PhD Projects Available

The following list represents a selection of projects belonging to our researchers.

Recruiting — indicates projects currently recruiting research students. Visit our Study website for PhD program and application information.

• Metasurfaces for Augmented Reality: Meta AR Recruiting

  Team: Ranjith Rajasekharan Unnithan

• Designing optimal networks on a sphere Recruiting

  Team: Marcus Brazil

• Collaboration in Complex Tasks for Human-Robot Teams

  Team: Wafa Johal

• Socially Aware Robot Navigation in Human Environments

  Team: Wafa Johal

• Optimal design of an uncrewed vehicle under model uncertainty Recruiting

  Team: Chris Manzie

• Physics inspired ML for critical infrastructures

  Team: Tansu Alpcan

• Exploring Haptics for Virtual Reality Recruiting

  Team: Jarrod Knibbe

• Sensor response model for Chemical/Biological detectors for airborne hazardous materials

  Team: Jonathan Manton, Prof. Jonathan Manton Prof. Bill Moran Prof. len Sciacca

• Smart Grids: Data-driven approaches for the operation and planning of DER-rich distribution networks

  Team: Nando Ochoa

• Smart Grids: Future Distribution System Operators (DSOs)

  Team: Nando Ochoa

• Smart Grids: Grid integration of Distributed Energy Resources (DER)

  Team: Nando Ochoa

• Nanowire photodetectors

  Team: Kenneth Crozier

• Developing AI enabled vision for plastic waste identification and autonomous robotic sorting

  Team: Shanaka Kristombu Baduge, Dr Eric Schoof, Prof Priyan Mendis, Prof Shanika Karunasekara

• Smart AI enabled robotic technologies for plastic waste sorting

  Team: Shanaka Kristombu Baduge, Eric Schoof, Priyan Mendis

• Machine learning and optimisation in 6G networks Recruiting

  Team: Ampalavanapillai Nirmalathas, Tansu Alpcan

• Coded computation for machine learning

  Team: Jingge Zhu

• Information-theoretic analysis of machine learning algorithms

  Team: Jingge Zhu

• Structured codes in wireless communication networks

  Team: Jingge Zhu

• Forecasting techniques for renewable energy sources: performance analysis and economic impact on grid operation

  Team: Maria Vrakopoulou

• Low-carbon power system planning under uncertainty

  Team: Pierluigi Mancarella, Dr Sebastian Puschel

• Machine learning-based planning of low-carbon multi-energy systems

  Team: Pierluigi Mancarella, Dr Lingxi Zhang, Dr Sleiman Mhanna

• Brain mapping with MRI: brain atlases with multiple topographic features Recruiting

  Team: Andrew Zalesky

• Computational mass transport

  Team: Peter Dower

• Computational neuroscience: Simulating brain dynamics and generative modelling of brain networks Recruiting

  Team: Andrew Zalesky, Dr Caio Seguin

• Machine learning prediction of biological ageing of the brain and body Recruiting

  Team: Andrew Zalesky

• Methods to improve maritime energy efficiency

  Team: Chris Manzie

• Network communication in the brain Recruiting

  Team: Andrew Zalesky, Dr Caio Seguin

• Sparse approximation methods for optimal control and stationary action problems

  Team: Peter Dower

• Stochastic decision-making framework: uncertainty versus controllability of Distributed Energy Sources

  Team: Maria Vrakopoulou

• Structure-function coupling in the connectome Recruiting

  Team: Andrew Zalesky, Dr Caio Seguin

• Transcranial magnetic brain stimulation for depression Recruiting

  Team: Andrew Zalesky, Dr Robin Cash

• Digitally networked dynamical systems: performance and robustness analysis

  Team: Michael Cantoni, Ye Pu

• Structured networked control systems Recruiting

  Team: Dragan Nesic

• When stabilisation and optimisation meet: a codesign approach Recruiting

  Team: Dragan Nesic

• Collaborative anomaly detection in adversarial environments

  Team: Sarah Monazam Erfani, Chris Leckie (CIS), Tansu Alpcan (EE)

• Deep learning algorithms for stroke image analysis

  Team: Marimuthu Palaniswami, Aravinda Rao, Nandakishor Desai

• 2D material valleytronics for information processing

  Team: Sejeong Kim

• Carrier-selective contacts for high efficiency silicon solar cells

  Team: James Bullock

• Nano lasers for integrated photonics circuit

  Team: Sejeong Kim

• Modelling and control of irrigation channels

  Team: Erik Weyer, Michael Cantoni

• 2D material heterojunctions for optoelectronic applications

  Team: James Bullock

• Communication theoretical study of molecular communication systems

  Team: Yuting Fang

• Learning of dynamical systems from a finite number of data points Recruiting

  Team: Erik Weyer

• Scenario based model predictive control with application to water resources systems Recruiting

  Team: Erik Weyer, Chris Manzie, Wenyan Wu, Ye Wang

• Distributed deep learning for cognitive radio networks

  Team: Tansu Alpcan, Chris Leckie (CIS), Sarah Erfani (CIS)

