Accepting PhD Students

PhD projects

Investigation of Artificial Intelligence (AI) techniques to identify the relationship between neuroimaging and clinical assessments in Friedreich Ataxia. []

A neuroimaging study of individuals with Friedreich Ataxia []

Development of new biomarkers for Huntington's disease via the use of machine learning, artificial intelligence and other computational approaches to predict course of disease over time

Characterise changes in biomarkers (EEG, imaging, fMRI, MEG, FDG-PEG) after Vagus Nerve Stimulation (VNS) treatment in Epilepsy patients with Artificial Intelligence


Research activity per year

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Personal profile


Dr. Susmita Saha is the Research Fellow (Level-B) in Turner Institute of Brain and Mental Health, School of Psychological Sciences, Monash University. She is also working with the iBRAIN group, Department of Neuroscience. In this role, she is responsible for leading the analysis of human structural and susceptibility MRI in neurological diseases as part of TRACK-FA, a world-first, international multi-modal longitudinal neuroimaging study that aims to identify sensitive, clinical trial ready, neuroimaging biomarkers for Friedreich’s ataxia (FRDA).

She is also actively involved in maintaining the global collaboration for the TRACK-FA study, new and innovative project development and grants submission and supervision of graduate research students.

Overall, her research interest lies in medical image analysis, artificial intelligence applications in healthcare, biomedical informatics, neurological/neurodevelopmental disorders, neural modelling and digital transformation of Health.

Prior to this, Dr. Susmita was a Postdoctoral Fellow of CSIRO (Commonwealth Scientific and Industrial Research Organisation) (2018-2021), responsible for the application of artificial intelligence techniques to facilitate very early diagnosis and thus earlier intervention and treatment for neurodevelopmental disorders in preterm infants, for a better outcome. She also worked as a Postdoctoral Researcher at IBM Research Australia during 2015-2017 with the Brain Inspired Computing team.

Dr. Susmita Saha achieved her PhD in May 2016 in Biomedical engineering, The University of Melbourne. The study was conducted as part of the 'Bionic Eye' project in collaboration with Department of Electrical and Electronics Engineering, Department of Anatomy and Neuroscience, The University of Melbourne, National Vision Research Institute, Melbourne, and Bionic Vision Australia. The project involved investigation of synaptic circuitry associated with retinal output neurons in health and disease with immunohistology, electrophysiology, image analytics and signal processing techniques.

Dr. Susmita has published 19 high quality journal and conference articles, including Lancet’s EBioMedicine (IF: 11.2) and NeuroImage (IF: 7.4), and 6 patents. She performed as reviewers in PLOS one, Multimedia Systems, International Journal of Information Management Data Insights and IEEE EMBS International Student Conference 2022. She has had numerous oral presentations and invited talks at leading national and international conferences/seminars. She is also greatly engaged in organising, community and leadership activities. Apart from her University role, Dr. Susmita Saha is carrying out the role of Assistant Secretary of IEEE Victorian Section, 2022-2023 and contributing to develop, enrich and motivate the current and next generation STEM community. She is also a member of IEEE Women in Engineering and IEEE Signal Processing Society. She was an active member of the organising committee of IEEE Women in Engineering International Leadership Summit – Melbourne, 2022. She was a supervisor of STEM work experience program by CSIRO Education and Outreach from 2018 to 2021. Her session was recognized by CSIRO as one of the best pilot projects for virtual work experience program 2019 for high school students. Here is the documentary link made by CSIRO on the session for public promotion:

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy

Education/Academic qualification

Biomedical Engineering, PhD, University of Melbourne

Award Date: 1 May 2016

External positions

Assistant Secretary, IEEE Victorian section

1 Jan 2022 → …

Research area keywords

  • Medical Image Analysis, Artificial Intelligence applications in healthcare, Biomedical Data Processing, Neurological/NeuroDevelopmental Diseases, Computational Neuroscience


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