Zakia Khatun is an early-stage researcher specializing in AI and Medical Imaging. She holds a PhD in Engineering (Biomedical) from Reykjavík University, where she developed AI-driven tools to improve the diagnosis and prognosis of human soft tissue pathologies, particularly tendinopathy. Her research, funded by the EU H2020-MSCA-ITN-EJD-2020 program, aimed to reduce human bias and error in medical image interpretation by enhancing consistency and accuracy. Zakia’s broader interests lie in applying machine and deep learning techniques to healthcare, focusing on advancing medical image analysis and enhancing diagnostic accuracy.
PhD in Engineering, H2020-MSCA-ITN-EJD
Reykjavík University, Iceland
Erasmus Mundus Joint Master Degree in Medical Imaging and Applications
University of Burgundy, France; University of Cassino, Italy; University of Girona, Spain
BSc in Electrical & Electronic Engineering
American International University-Bangladesh, Bangladesh