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
Robust datamining for medicine
Team: Uwe Aickelin, Pauline Lin
Advanced Process Querying
Team: Artem Polyvyanyy, Marcello La Rosa, Raffaele Conforti
AI language processing for disambiguation and clarification of intent
Team: Adrian Pearce
Application of machine learning in quantum control
Team: M Usman, Udaya Parampalli
Automated Process Model Repair
Team: Artem Polyvyanyy, Marcello La Rosa, Raffaele Conforti
Calcium signalling in cardiac cell growth
Team: Vijayaraghavan Rajagopal, Agne Tilunaite, David Ladd
Cloudbus
Team: Rajkumar Buyya
CloudSim: A Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services
Team: Rajkumar Buyya
Collaborative Anomaly Detection in Adversarial Environments
Team: Sarah Monazam Erfani
Computational Interaction for Design and Creativity Support
Team: Eduardo Velloso
Conversational agents and interfaces
Team: Jorge Goncalves
Cyber security management
Team: Atif Ahmad, Dr Atif Ahmad, Dr Sean Maynard, Dr Shanton Chang, Dr Moneer Alshaikh, Dr Humza Naseer, Craig Horne
Deep symbolic learning and planning
Team: Adrian Pearce
Digital technology and artificial intelligence for mental health
Team: Simon D'Alfonso
Distributed Deep Learning for Cognitive Radio Networks
Team: Tansu Alpcan
Evaluating crowdsourcing contributions in idea contests: Combining humans and machine learning
Team: Tingru Cui
Fog Computing
Team: Rajkumar Buyya
Game theory for cyber defence
Team: Tansu Alpcan
Geographic knowledge base
Team: Rui Zhang
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
Implementation and optimisation of error correction algorithms on NISQ
Team: M Usman
Improving data quality in crowdsourcing
Team: Jorge Goncalves
Miniaturised near infrared spectroscopy
Team: Jorge Goncalves, Vassilis Kostakos, Eduardo Velloso
QoS-Oriented Cloud Workflow Engine
Team: Rajkumar Buyya
Quantum material design by machine learning
Team: M Usman
Resource allocation for attention in the context of intent (in both cooperative and adversarial settings)
Team: Adrian Pearce
Smart Hospital
Team: Vassilis Kostakos
Social Computing
Team: Jorge Goncalves
Social media analytics
Team: Shanika Karunasekera, Aaron Harwood
Software-Defined Cloud Computing
Team: Rajkumar Buyya
Time series in medical datasets
Team: Goce Ristanoski, Uwe Aickelin
Understanding cortical processing: Neuronal activity and learning in recurrently connected networks
Team: David Grayden, Anthony Burkitt
Winner prediction on crowdsourcing contest
Team: Tingru Cui
View full list of Computing and Information Systems research projects
Doctoral Colloquium
The CIS Doctoral Colloquium is an annual, one day research conference for research higher degree students in the School of Computing and Information Systems.