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
Automated Process Model Repair
Team: Artem Polyvyanyy, Marcello La Rosa, Raffaele Conforti
Cloudbus
Team: Rajkumar Buyya
CloudSim: A Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services
Team: Rajkumar Buyya
Coded computation for machine learning
Team: Jingge Zhu
Computational Interaction for Design and Creativity Support
Team: Eduardo Velloso
Computational modelling of calcium signalling in heart growth
Team: Vijayaraghavan Rajagopal
Computer-aided drug design: predicting and mitigating drug toxicity
Team: Douglas Pires
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 inclusion: exploring access and equity in access to technologies and online services
Team: Shanton Chang, Dana McKay
Distributed deep learning for cognitive radio networks
Team: Tansu Alpcan, Chris Leckie (CIS), Sarah Erfani (CIS)
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
Improving data quality in crowdsourcing
Team: Jorge Goncalves
Information-theoretic analysis of machine learning algorithms
Team: Jingge Zhu
Microscopy image segmentation using machine and deep learning
Team: Vijayaraghavan Rajagopal
Miniaturised near infrared spectroscopy
Team: Jorge Goncalves, Vassilis Kostakos, Eduardo Velloso
Predicting cancer risk and predisposition from genomics data
Team: Douglas Pires
QoS-Oriented Cloud Workflow Engine
Team: Rajkumar Buyya
Resource allocation for attention in the context of intent (in both cooperative and adversarial settings)
Team: Adrian Pearce
Runtime optimisation of distributed systems using reinforcement learning
Team: Aaron Harwood, Maria Rodriguez Read
Smart Hospital
Team: Vassilis Kostakos
Social Computing
Team: Jorge Goncalves
Social media analytics
Team: Shanika Karunasekera
Social media in community health development
Team: Shanton Chang
Social Media in Education
Team: Shanton Chang, Dana McKay, George Buchanan, Antonette Mendoza
Soft matter informatics: intelligent computational material simulation tool for polymer-colloid assemblies
Team: Ellie Hajizadeh
Understanding and predicting readmission to intensive care units
Team: Douglas Pires, Daniel Capurro
Understanding cortical processing: Neuronal activity and learning in recurrently connected networks
Team: David Grayden, Anthony Burkitt
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.