Dr. Mubashar’s research interests are multidisciplinary problems which include using artificial intelligence, machine learning, pattern recognition, optimization in different fields of engineering and education.

“Dr Bradley MacDonald is a rural paediatrician and clinician-researcher with expertise in general paediatrics, paediatric cardiology, acute rheumatic fever (ARF), rheumatic heart disease (RHD), rare diseases and rural child health. He works across metropolitan and regional Western Australia through Perth Children’s Hospital, the Rural Clinical School of Western Australia, and regional outreach services, with academic appointments linked to the University of Western Australia and Curtin University. Dr MacDonald’s research focuses on data linkage in ARF/RHD, Indigenous child health and innovative models of care for children with rare and complex conditions in rural and remote communities. He is completing a PhD examining the epidemiology, progression, and outcomes of childhood ARF and RHD using linked population datasets, cardiac imaging, and clinical registries to improve prognostication, healthcare delivery and equity of access. He also serves as Clinical Trial Lead for TrialR within the Rare Care Centre and Medical Lead for the Pilbara Rare Disease Hub Project, supporting adaptive and regionally embedded clinical research and care models. His work has been supported through competitive fellowships and grants including the Raine Foundation Clinical Research Fellowship, Eric Burnard Fellowship (RACP), Future Health Research and Innovation Fund, and Child and Adolescent Health Service Clinician Research Fellowship. Dr MacDonald has presented research nationally and internationally, including at the American Society of Echocardiography, World Congress of Pediatric Cardiology, and Cardiac Society of Australia and New Zealand, where his work has received multiple awards and President’s Circle recognition. He maintains strong interests in medical education, rural workforce development, research translation and consumer-centred healthcare innovation.”

I lead research programs that are aimed at improving the lives of cancer sufferers. Data science pervades the associated research themes which include the analysis of medical imaging, the use of data from oncology clinical trials to generate translational benefits, and the modelling and optimisation of treatment efficacy. This work is undertaken in an industry environment, undertaken within the North Metropolitan Health Service at the Sir Charles Gairdner Hospital.

My research applies data science, decision analytics, and AI-enabled methods to support complex decision-making in transport, policy, and organisations. I focus on sustainable transport, infrastructure appraisal, behavioural analytics, and data storytelling, translating complex data into practical insights for government, industry, and academic audiences. A key part of my work involves developing and applying stratified decision methods, including Stratified Evaluation tools. These methods use scenario-based structures to examine how policies or projects perform under different plausible futures, especially when assumptions, risks, or decision priorities change over time. I also use quantitative and mixed-methods approaches to analyse survey data, transport datasets, stakeholder feedback, and policy evaluation data. My work combines statistical analysis, scenario modelling, visual analytics, and decision-support tools to improve transparency and strategic judgment. More recently, I am exploring AI-assisted workflows for research synthesis, decision-support prototypes, transport safety concepts, and human-centred behavioural data analysis. My broader aim is to use data science and AI not only for prediction, but also for explanation, evaluation, and better decisions in complex real-world systems.

Traffic systems, the weather and climate system are examples of complex systems. I am interested in understanding their dynamics based on the data they produce. I am a member of the Complex System Group within the Department of Mathematics and Statistics. My research is focussed on fundamental advances and applications in the area of complex systems and dynamical systems theory. My research is driven by applications and open questions in areas like traffic engineering, climate analysis and ocean dynamics.