• Multiobjective optimisation and path planning for autonomous ground vehicles

  Team: Chris Manzie, Iman Shames

• Strategic competitive decisions on complex systems

  Team: Tansu Alpcan

• Verifiable trusted autonomous systems

  Team: Iman Shames, Chris Manzie

• Multi-modal deep dictionary learning framework for managing smart city assets

  Team: Marimuthu Palaniswami, Karim Seghouane, Aravinda Rao

• Photonics reservoir computing Recruiting

  Team: Ampalavanapillai Nirmalathas, Elaine Wong

• Programmable RF photonic systems and networks Recruiting

  Team: Ampalavanapillai Nirmalathas, Christina Lim

• Advanced methods for intelligent monitoring of fetal wellbeing Recruiting

  Team: Marimuthu Palaniswami, Emerson Keenan

• Fisher-information privacy

  Team: Farhad Farokhi

• Machine learning privacy

  Team: Farhad Farokhi

• Non-stochastic privacy

  Team: Farhad Farokhi

• Privacy of dynamical systems

  Team: Farhad Farokhi

• Photonics platform to transform mobile fronthaul infrastructure

  Team: Christina Lim, Thas Nirmalathas

• Enabling the Internet of Nano-Things via molecular communication

  Team: Yuting Fang, Prof Jamie Evans

• Game theory for cyber defence

  Team: Tansu Alpcan

• Dielectric metasurfaces

  Team: Kenneth Crozier

• Optical nanotweezers

  Team: Kenneth Crozier

• Application of machine learning in quantum control

  Team: M Usman, Udaya Parampalli

• Future low-loss photonic devices at telecomm wavelengths

  Team: M Usman

• Quantum material characterisation by scanning tunnelling microscope imaging

  Team: M Usman

• Quantum material design by machine learning

  Team: M Usman

• Coding techniques for secure control

  Team: Ye Pu

• Dynamic trajectory optimisation for hypersonic flight vehicles

  Team: Chris Manzie, Iman Shames

• Efficient optimisation algorithms for real-time Model Predictive Control

  Team: Ye Pu

• Learning-based Model Predictive Control

  Team: Ye Pu

• Real-time Internet of Things (IoT) for smart transportation Recruiting

  Team: Marimuthu Palaniswami, Tansu Alpcan, Aravinda Rao

• 6G Networks: Characterisation of human-to-machine (H2M) traffic Recruiting

  Team: Elaine Wong

• Cloudlets for secure human-to-machine (H2M) applications Recruiting

  Team: Elaine Wong

• 6G Networks: Improving resiliency for human-to-machine (H2M) applications Recruiting

  Team: Elaine Wong

• Adapting communication networks for low-latency human-to-machine (H2M) applications Recruiting

  Team: Elaine Wong

• Quantised causal inference based on directed information

  Team: Girish Nair, Erik Weyer

• Modulation formats for datacenter

  Team: William Shieh

• Acoustic engineering: microfabrication of acoustic waveguides for non-contact microscale assembly Recruiting

  Team: David Collins

• Connected transport system

  Team: Majid Sarvi

• Algebraic, geometric and topological signal processing Recruiting

  Team: Jonathan Manton

• Data assimilation Recruiting

  Team: Jonathan Manton

• Dynamic modeling for tennis Recruiting

  Team: Jonathan Manton

• Foundations of machine learning Recruiting

  Team: Jonathan Manton

• Foundations of optimisation Recruiting

  Team: Jonathan Manton

• Foundations of stochastic filtering Recruiting

  Team: Jonathan Manton

• Foundations of systems neuroscience Recruiting

  Team: Jonathan Manton

• FPGA and GPGPU implementations of signal processing algorithms Recruiting

  Team: Jonathan Manton

• Manifold learning Recruiting

  Team: Jonathan Manton

• Pulse processing for spectroscopy Recruiting

  Team: Jonathan Manton

• Random search strategies: modelling and analysis of T cell movement Recruiting

  Team: Jonathan Manton

• Real-time adaptive optimisation Recruiting

  Team: Jonathan Manton

• Real-time optimisation Recruiting

  Team: Jonathan Manton

• Reinforcement learning (stochastic optimisation and game theory) Recruiting

  Team: Jonathan Manton

• Reliable computing with unreliable components Recruiting

  Team: Jonathan Manton

• Remote sensing for smart sports Recruiting

  Team: Jonathan Manton

• Studying the neuronal network of the breathing complex Recruiting

  Team: Jonathan Manton

• Studying the neuronal network of the C. Elegans Recruiting

  Team: Jonathan Manton

• System identification in biology Recruiting

  Team: Jonathan Manton

• System identification in neuroscience Recruiting

  Team: Jonathan Manton

• Wireless charging Recruiting

  Team: Jonathan Manton

• High frequency RF transceivers and ultrabroadband wireless access networks Recruiting

  Team: Ampalavanapillai Nirmalathas, Chien Aun Chan, Christina Lim, Ranjith Unnithan, Alan Lee, Robert Delaney

• Communication and computation over erroneous networks

  Team: Girish Nair

• Robust filtering and estimation

  Team: Girish Nair

• Topological feedback entropy for nonlinear control

  Team: Girish Nair

• Modern control methodologies for improving wind turbine performance Recruiting

  Team: Robert Schmid, Ying Tan, Denny Oetomo

• Optical wireless networking: architectures, systems and technologies Recruiting

  Team: Ampalavanapillai Nirmalathas, Christina Lim Elaine Wong

• Individualised cochlear implant sound coding: Optimised algorithms for better hearing

  Team: David Grayden, Anthony Burkitt, Demi Gao