PhD Projects Available
The following list represents a selection of projects belonging to our researchers.
Study website for PhD program and application information.
— indicates projects currently recruiting research students. Visit ourMetasurfaces for Augmented Reality: Meta AR
Team: Ranjith Rajasekharan Unnithan
Designing optimal networks on a sphere
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
Team: Chris Manzie
Physics inspired ML for critical infrastructures
Team: Tansu Alpcan
Exploring Haptics for Virtual Reality
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
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
Team: Andrew Zalesky
Computational mass transport
Team: Peter Dower
Computational neuroscience: Simulating brain dynamics and generative modelling of brain networks
Team: Andrew Zalesky, Dr Caio Seguin
Machine learning prediction of biological ageing of the brain and body
Team: Andrew Zalesky
Methods to improve maritime energy efficiency
Team: Chris Manzie
Network communication in the brain
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
Team: Andrew Zalesky, Dr Caio Seguin
Transcranial magnetic brain stimulation for depression
Team: Andrew Zalesky, Dr Robin Cash
Digitally networked dynamical systems: performance and robustness analysis
Team: Michael Cantoni, Ye Pu
Structured networked control systems
Team: Dragan Nesic
When stabilisation and optimisation meet: a codesign approach
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
Team: Erik Weyer
Scenario based model predictive control with application to water resources systems
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
Team: Ampalavanapillai Nirmalathas, Elaine Wong
Programmable RF photonic systems and networks
Team: Ampalavanapillai Nirmalathas, Christina Lim
Advanced methods for intelligent monitoring of fetal wellbeing
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
Team: Marimuthu Palaniswami, Tansu Alpcan, Aravinda Rao
6G Networks: Characterisation of human-to-machine (H2M) traffic
Team: Elaine Wong
Cloudlets for secure human-to-machine (H2M) applications
Team: Elaine Wong
6G Networks: Improving resiliency for human-to-machine (H2M) applications
Team: Elaine Wong
Adapting communication networks for low-latency human-to-machine (H2M) applications
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
Team: David Collins
Connected transport system
Team: Majid Sarvi
Algebraic, geometric and topological signal processing
Team: Jonathan Manton
Data assimilation
Team: Jonathan Manton
Dynamic modeling for tennis
Team: Jonathan Manton
Foundations of machine learning
Team: Jonathan Manton
Foundations of optimisation
Team: Jonathan Manton
Foundations of stochastic filtering
Team: Jonathan Manton
Foundations of systems neuroscience
Team: Jonathan Manton
FPGA and GPGPU implementations of signal processing algorithms
Team: Jonathan Manton
Manifold learning
Team: Jonathan Manton
Pulse processing for spectroscopy
Team: Jonathan Manton
Random search strategies: modelling and analysis of T cell movement
Team: Jonathan Manton
Real-time adaptive optimisation
Team: Jonathan Manton
Real-time optimisation
Team: Jonathan Manton
Reinforcement learning (stochastic optimisation and game theory)
Team: Jonathan Manton
Reliable computing with unreliable components
Team: Jonathan Manton
Remote sensing for smart sports
Team: Jonathan Manton
Studying the neuronal network of the breathing complex
Team: Jonathan Manton
Studying the neuronal network of the C. Elegans
Team: Jonathan Manton
System identification in biology
Team: Jonathan Manton
System identification in neuroscience
Team: Jonathan Manton
Wireless charging
Team: Jonathan Manton
High frequency RF transceivers and ultrabroadband wireless access networks
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
Team: Robert Schmid, Ying Tan, Denny Oetomo
Optical wireless networking: architectures, systems and technologies
Team: Ampalavanapillai Nirmalathas, Christina Lim Elaine Wong
Individualised cochlear implant sound coding: Optimised algorithms for better hearing
Team: David Grayden, Anthony Burkitt, Demi Gao