Dhani Dharmaprani

Dr Dhani Dharmaprani

Future Making Fellow

Australian Institute for Machine Learning - Operations

Division of Research and Innovation

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

Dr. Dhani Dharmaprani is a Biomedical Engineer and Future Making Fellow at the Australian Institute for Machine Learning (AIML), University of Adelaide. As a biomedical engineer, her overarching research vision is to transform cardiovascular health through pioneering digital technologies and innovative analytical approaches. A focal point of this ambition has been cardiac fibrillation, the predominant cause of cardiac hospitalisations which imposes a $1.25billion/annum burden on Australia. To help address this, her current research explores computational, analytical, and machine learning approaches to better understand the mechanisms underlying this cardiac abnormality.

Her specific research projects in this domain include signal processing, patient-specific 'virtual hearts' or cardiac digital twins – personalised digital representations of the heart, and metrics to gauge cardiac behaviour and treatment efficacy – currently being used clinically by cardiologists at Flinders Medical Centre.

Dhani is also currently affiliated with the Cardiac Signals Analysis Lab led by Professor Anand Ganesan at Flinders University, and has also recently had the great pleasure of visiting the Personalised Computational Modelling (PCM) lab at Queen Mary University London under the mentorship Dr Caroline Roney, and Professor Steven Niederer at the Cardiac Electromechanics Group (CEMRG) at Imperial College London.

Research areas:

  • Signal processing
  • Computational modelling
  • Machine learning
  • Cardiac electrophysiology and cardiology

Available research projects:

  • Developing Patient-Specific Cardiac Digital Twins Using Clinical Data: This project focuses on creating highly personalised digital models of patients' hearts using clinical data. 

  • Translating Clinical Metrics to Computational Models: This project involves integrating clinical metrics into computational models of cardiac arrhythmias.

  • Signal Processing of Cardiac Patient Data: This project involves analysing and interpreting cardiac signal data from patients, and developing metrics/algorithms to understand cardiac mechanisms.

  • Appointments

    Date Position Institution name
    2024 - ongoing Future Making Fellow University of Adelaide
    2023 - 2023 Visiting Scholar Queen Mary University of London and Imperial College London
    2020 - 2023 Postdoctoral Research Fellow Flinders University
  • Language Competencies

    Language Competency
    English Can read, write, speak, understand spoken and peer review
    Indonesian Can read, write, speak and understand spoken
  • Education

    Date Institution name Country Title
    Flinders University Australia PhD
    Flinders University Australia Bachelor of Engineering (Biomedical) (Honours)


2024  Future Making Fellowship, University of Adelaide
This fellowship is being undertaken at the Australian Institute for Machine Learning, and will focus on research to develop computational and precision medicine tools for cardiology using modelling, machine learning and signal processing.

2022  The Hospital Research Foundation Heart Health Innovation Grant ($125,000).
This grant is being used to help develop Australia’s first advanced 3D models of cardiac fibrillation in collaboration with King’s College London and Queen Mary University of London. Simultaneously, I will transfer critical computational cardiac modelling skills/ expertise within Australia. (CIA Dharmaprani).

2021  Medical Research Future Fund Cardiovascular Health Mission Grant ($604,000).
This grant is being used to develop novel real-time software to translate my research into the clinical setting and allow use in patients. (CIA, Ganesan, CIB Dharmaprani).

2021  National Health and Medical Research Council Ideas Grant ($1,160,000).
This grant is being used to fund human clinical trials and explore cardiac fibrillation through a multi-center study, which is based on my PhD research findings. (CIA, Ganesan, CID Dharmaprani).

2020  Tom Simpson Trust Equipment Grant, administered through the National Heart Foundation of Australia ($15,000).
To fund the purchase and development of Australia’s first optical mapping system (CI Dharmaprani).

2019      Heart Rhythm Society Travel Scholarship ($1,000USD).

2019      Hospital Research Foundation Travel Scholarship ($3,500).

2019      Flinders University RHD Travel Grant ($500).


1. Flinders University Early Career Alumni Award, 2023

2. Science and Technology's Superstars of STEM, 2023-2024

3. Finalist 7News Young Achiever Award (STEM), 2023

4. Flinders University Vice Chancellor's Award for Early Career Researchers, 2022

5. Women In Innovation Winnovation Awards Finalist for categories of: i) Engineering, ii) Maths & Data, iii) Technology, and winner for Maths & Data, 2022

6. Fresh Science's South Australian Fresh Scientist, 2021

7. Flinders University Dean (Education) Award for Excellence in Teaching Special Mention, 2021

8. Heart Rhythm Society (HRS) Young Investigator Award Finalist, 2021

9. Cardiac Electrophysiology Society (CEPS) Young Investigator Award Finalist, 2021

10. Flinders University College of Medicine and Public Health Publication Award, 2019

11. Cardiac Electrophysiology Society (CEPS) Young Investigator Award Finalist, 2019

12. Asia Pacific Heart Rhythm Society (APHRS) Young Investigator of the Year Finalist, 2019

13. Flinders University 3-Minute Thesis Competition Finalist, 2019

14. 3x Travel Grants

15. Cardiac Society of Australia and New Zealand (CSANZ) Heart Rhythm Prize winner, 2018

16. Asia Pacific Heart Rhythm Society (APHRS) Young Investigator of the Year, 2018

17. Most Outstanding Biomedical Engineering Honours or Masters project, 2016


1. Featured in News Corp's '25 Influential Australian Female Scientists' national article, 2023

2Featured in The Advertiser's '21 South Aussies to Watch in 2023' article, 2023

3. Featured in RAA SAMove's 'South Australians Driving Change' article, 2023

Previous Teaching

  • Analysis of Engineering Systems/Signals and Systems
  • Biomedical Instrumentation
  • Biomaterials
  • Medical Device Innovation
  • Professional Skills
  • Position: Future Making Fellow
  • Phone: 83134204
  • Email: dhani.dharmaprani@adelaide.edu.au
  • Campus: Lot 14
  • Building: Australian Institute for Machine Learning Building, floor Ground Floor
  • Room: G.29
  • Org Unit: Australian Institute for Machine Learning - Operations

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