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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)

Understanding and design of new multiferroic materials

Using first-principle theory and calculation, this project will investigate puzzling complex phenomena in multiferroics with the aim of designing new multiferroic materials for the more...

Supervisor(s): Stampfl, Catherine (Professor)

Exploring the field-dependent structural evolution of ferroelectric materials using in-situ transmission electron microscopy

This project aims to investigate the dynamical field-dependent structural responses of ferroelectric materials under mechanical and electrical excitations at different temperatures more...

Supervisor(s): Liao, Xiaozhou (Professor)

FPGA control of photonic systems

This project involves the design of novel control systems to improve the efficiency of photonic systems. more...

Supervisor(s): Leong, Philip (Professor)

FPGA-based low latency machine learning

This project involves the design of novel low-latency trading systems by combining FPGA hardware and machine learning. more...

Supervisor(s): Leong, Philip (Professor), Jin, Craig (Associate Professor), McEwan, Alistair (Professor)

Electromagnetic Simulation of Complex Dynamic Environments to Assist Cognitive Active Perception

  Active perception involves moving a sensor to maximise information gain about the local environment. Cognitive radar goes even further, to change the sensor parameters themse more...

Supervisor(s): Johnson, David (Dr)

Mechanism and control of diamond and graphene-based nanostructures using direct electric-field and laser excitation

To investigate the sculpting of carbon-based structures through controlled electric field and/or laser excitation, through first-principles based calculations. more...

Supervisor(s): Stampfl, Catherine (Professor)

Nano-catalysts for carbon neutral futures: Conversion of CO2 into valuable chemicals

To investigate functionalized porous nano-composites for advanced physical and chemical processes to convert CO2 to valuable chemicals from theory and computations. more...

Supervisor(s): Stampfl, Catherine (Professor)

Quantum transport in molecule/carbon-based nanostructures for new molecular electronic devices

Various projects available in the field molecular electronics and sensors. Large scale ab initio calculations will be used to investigate and predict novel structures and systems. A more...

Supervisor(s): Stampfl, Catherine (Professor)

Customising the acidity of novel nano-catalysts for desired catalytic reactions

To investigate through first principles calculations, the fundamental physics and chemistry of novel solid acid nano-catalysts with the overall goal of understanding and predicting more...

Supervisor(s): Stampfl, Catherine (Professor)