Visiting Fellow
Mamunur Rahaman is a visiting fellow focused on two projects. First, the HNSCC Multi-Modal Histopathology Analysis involves analyzing head and neck squamous cell carcinoma (HNSCC) using multi-modal histopathology data. This goal is to extract SpaTIL and Collagen features from samples (oropharynx, oral cavity, and larynx) to evaluate predictive biomarkers for prognosis.
The second project, Gene Expression Prediction in Prostate Cancer, involves developing computational models to predict gene expression directly from H&E-stained prostate images by leveraging spatial transcriptomics data.
Mamunur is passionate about advancing the frontiers of computational methods in the biomedical domain. His interests focus on developing innovative image processing algorithms and software systems to support computer-assisted diagnostics. He enjoys applying deep learning, computer vision, and sophisticated data analytics to extract meaningful insights from complex biomedical images. Ultimately, he strives to bridge the gap between computational research and clinical application by creating robust, efficient tools that enhance diagnostic accuracy and inform medical interventions.
Mamunur is visiting from the School of Computer Science & Engineering, UNSW, Sydney, Australia, where he has tutored for courses including Computer Vision, Neural Networks and Deep Learning, and Artificial Intelligence, helping students grasp complex concepts and enhance their analytical skills. He previousl served as a research assistant for the Microscopic Image & Medical Image Analysis Group at Northeastern University, China, where he contributed to cutting-edge biomedical image analysis research by developing innovative techniques and tools, and actively participated in the publication of research findings.
Mamunur is a doctoral candidate in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney, who also earned a master's of engineering degree in biomedical engineering from Northeastern University, China, and a BS degree in electrical and electronics engineering from BRAC University, Dhaka, Bangladesh.