Bramsh Qamar Chandio
Post Doctoral Scholar at USC
Interests: Neuro-imaging, Clustering, Machine learning, Image processing, and Statistical analysis.
Email: bqchandi@iu.edu
Biography
Ph.D. from Indiana University Bloomington in the Intelligent Systems Engineering Department. Her research focuses on developing computational methods to analyze brain connectivity from diffusion MRI data. She has worked on creating a robust framework to automate the segmentation of white matter tracts from diffusion MRI data (whole-brain tractograms), unsupervised filtering of outlier streamlines (denoising) in white matter tracts, and perform statistical analysis and shape analysis of extracted white matter tracts to find group differences in white matter tracts across populations. Nonlinear registration algorithm for white matter tracts. All these methods, along with their tutorials, are publicly available through the open-source project DIPY: https://dipy.org/
Education
- PhD in Intelligent Systems Engineering. Indiana University Bloomington, United States of America. (2017-2022)
- Bachelor of Science in Computer Science. National University of Computer and Emerging Sciences, Islamabad, Pakistan. (2013-2017). Under Prime Minister’s National ICT Scholarship