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Neuromorphic AI

This project involves complex systems modelling of neuromorphic atomic switch networks to emulate emergent brain-like features of adaptive, deep-learning for application to Artifici more...

Supervisor(s): Kuncic, Zdenka (Professor)

Synthetic biology: catalysis inside protein cages

Visit our group website for the latest information - laugroup.netNature is a master of self-assembly, constructing functional nanoscale architectures from simple protein building bl more...

Supervisor(s): Lau, Yu Heng (Dr)

Organic chemistry: Anti-cancer peptide therapeutics

Visit our group website for the latest information - laugroup.net more...

Supervisor(s): Lau, Yu Heng (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)

Organometallics and Catalysis

The projects will focus on novel monometallic and multimetallic transition metal catalysts as well as new methodologies for catalysis and developing surface supported catalysts. The more...

Supervisor(s): Messerle, Barbara (Professor)

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)

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)

Data-intensive solutions for medical technologies

This project aims at developing advanced solutions in software for processing medical data, addressing the issue of less or no labelled data. more...

Supervisor(s): Kavehei, Omid (Dr)

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)