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School of Engineering, Information Technology and Physical Sciences

Stranieri, Andrew (A/Prof)

Position Associate Professor
Office T136 (T Building, Level 1, South)
Phone +61 3 5327 9283
Fax +61 3 5327 9289
Emaila.stranieri@federation.edu.au

Qualifications

  • BA(Melb)
  • GradDipCompScience(LaTrobe)
  • AdvDipCompScience(LaTrobe)
  • PhD(LaTrobe)

Short biography

I am driven by the need to have my research make an impact in improving healthcare

My early research in artificial intelligence and law combined argumentation theories with machine learning that led to a new approach for developing decision support systems commercialised through a spin-out company in the early 2000’s.

My research in digital health includes spans diverse methodologies from experimental quantitative analyses to diverse forms of qualitative analysis. Research areas include telehealth, intelligent visualisation of health data, streaming data from patient’s wearable sensors to Blockchains, analysis of social media use in healthcare, supporting deliberation between groups of healthcare workers, open banking models of electronic health records, and remote patient monitoring of patients.  My work in remote vital signs sensing has been commercialised through a spin-out company currently trading in India.

I have been named one of  seven Digital Health Disruptors originally from LaTrobe University. I have published over 150 peer reviewed journal and conference articles and two authored books. I have been awarded 7 Australian Research Council grants and supervised 10 PhD students to completion.

Teaching areas

I am passionate about engaging students at all levels to become self-directed, enthusiastic learners that constantly reflect on their practice ready to make contributions to society.

I have taught in:

  • Health informatics
  • Data mining
  • Artificial intelligence
  • Reflective practice
  • Information systems
  • Programming
  • Research methodologies

Research interests

  • Digital Health
  • Blockchains in health
  • Remote patient monitoring
  • Data mining
  • Artificial intelligence applied to law and health
  • Regulation of AI systems