This project investigates how humans recognize and interpret objects based on geometric shape structures using ShapeDNA, a spectral shape descriptor that captures intrinsic geometric properties of 3D forms. The work focuses on understanding the relationship between shape representation and human visual perception, with applications in cognitive modeling, computer vision, and computational neuroscience. By analyzing shape signatures and perceptual responses, the study aims to bridge mathematical shape analysis with human object recognition mechanisms.
Clinical Translation of Advanced Shimming Technology (Siemens Collaboration, Montreal General Hospital)
In collaboration with Siemens and the Montreal General Hospital, this project focuses on translating advanced MRI shimming technology into clinical brain imaging workflows. The work involves improving magnetic field homogeneity to enhance image quality, reduce artifacts, and enable more accurate neurological diagnosis. The research supports the integration of cutting-edge hardware and algorithmic optimization into practical clinical environments, contributing to more reliable and high-resolution brain imaging for medical applications.