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Computational intelligence, novelty generation and undecidability

The research will involve theoretical work in computational intelligence as well as computer simulations with cellular automata and other dynamical systems. It will aim to answer fu more...

Supervisor(s): Prokopenko , Mikhail (Professor)

Artificial Intelligence in Ion Channel Drug Discovery

Application of machine learning and artificial intelligence methods to develop models predictive of drug activity, selectivity, stability and distribution. The project will be condu more...

Supervisor(s): Balle, Thomas (Associate Professor)

Computational characterisation of trans-regulatory cell systems

This project aims provide enabling computational and statistical methods for characterising trans-regulatory networks in cell systems. The goal is to discover regulatory networks th more...

Supervisor(s): Yang, Pengyi (Dr)

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)

Controlled atomisation of liquid sprays

This PhD project will look at the development, validation and application of computational models for the atomisation of liquid sprays. The successful candidate will work with novel more...

Supervisor(s): Cleary, Matthew (Associate Professor)

Guided Self-Organisation and Swarm Engineering

Funding is available for applicants interested in carrying out fundamental and applied research in the field of complex systems. The research will involve theoretical work as well a more...

Supervisor(s): Prokopenko , Mikhail (Professor)

Whole-system robotic perception: From photons to actions

This work will build two-way information flows between the imaging, mapping, and control systems of a robot, allowing operation in previously inaccessible dynamic and interactive sp more...

Supervisor(s): Dansereau, Donald (Dr)

Modelling cascades of failures in interdependent networks

The research will involve theoretical work in information theory and network science, as well as computer agent-based simulations. It will study fragility of modern civil infrastruc more...

Supervisor(s): Prokopenko , Mikhail (Professor)

Emergence of universal coding in evolutionary dynamics

The research will involve theoretical work in information theory as well as computer simulations. It will investigate complex systems approaches to one of the most fundamental probl more...

Supervisor(s): Prokopenko , Mikhail (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)