targeting tumour-specific antigens.
How magnetic resonance impacts on immune regulatory factor secretion from brain tumour cells during radiotherapy
Ludwig Lopata
01 Aug 2024 - 30 Jul 2026
AIMS AND OBJECTIVES 1. To investigate how magnetic resonance impacts on brain tumour cell growth and immune regulatory factor secretion from brain tumour cells during radiotherapy 2. To identify and quantify specific immune regulatory factors which are observed during irradiation within a magnetic field.
Closing the circular food economy: Advanced technologies to optimise black soldier fly (BSF) larvae nutritional composition for inclusion in aquafeed
Bronson Philippa
10 Oct 2024 - 30 Jun 2026
Black soldier fly (BSF) biomass is a highly valuable source of nutrients for terrestrial and aquatic animals and has shown to include health promoting compounds that enhances animal production. However, the quality and composition of BSF biomass depends on numerous factors including the BSF stocks, rearing conditions including waste stream diets, post-harvest processing methods and storage conditions. To-date, there is currently little information available on the optimum post-harvest processing technologies and real-time on farm monitoring systems to maximise black soldier fly protein profiles for inclusion in aquafeeds. The objective of this study is to generate on-farm data to improve the nutritional profile of BSF larvae for their application as a substitute component in aquafeed. To achieve this aim, three main studies will be conducted, the first one will focus on generating optimum BSF larvae nutritional data through post-harvest technologies to enhancing BSF larvae composition for aquafeed, the second will focus on the development of a rapid digital diagnostic NIR tool for the real-time evaluation of organic waste streams and BSF larvae composition, and the final study will generate critical data on the effects of feeding BSF larvae on growth performance, gut health and product quality of black tiger marine shrimp.
Closing the circular food economy: Advanced technologies to optimise black soldier fly (BSF) larvae nutritional composition for inclusion in aquafeed
Ludwig Lopata
10 Oct 2024 - 30 Jun 2026
Black soldier fly (BSF) biomass is a highly valuable source of nutrients for terrestrial and aquatic animals and has shown to include health promoting compounds that enhances animal production. However, the quality and composition of BSF biomass depends on numerous factors including the BSF stocks, rearing conditions including waste stream diets, post-harvest processing methods and storage conditions. To-date, there is currently little information available on the optimum post-harvest processing technologies and real-time on farm monitoring systems to maximise black soldier fly protein profiles for inclusion in aquafeeds. The objective of this study is to generate on-farm data to improve the nutritional profile of BSF larvae for their application as a substitute component in aquafeed. To achieve this aim, three main studies will be conducted, the first one will focus on generating optimum BSF larvae nutritional data through post-harvest technologies to enhancing BSF larvae composition for aquafeed, the second will focus on the development of a rapid digital diagnostic NIR tool for the real-time evaluation of organic waste streams and BSF larvae composition, and the final study will generate critical data on the effects of feeding BSF larvae on growth performance, gut health and product quality of black tiger marine shrimp.
Closing the circular food economy: Advanced technologies to optimise black soldier fly (BSF) larvae nutritional composition for inclusion in aquafeed
Leo Nankervis
10 Oct 2024 - 30 Jun 2026
Black soldier fly (BSF) biomass is a highly valuable source of nutrients for terrestrial and aquatic animals and has shown to include health promoting compounds that enhances animal production. However, the quality and composition of BSF biomass depends on numerous factors including the BSF stocks, rearing conditions including waste stream diets, post-harvest processing methods and storage conditions. To-date, there is currently little information available on the optimum post-harvest processing technologies and real-time on farm monitoring systems to maximise black soldier fly protein profiles for inclusion in aquafeeds. The objective of this study is to generate on-farm data to improve the nutritional profile of BSF larvae for their application as a substitute component in aquafeed. To achieve this aim, three main studies will be conducted, the first one will focus on generating optimum BSF larvae nutritional data through post-harvest technologies to enhancing BSF larvae composition for aquafeed, the second will focus on the development of a rapid digital diagnostic NIR tool for the real-time evaluation of organic waste streams and BSF larvae composition, and the final study will generate critical data on the effects of feeding BSF larvae on growth performance, gut health and product quality of black tiger marine shrimp.
JCU-NEEPU joint PhD program-MOU
Jiajia Yang
08 Oct 2024 - 08 Oct 2027
James Cook University and Northeast Electric Power University intend to work towards the establishment of an exchange and training program for postdoctoral and Ph.D. candidates in electrical power systems, renewable energy and electronic information.
JCU-NEEPU joint PhD program-MOU
Jiajia Yang
08 Oct 2024 - 08 Oct 2027
James Cook University and Northeast Electric Power University intend to work towards the establishment of an exchange and training program for postdoctoral and Ph.D. candidates in electrical power systems, renewable energy and electronic information.
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 2019
End Date:
01 Jan 2023
Start Date:
01 Jan 2000
Start Date:
01 Jan 2000
Start Date:
01 Jan 1999
Start Date:
01 Jan 1998
Start Date:
01 Jan 1997
Start Date:
01 Jan 1996
Start Date:
01 Jan 1993
Start Date:
01 Jan 2008
Start Date:
01 Jan 1998
