FEIT Research Project Database

Projects - Computing and Information Systems

• Robust datamining for medicine
  Uwe Aickelin, Pauline Lin
• Advanced Process Querying
  Artem Polyvyanyy, Artem Polyvyanyy, Marcello La Rosa, Raffaele Conforti
• AI language processing for disambiguation and clarification of intent
  Adrian Pearce,
• Aneka: .NET-based Cloud Computing
  Rajkumar Buyya,
• Application of machine learning in quantum control
  M Usman, Udaya Parampalli
• Automated Process Model Repair
  Artem Polyvyanyy, Artem Polyvyanyy, Marcello La Rosa, Raffaele Conforti
• Cloudbus
  Rajkumar Buyya,
• CloudSim: A Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services
  Rajkumar Buyya,
• Collaborative anomaly detection in adversarial environments
  Sarah Monazam Erfani, Chris Leckie (CIS), Tansu Alpcan (EE)
• Computational Interaction for Design and Creativity Support
  Eduardo Velloso,
• Computational modelling of calcium signalling in heart growth
  Vijayaraghavan Rajagopal,
• Computer-aided drug design: predicting and mitigating drug toxicity
  Douglas Pires,
• Conceptualising and measuring digital emotion regulation
  Benjamin Tag, Vassilis Kostakos, Greg Wadley, Jorge Goncalves, Wally Smith, Sarah Webber, Benjamin Tag
• Connected transport system
  Majid Sarvi,
• Conversational agents and interfaces
  Jorge Goncalves,
• Crowd dynamics
  Majid Sarvi,
• Cyber security management
  Atif Ahmad, Dr Atif Ahmad, Dr Sean Maynard, Dr Shanton Chang, Dr Moneer Alshaikh, Dr Humza Naseer, Craig Horne
• Deep symbolic learning and planning
  Adrian Pearce,
• Digital emotion regulation
  Greg Wadley, Jorge Goncalves, Vassilis Kostakos, Wally Smith, Greg Wadley
• Digital Inclusion: Exploring access and equity in access to technologies and online services
  Shanton Chang, Dana McKay
• Digital technology and artificial intelligence for mental health
  Simon D'Alfonso,
• Distributed deep learning for cognitive radio networks
  Tansu Alpcan, Chris Leckie (CIS), Sarah Erfani (CIS)
• Effective browsing interfaces for digital libraries
  George Buchanan,
• Emerging technologies for enrichment in old age
  Jenny Waycott,
• Evaluating crowdsourcing contributions in idea contests: Combining humans and machine learning
  Tingru Cui,
• Explainable Artificial Intelligence
  Timothy Miller, Liz Sonenberg, Eduardo Velloso, Frank Vetere, Mor Vered
• Focused Software Testing through Backwards Program Analysis
  Harald Sondergaard, Peter Schachte, Peter Stuckey, Graeme Gange
• Fog Computing
  Rajkumar Buyya,
• Game theory for cyber defence
  Tansu Alpcan,
• Geographic knowledge base
  Rui Zhang,
• Graph-based complex pattern mining in electronic health records
  Pauline Lin,
• Green Cloud: Energy-Efficient Cloud Computing
  Rajkumar Buyya,
• iFogSim: A Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments
  Rajkumar Buyya,
• Implementation and optimisation of error correction algorithms on NISQ
  M Usman,
• Improving data quality in crowdsourcing
  Jorge Goncalves,
• Learning from the good and the bad: Diagnosis and prediction of Business Process Deviances
  Marcello La Rosa, Marcello La Rosa, Artem Polyvyanyy
• Machine learning and optimization
  James Bailey, James Bailey, Christopher Leckie
• Microscopy image segmentation using machine and deep learning
  Vijayaraghavan Rajagopal,
• Miniaturised near infrared spectroscopy
  Jorge Goncalves, Vassilis Kostakos, Eduardo Velloso
• Modelling the spread and control of infectious diseases in complex populations
  Nic Geard,
• Novel interaction techniques for virtual and augmented reality
  Eduardo Velloso,
• Predicting cancer risk and predisposition from genomics data
  Douglas Pires,
• QoS-Oriented Cloud Workflow Engine
  Rajkumar Buyya,
• Quantum material design by machine learning
  M Usman,
• Reconciling Security and Performance for Concurrent Programs
  Toby Murray,
• Ren Rou Sou Suo: Crowdsourcing in China?
  Shanton Chang,
• Resource allocation for attention in the context of intent (in both cooperative and adversarial settings)
  Adrian Pearce,
• Scalable computational cognitive models of the bilingual lexicon
  Lea Frermann,
• Security analytics
  Christopher Leckie,
• Situated learning for collaboration across language barriers
  Greg Wadley, Trevor Cohn
• Smart Hospital
  Vassilis Kostakos,
• Social Computing
  Jorge Goncalves,
• Social media analytics
  Shanika Karunasekera, Aaron Harwood
• Social media in community health development
  Shanton Chang,
• Social Media in Education
  Shanton Chang, Dana McKay, George Buchanan, Antonette Mendoza
• Soft matter informatics: intelligent computational material simulation tool for polymer-colloid assemblies
  Ellie Hajizadeh,
• Time series in medical datasets
  Goce Ristanoski, Uwe Aickelin
• Transfer learning in industry applied data science
  Goce Ristanoski, Ling Luo
• Ubiquitous Computing & Internet of Things
  Vassilis Kostakos, Vassilis Kostakos Jorge Goncalves Eduardo Velloso Greg Wadley
• Understanding and predicting mortality in intensive care units
  Douglas Pires, Daniel Capurro
• Understanding and predicting readmission to intensive care units
  Douglas Pires, Daniel Capurro
• Understanding cortical processing: Neuronal activity and learning in recurrently connected networks
  David Grayden, David Grayden, Anthony Burkitt
• Using voice assistants for learning
  Tilman Dingler, Vassilis Kostakos
• VetCompass: Big data and real-time surveillance for veterinary science
  Tim Baldwin, Karin Verspoor
• Winner prediction on crowdsourcing contest
  Tingru Cui,