Nashid Alam

Nashid is responsible for supervising students, participating in the activities of the Centre for Digital Life and working with research groups.

Her research interests are in computational (machine-learning based) analysis of medical images (especially focusing on mammographic and histopathology data) and the development of decision-support tools for medical professionals. She is motivated by unmet clinical needs that involve early disease detection and improved treatment outcomes. Nashid was involved in the area of medical image understanding, pattern recognition, statistical methods, texture-based segmentation, and feature-detection techniques.

Nashid has previous experience in supervising undergraduate and postgraduate students in the field of digital image processing and machine learning. She is always keen to supervise PhD students. Students with ideas that overlap with her research interests are welcome to contact her.