Research projects
The following list represents a selection of projects belonging to our researchers.
— indicates projects currently recruiting research students. Visit our Study website for PhD program and application information.
Seeing the Forest for the Trees: Stochastic Process Discovery
Team: Artem Polyvyanyy
Effective browsing interfaces for digital libraries
Team: George Buchanan
Digital Twin Approaches for Automated Monitoring, Controlling and Improvement of Bioprocesses
Team: Abel Armas Cervantes
Modelling and Optimisation
Team: Uwe Aickelin
Modelling and Optimisation for Validation
Team: Pauline Lin
Modelling and Optimisation for Validation
Team: Uwe Aickelin
Modelling and Optimisation of Unit Operations
Team: Ling Luo
Personal sensing for mental health and wellbeing
Team: Simon D'Alfonso, Vassilis Kostakos
Dislocation-twin boundary interaction in magnesium alloys
Team: Christian Brandl
Conversational agents and interfaces
Team: Jorge Goncalves
Social Computing
Team: Jorge Goncalves
Improving data quality in crowdsourcing
Team: Jorge Goncalves
Designing and Building Smart Clothing
Team: Jarrod Knibbe
Exploring Haptics for Virtual Reality
Team: Jarrod Knibbe
Representing Software for Deep Learning
Team: Christoph Treude
Understanding and mitigating unsafe information security behaviours
Team: Reeva Lederman, Ofir Turel
Maximising trust and reliability in Australian elections
Team: Michelle Blom
Data and image analysis of arthritis progression
Team: Kathryn Stok, Catherine Davey
Time-lapsed imaging of arthritis progression
Team: Kathryn Stok, Catherine Davey
Digital overdiagnosis
Team: Daniel Capurro, Douglas Pires
Healthcare Process Mining
Team: Daniel Capurro
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
Digital inclusion: exploring access and equity in access to technologies and online services
Team: Shanton Chang, Dana McKay
Smart AI enabled technologies for civil infrastructure
Team: Shanaka Kristombu Baduge, Priyan Mendis
Ren Rou Sou Suo: Crowdsourcing in China?
Team: Shanton Chang
Social media in community health development
Team: Shanton Chang
Social Media in Education
Team: Shanton Chang, Dana McKay, George Buchanan, Antonette Mendoza
Intelligent Distributed Systems
Team: Aaron Harwood, Maria Rodriguez Read
Coded computation for machine learning
Team: Jingge Zhu
Information-theoretic analysis of machine learning algorithms
Team: Jingge Zhu
Scalable computational cognitive models of the bilingual lexicon
Team: Lea Frermann
Computer-aided drug design: predicting and mitigating drug toxicity
Team: Douglas Pires
Predicting cancer risk and predisposition from genomics data
Team: Douglas Pires
Understanding and predicting mortality in intensive care units
Team: Douglas Pires, Daniel Capurro
Understanding and predicting readmission to intensive care units
Team: Douglas Pires, Daniel Capurro
Soft matter informatics: intelligent computational material simulation tool for polymer-colloid assemblies
Team: Ellie Hajizadeh
Collaborative anomaly detection in adversarial environments
Team: Sarah Monazam Erfani, Chris Leckie (CIS), Tansu Alpcan (EE)
Microscopy image segmentation using machine and deep learning
Team: Vijayaraghavan Rajagopal
Distributed deep learning for cognitive radio networks
Team: Tansu Alpcan, Chris Leckie (CIS), Sarah Erfani (CIS)
Conceptualising and measuring digital emotion regulation
Team: Benjamin Tag, Vassilis Kostakos, Greg Wadley, Jorge Goncalves, Wally Smith, Sarah Webber
Time series in medical datasets
Team: Goce Ristanoski, Uwe Aickelin
Game theory for cyber defence
Team: Tansu Alpcan
Application of machine learning in quantum control
Team: M Usman, Udaya Parampalli
Implementation and optimisation of error correction algorithms on NISQ
Team: M Usman
Quantum material design by machine learning
Team: M Usman
Graph-based complex pattern mining in electronic health records
Team: Pauline Lin
Computational systems biology and mechanobiology of heart growth
Team: Vijayaraghavan Rajagopal
Situated learning for collaboration across language barriers
Team: Greg Wadley, Trevor Cohn
Miniaturised near infrared spectroscopy
Team: Jorge Goncalves, Vassilis Kostakos, Eduardo Velloso
Using voice assistants for learning
Team: Tilman Dingler, Vassilis Kostakos
Connected transport system
Team: Majid Sarvi
New directions in reinforcement learning for game synthesis: contextual adaptation via theory completion and incompletion
Team: Adrian Pearce
Digital emotion regulation
Team: Greg Wadley, Jorge Goncalves, Vassilis Kostakos, Wally Smith
Smart Hospital
Team: Vassilis Kostakos
Artificial Intelligence-Assisted Online Social Therapy for Youth Mental Health
Team: Simon D'Alfonso
Advanced Process Querying
Team: Artem Polyvyanyy, Marcello La Rosa, Raffaele Conforti
Automated Process Model Repair
Team: Artem Polyvyanyy, Marcello La Rosa, Raffaele Conforti
Explainable Artificial Intelligence
Team: Timothy Miller, Liz Sonenberg, Eduardo Velloso, Frank Vetere, Mor Vered
Modelling the spread and control of infectious diseases in complex populations
Team: Nic Geard
Robust datamining for medicine
Team: Uwe Aickelin, Pauline Lin
Emerging technologies for enrichment in old age
Team: Jenny Waycott
CloudSim: A Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services
Team: Rajkumar Buyya
Green Cloud: Energy-Efficient Cloud Computing
Team: Rajkumar Buyya
iFogSim: A Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments
Team: Rajkumar Buyya
QoS-Oriented Cloud Workflow Engine
Team: Rajkumar Buyya
Cloudbus
Team: Rajkumar Buyya
Machine learning and optimization
Team: James Bailey, Christopher Leckie
Fog Computing
Team: Rajkumar Buyya
Cyber security management
Team: Atif Ahmad, Dr Atif Ahmad, Dr Sean Maynard, Dr Shanton Chang, Dr Moneer Alshaikh, Dr Humza Naseer, Craig Horne
Aneka: .NET-based Cloud Computing
Team: Rajkumar Buyya
Social media analytics
Team: Shanika Karunasekera
Understanding cortical processing: Neuronal activity and learning in recurrently connected networks
Team: David Grayden, Anthony Burkitt