Ali Ghayoor earned his master’s degree in electrical engineering in 2010 and joined the college of engineering at the University of Iowa, in 2011. Ghayoor is currently pursuing his doctoral degree in electrical and computer engineering with a focus on medical image processing.
Ali is working to develop an extensible automated processing pipeline to apply novel cutting-edge methods of in vivo diffusion MRI analysis in large-scale multi-center studies.
He is also studying on novel methods that use the complementary information provided by diffusion-weighted imaging (DWI) data to enhance the classification and registration results previously generated from structural MRI data alone. His thesis research is about super-resolution of diffusion-weighted images using enhanced multi-spectral classification results.
Ali’s other areas of interest include highly deformable and multi-resolution image registration, and automatic detection of anatomical landmarks in MRI scans of the human brain.