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
Team: Uwe Aickelin
Advanced Process Querying
Team: Artem Polyvyanyy, Marcello La Rosa, Raffaele Conforti
AI language processing for disambiguation and clarification of intent
Team: Adrian Pearce
Anti-learning
Team: Uwe Aickelin, Pauline Lin
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
Clustering, covering, and computational geometry in the MPC model
Team: Anthony Wirth, Junhao Gan
Coded computation for machine learning
Team: Jingge Zhu
Cognition-aware computing
Team: Tilman Dingler
Conversational agents and interfaces
Team: Jorge Goncalves
Critical Media - Building Technologies for Media Literacy and Depolarisation
Team: Tilman Dingler
Decision Support with Uncertain Data
Team: Uwe Aickelin
Deep symbolic learning and planning
Team: Adrian Pearce
Digital technology and artificial intelligence for (youth) mental health
Team: Simon D'Alfonso, Greg Wadley, Reeva Lederman
Emerging technologies for enrichment in old age
Team: Jenny Waycott
eSports in Australia
Team: Martin Gibbs, Robert Fordyce (Melbourne Networked Society Institute)
Fog Computing
Team: Rajkumar Buyya
Game theory for cyber defence
Team: Tansu Alpcan
Geographic knowledge base
Team: Rui Zhang
Graph-based complex pattern mining in electronic health records
Team: Pauline Lin
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 security management
Team: Atif Ahmad, Dr Atif Ahmad, Dr Sean Maynard, Dr Shanton Chang, Dr Moneer Alshaikh
Information-theoretic analysis of machine learning algorithms
Team: Jingge Zhu
Miniaturised near infrared spectroscopy
Team: Jorge Goncalves, Vassilis Kostakos, Eduardo Velloso
Modelling the spread and control of infectious diseases in complex populations
Team: Nic Geard
Novel interaction techniques for virtual and augmented reality
Team: Eduardo Velloso
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
Security analytics
Team: Christopher Leckie
Situation-aware cognitive radio network using machine and deep learning
Team: Tansu Alpcan
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
Ubiquitous Computing & Internet of Things
Team: Vassilis Kostakos, Vassilis Kostakos Jorge Goncalves Eduardo Velloso Greg Wadley
Using voice assistants for learning
Team: Tilman Dingler, Vassilis Kostakos
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.