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 Melbourne School of Engineering 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
Accurate and efficient data integration
Team: Ben Rubinstein, Shen Wang
Advanced Process Querying
Team: Artem Polyvyanyy, Marcello La Rosa, Raffaele Conforti
Adversarial Machine Learning
Team: Ben Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah Erfani, Yi Han
Automated Process Model Repair
Team: Artem Polyvyanyy, Marcello La Rosa, Raffaele Conforti
Classical data structures vs. learned approaches
Team: Renata Borovica-Gajic
Cloudbus
Team: Rajkumar Buyya
CloudSim: A Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services
Team: Rajkumar Buyya
Computational problems in glaucoma diagnosis, monitoring and understanding
Team: Andrew Turpin, Phillip Bedggood
Differential Privacy in Statistical Machine Learning
Team: Ben Rubinstein
Digital commemoration
Team: Martin Gibbs
Dynamics and Control of Infectious Diseases in Structured Populations
Team: Nic Geard
Effective software vulnerability detection for web services
Team: Peter Stuckey, Harald Sondergaard, Peter Schachte
Emerging technologies for enrichment in old age
Team: Jenny Waycott
eSports in Australia
Team: Martin Gibbs, Robert Fordyce (Melbourne Networked Society Institute)
Eye tracking for intelligent user interfaces
Team: Eduardo Velloso
Fog Computing
Team: Rajkumar Buyya
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
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
Instance models for covering and clustering problems
Team: Anthony Wirth
Learning from the good and the bad: Diagnosis and prediction of Business Process Deviances
Team: Marcello La Rosa, Artem Polyvyanyy
Miniaturised near infrared spectroscopy
Team: Jorge Goncalves, Vassilis Kostakos, Eduardo Velloso
QoS-Oriented Cloud Workflow Engine
Team: Rajkumar Buyya
Reconciling Security and Performance for Concurrent Programs
Team: Toby Murray
Sketches in search and retrieval structures
Team: Anthony Wirth, Justin Zobel
Social Computing
Team: Jorge Goncalves
Software-Defined Cloud Computing
Team: Rajkumar Buyya
Ubiquitous Computing & Internet of Things
Team: Vassilis Kostakos, Vassilis Kostakos Jorge Goncalves Eduardo Velloso Greg Wadley
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.