Personal Profile

Biography

Dr. Mehnaz Tabassum is a researcher and educator specializing in Artificial Intelligence and Health Informatics, with a strong academic and research background spanning over 12 years. She currently serves as a Research Assistant at the Centre for Health Informatics, Macquarie University, where her work focuses on applying advanced machine learning and deep learning techniques to solve clinical problems, particularly in neuro-oncology.

She holds a PhD in Health Innovation from Macquarie University, where she developed AI-driven frameworks for brain tumor segmentation, detection, and recurrence prediction. Her research combines radiomics, unsupervised learning, and generative models to enhance diagnostic accuracy and support personalized treatment planning in medical imaging.

With a solid foundation in Computer Science and Engineering, she has extensive experience teaching undergraduate and postgraduate courses across core computing areas such as programming, algorithms, and data structures. Her academic career includes several years in full-time lecturing roles, followed by continued contributions to teaching in parallel with her research.

Her current research interests include cross-modal medical data analysis, explainable AI, foundation models, and the integration of large language models into healthcare applications. She is particularly passionate about interdisciplinary and translational research that addresses real-world clinical challenges.

Dr. Tabassum actively seeks opportunities for collaboration in projects involving AI for medical imaging, multimodal learning, and digital health innovation.