41 Making MetaDataCount Computer Vision News Computer Vision News Mamunur Rahaman is a PhD candidate in Computer Science and Engineering at the University of New South Wales (UNSW), Sydney, specializing in AI, biomedical imaging, and computational pathology. His research focuses on multimodal deep learning for cancer diagnostics. His talk gave a detailed overview of his PhD journey, beginning with why computational pathology is essential yet difficult to implement effectively. Standard computer vision tools often fall short, requiring specialized data processing to handle varying dataset characteristics. Mamunur shared valuable insights on building a reliable multi-modal framework that delivers consistent predictions across datasets. His first project established a robust, generalizable foundation for histopathology classification, using supervised contrastive learning and strong feature fusion, resulting in highly accurate and dependable predictions. Want to know more about about his projects and the relevant papers? The entire talk can be found on YouTube:
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