Sobia Khan

Sobia Khan


I am a Postgraduate Research Student at the UKRI Centre for Doctoral Training (CDT) in Artificial Intelligence for Medical Diagnosis and Care at the University of Leeds since 2022. 

Prior to my enrollment at Leeds, I gained professional experience as a Software Developer in the private sector. My academic background includes the successful completion of a Bachelor of Science (Honours) degree in Software Engineering from the University of Huddersfield, where I attained a distinction.

From the early days of my university education, I have nurtured a deep-rooted passion for making meaningful contributions to the technology sector. It was during this time that my interest in artificial intelligence (AI) developed, particularly through my engagement with AI-related concepts and technologies in my degree program.

Research interests

My PhD project aims to explore the potential of using Machine Learning techniques for the joint segmentation and registration of diffusion-weighted MRI images of the brachial plexus.
The main objective of my research is to develop an AI algorithm that can accurately segment and register the brachial plexus, enabling efficient microstructural modelling for clinical reporting. 

Ryckie Wade, NIHR Academic Clinical Lecturer, Senior Plastic Surgery Registrar, University of Leeds
Dr Nishant Ravikumar, Lecturer in Computer Science, University of Leeds
Irvin Teh, Senior Research Fellow & MRI Lead for Experimental and Preclinical Imaging, University of Leeds
Grainne Bourke, Associate Professor, University of Leeds and Consultant Plastic, Reconstructive and Hand Surgeon, Leeds Teaching Hospitals NHS Trust


  • Software Engineering BSC (Hons)