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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)

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)

Development of smart materials impedance graded composite materials in blast and impact mitigation

The purpose of this research is to develop novel composite materials and structural systems which have wide range of applications. more...

Supervisor(s): Mohotti, Damith (Dr)

Real-time Low-power Neural Accelerator

This project aims at developing an Application-Specific Integrated Circuit (ASIC) for a low-power learning system processing real-time time-series data. more...

Supervisor(s): Kavehei, Omid (Dr)

Low-power Intelligent Bio-Signal Processing

This project aims at developing a responsive implant that is making decisions based on smart bio-signal processing. more...

Supervisor(s): Kavehei, Omid (Dr)

2D materials – effect of strain on chemical reactivity; and the physics of borophene

Two projects: (i) To study the catalytic properties of 2D structures for the Oxygen Reduction Reaction (ORR) and determine how the catalytic properties are influenced by applying st more...

Supervisor(s): Stampfl, Catherine (Professor)

New self-assembled monolayers for surface modification of surfaces in electronic components

Investigation of the new families of self-assembled monolayers to be used with non-protic solvents. more...

Supervisor(s): Neto, Chiara (Professor)

New liquid-infused surfaces based on wrinkled Teflon

Investigation of the new families of slippery nanostructured surfaces with reduced hydrodynamic drag. more...

Supervisor(s): Neto, Chiara (Professor)

Optimisation of droplet roll-off on patterned surfaces

Investigation through molecular dynamics simulations the surface features that optimise the detachment and roll-off of liquid droplets. more...

Supervisor(s): Neto, Chiara (Professor)

Methods and devices to improve cancer imaging and targeted radiotherapy

Prof Keall's research team is part of Sydney Medical School-Central and is located at the Australian Technology Park. It is a multidisciplinary team of physicists, engineers, mathem more...

Supervisor(s): Keall, Paul (Professor)