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Adaptation to variable climate and mitigation of greenhouse emissions in the beef industry

The Livestock in Future Landscapes Program seeks to understand how livestock interact with the environment and how these interactions determine the efficiency of production (growth, more...

Supervisor(s): Gonzalez, Luciano (Associate Professor)

Genomic diversity and adaptation of platypuses

This project focuses on the diversity of adaptive genes in the platypus. more...

Supervisor(s): Gongora, Jaime (Associate Professor)

Light-harvesting complexes: adaptation and efficiency

Different light-harvesting strategy and flexible regulatory mechanism for maximising light-energy capture and their potential application for increasing the biomass and crop product more...

Supervisor(s): Chen, Min (Professor)

Human heat acclimation for sporting events in different environments

The project will assess the optimal heat acclimation strategies for athletes preparing to compete in different environmental conditions. more...

Supervisor(s): Jay, Ollie (Professor)

Comparative Viral Phylodynamics

• Phylodynamics.• Comparative analysis of viral genome sequence data.• Explaining successful cross-species transmission and emergence. more...

Supervisor(s): Holmes, Edward (Professor)

Improving productivity, profitability, sustainability, and animal health and welfare of extensive and intensive beef cattle production using automatic monitoring and management systems

The Livestock in Future Landscapes Program seeks to understand how livestock interact with the environment and how these interactions determine the efficiency of production (growth, more...

Supervisor(s): Gonzalez, Luciano (Associate Professor)

Investigating the genomic diversity of the adaptive and innate immune systems in wild pigs and peccaries

This project focuses on elucidating the genetic diversity and differentiation of the adaptive and innate immune systems in wild pigs (Suidae) and peccaries (Tayassuidae)  more...

Supervisor(s): Gongora, Jaime (Associate Professor)

Machine learning for visual recognition

This research project aims to develop new machine learning methods for various visual recognition tasks such as object/scene recognition, face and human gait recognition, activity r more...

Supervisor(s): Xu, Dong (Professor)

Biometrics (face recognition, human gait recognition or person re-identification)

This research project aims to develop new feature extraction and classification methods for face recognition, human gait recognition or person re-identification. more...

Supervisor(s): Xu, Dong (Professor)

Video analytics (activity and video event recognition)

This research project aims to develop new intelligent video analytics systems for understanding videos. more...

Supervisor(s): Xu, Dong (Professor)