About / CV

About me

I am a medical imaging AI researcher based in Brisbane, Australia. My work combines machine learning, structural and diffusion MRI, and quantitative CT to investigate neurological and occupational lung disease. I am particularly interested in how robust image analysis and careful clinical evaluation can turn imaging measurements into useful evidence.

Current appointments

Senior Researcher · I-MED Radiology Network
Clinical AI evaluation, quantitative imaging and occupational lung disease research.

Honorary Fellow · The University of Queensland
Neuroimaging and medical imaging AI research.

Adjunct Lecturer · Charles Darwin University
Appointed September 2026.

Career & education

I completed my PhD in machine learning and neuroimaging at The University of Queensland in 2024, supervised by Professor David Reutens and Associate Professor Viktor Vegh. My doctoral research focused on MRI and machine learning in epilepsy.

My previous research appointments include QIMR Berghofer’s Cerebellum & Neurodegeneration Research Group, UQ’s Centre for Advanced Imaging, and a visiting research role with RBWH Neurology. Earlier research experience at IIIT Sri City and the University of Hyderabad established my foundations in machine learning and feature selection.

Education: PhD, The University of Queensland (2024); M.Tech in Information Technology, University of Hyderabad (2016); MCA (2013) and BCA (2010), West Bengal University of Technology.

Selected recognition & service

PReMI–Springer Student Award (2017) · MICCAI Student Participation Award (2021) · UQ HDR travel support to attend AES (2023).

Academic service includes reviewing for ML4H and programme committee contributions to the ICCV CVAMD workshop.

CV & contact

For a current academic CV, collaboration enquiries or supervision discussions, contact soumen.ghosh@uq.edu.au.

Google Scholar · LinkedIn · GitHub · ORCID