Graduate research programs

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

• Computational Interaction for Design and Creativity Support

  Team: Eduardo Velloso

• Computational modelling of calcium signalling in heart growth

  Team: Vijayaraghavan Rajagopal

• Conceptualising and measuring digital emotion regulation

  Team: Benjamin Tag, Vassilis Kostakos, Greg Wadley, Jorge Goncalves, Wally Smith, Sarah Webber

• 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

• Distributed deep learning for cognitive radio networks

  Team: Tansu Alpcan, Chris Leckie (CIS), Sarah Erfani (CIS)

• Evaluating crowdsourcing contributions in idea contests: Combining humans and machine learning

  Team: Tingru Cui

• 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

• Microscopy image segmentation using machine and deep learning

  Team: Vijayaraghavan Rajagopal

• Miniaturised near infrared spectroscopy

  Team: Jorge Goncalves, Vassilis Kostakos, 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

• Scalable computational cognitive models of the bilingual lexicon

  Team: Lea Frermann

• Smart Hospital

  Team: Vassilis Kostakos

• Social Computing

  Team: Jorge Goncalves

• Social media analytics

  Team: Shanika Karunasekera, Aaron Harwood

• Soft matter informatics: intelligent computational material simulation tool for polymer-colloid assemblies

  Team: Ellie Hajizadeh

• 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.

Find out more