Graduate research programs
Computing and Information Systems
Research degrees
Students who have a deep interest in computing and information systems, and who have a strong foundation in the computing disciplines through previous study, are invited to apply for entry to the Master of Philosophy (MPhil) and Doctor of Philosophy (PhD) degrees.
Visit the Study website to find out more about:
- Course information
- Entry requirements
- Scholarships: eligibility and application dates
- How to apply
Master of Philosophy (Engineering)
Doctor of Philosophy (Engineering)
Finding a supervisor
Researcher profiles
View our People page for individual staff contact information and research topic areas, or contact staff to arrange a discussion: People.
Research projects recruiting students
Understanding and mitigating unsafe information security behaviours
Team: Reeva Lederman, Ofir Turel
Data and image analysis of arthritis progression
Team: Kathryn Stok, Catherine Davey
Time-lapsed imaging of arthritis progression
Team: Kathryn Stok, Catherine Davey
Social media in community health development
Team: Shanton Chang
Social Media in Education
Team: Shanton Chang, Dana McKay, George Buchanan, Antonette Mendoza
Runtime optimisation of distributed systems using reinforcement learning
Team: Aaron Harwood, Maria Rodriguez Read
Coded computation for machine learning
Team: Jingge Zhu
Information-theoretic analysis of machine learning algorithms
Team: Jingge Zhu
Computer-aided drug design: predicting and mitigating drug toxicity
Team: Douglas Pires
Understanding and predicting readmission to intensive care units
Team: Douglas Pires, Daniel Capurro
Conversational agents and interfaces
Team: Jorge Goncalves
Improving data quality in crowdsourcing
Team: Jorge Goncalves
Social Computing
Team: Jorge Goncalves
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)
Computational Interaction for Design and Creativity Support
Team: Eduardo Velloso
Computational modelling of calcium signalling in heart growth
Team: Vijayaraghavan Rajagopal
Miniaturised near infrared spectroscopy
Team: Jorge Goncalves, Vassilis Kostakos, Eduardo Velloso
New directions in reinforcement learning for game synthesis: contextual adaptation via theory completion and incompletion
Team: Adrian Pearce
Smart Hospital
Team: Vassilis Kostakos
Advanced Process Querying
Team: Artem Polyvyanyy, Marcello La Rosa, Raffaele Conforti
Automated Process Model Repair
Team: Artem Polyvyanyy, Marcello La Rosa, Raffaele Conforti
Robust datamining for medicine
Team: Uwe Aickelin, Pauline Lin
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
Cyber security management
Team: Atif Ahmad, Dr Atif Ahmad, Dr Sean Maynard, Dr Shanton Chang, Dr Moneer Alshaikh, Dr Humza Naseer, Craig Horne
Social media analytics
Team: Shanika Karunasekera
Understanding cortical processing: Neuronal activity and learning in recurrently connected networks
Team: David Grayden, Anthony Burkitt
View the full list of Computing and Information Systems research projects
Doctoral Colloquium
The CIS Doctoral Colloquium is an annual, one day, research conference for graduate research students in the School of Computing and Information Systems.