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Health burden of chronic diseases

This research project aims to model the health burden of chronic diseases and their comorbid conditions using Markov models, Bayesian statistics and Complex network. more...

Supervisor(s): Uddin, Shahadat (Dr)

Disease Map - Big Data driven modelling and derivation of diseases and treatment response

BMIT excels at addressing bio-inspired and other real-world challenges with core computing and information technology research in image processing and informatics, computer vision, more...

Supervisor(s): Feng, David (Professor), Kim, Jinman (Associate Professor)

Machine learning in Multiscale Image-Omics

BMIT excels at addressing bio-inspired and other real-world challenges with core computing and information technology research in image processing and informatics, computer vision, more...

Supervisor(s): Feng, David (Professor), Kim, Jinman (Associate Professor)

Semantic-driven Multi-modal Biomedical Data Visualisation

BMIT excels at addressing bio-inspired and other real-world challenges with core computing and information technology research in image processing and informatics, computer vision, more...

Supervisor(s): Kim, Jinman (Associate Professor), Feng, David (Professor)

Computerised image analysis of musculoskeletal diagnostics and surgical planning

This research opportunity covers the projects for Diagnostic Imaging Theme of the ARC Centre for Innovative BioEngineering,  a multidisciplinary collaboration among researchers more...

Supervisor(s): Kim, Jinman (Associate Professor), Feng, David (Professor), Kumar, Ashnil (Dr)

Predictive disease modelling using Big data analytics and Complex network methods

This research project aims to mine administrative claim dataset to develop predictive models for individual chronic disease as well as for the comorbidity of multiple chronic diseas more...

Supervisor(s): Uddin, Shahadat (Dr)

Exploring the complexity of complex (mega) projects

Owing to unexpected emerging behaviour, interdependencies among participating stakeholders and wider scope, today's projects are becoming more complex. Understanding the complex nat more...

Supervisor(s): Uddin, Shahadat (Dr)

Understanding disease progression and comorbidities using multi-omics and clinical information

This research project aims at exploring clinical and multi-omics data to improve our present understanding of disease progression, transition and comorbidities. To achieve this aim, more...

Supervisor(s): Uddin, Shahadat (Dr)