Dr Mamunur Rahaman is a Research Fellow at the Centre for Health Informatics (CHI), Australian Institute of Health Innovation (AIHI), Macquarie University. He works at the intersection of artificial intelligence, computational pathology, and translational biomedical research, developing clinically meaningful multimodal AI methods that integrate histopathology with molecular, spatial, and clinical data to advance cancer diagnosis, prognostic assessment, and treatment stratification.

Dr Rahaman completed his PhD in Computer Science and Engineering at UNSW Sydney (2026), supervised by Professor Erik Meijering, Professor Anant Madabhushi, and Associate Professor Ewan Millar. His doctoral research spanned deep learning for histopathology image analysis, spatial transcriptomics-guided modelling, vision-language learning, and multimodal foundation-model approaches for data-efficient and zero-shot medical AI.

He has authored over 40 peer-reviewed journal and conference papers, with an H-index of 25 and more than 3,500 citations on Google Scholar. His research has received international recognition, including four ESI Highly Cited Papers ranked in the top 1% of the Engineering field globally, and a Scientific Reports publication ranked among the top 100 cancer research papers of 2023. In 2025, he was recognised by ScholarGPS as a Highly Ranked Scholar (Prior Five Years) in Histopathology, placing in the top 0.05% of scholars worldwide for research productivity, impact, and quality.

His academic appointments include a Visiting Fellowship at the Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University (Dec 2024–Apr 2025), a Visiting Researcher appointment at the Technical University of Munich (Oct 2025), and a Postdoctoral Writing Fellowship at UNSW Sydney (Nov 2025–Jan 2026).

In his current role at Macquarie University, Dr Rahaman is advancing AI-driven research in computational pathology, spatial transcriptomics, and precision oncology, with expanding work in motor neurone disease (MND) leveraging gene expression data for translational neurological disease analysis. He also contributes to the research community through editorial service as Associate Editor at Frontiers in Oncology—Breast Cancer, Executive Editor at AI Medicine Journal, and Topic Editor at MDPI for the topic "Computational Pathology and AI-Driven Approaches in Cancer Diagnosis and Prognosis", alongside peer review for over 20 leading journals including IEEE Transactions on Medical Imaging and IEEE Journal of Biomedical and Health Informatics.

He holds a BSc in Electrical and Electronic Engineering (High Distinction) from BRAC University, Bangladesh, and a Master of Biomedical Engineering (Highest Distinction) from Northeastern University, China.