Md Mamunur Rahaman is a final-year PhD candidate in Computer Science and Engineering at the University of New South Wales (UNSW), Sydney. His research specializes in the intersection of engineering, biomedical science, and artificial intelligence, focusing on developing advanced image processing techniques and multimodal data integration approaches, including spatial transcriptomics and vision-language models, for computational pathology and computer-aided diagnostics.

His innovative work leverages sophisticated computational algorithms to enhance medical intervention through the analysis of histopathological and microscopic images. Mr. Rahaman has made significant contributions to the field with over 40 peer-reviewed journal and conference papers, achieving an H-index of 23 and accumulating over 2,900 citations on Google Scholar. Notably, six of his papers have been recognized as ESI Highly Cited Papers, ranking in the top 1% of the Engineering field, and his publication in Scientific Reports was ranked among the top 100 cancer research papers of 2023.

He recently completed a prestigious visiting fellowship at the Wallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology and Emory University (December 2024 - April 2025), where he collaborated with Professor Anant Madabhushi's research group on advanced AI and machine vision techniques for computational pathology in cancer research.

Mr. Rahaman earned his Bachelor of Science in Electrical and Electronic Engineering with High Distinction from BRAC University, Bangladesh, and his Master of Biomedical Engineering with Highest Distinction from Northeastern University, China. At Northeastern University, he served as a research assistant in the Microscopic Image and Medical Image Analysis Group from 2021 to January 2022.

In addition to his doctoral research, he serves as a casual academic staff member at UNSW, tutoring courses including Computer Vision (COMP9517), Neural Networks and Deep Learning (COMP9444), and Artificial Intelligence (COMP3411) since May 2022. He also holds editorial positions, including Executive Editor of AI Medicine Journal and Review Editor for multiple Frontiers journals. Additionally, he serves as a reviewer for various prestigious journals across the biomedical engineering and artificial intelligence domains, including IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, Scientific Reports (Nature), Computers in Biology and Medicine (Elsevier), and Artificial Intelligence Review, among others. His extensive peer review contributions span over 20 high-impact journals, demonstrating his recognized expertise in computational pathology, medical imaging, and artificial intelligence applications in healthcare.