Sahar Ahmad

Sahar Ahmad is a Research Instructor in the Department of Radiology at the University of North Carolina at Chapel Hill School of Medicine, holding this position since June 2022 after serving as a Postdoctoral Research Associate at the same institution from July 2017 to May 2022.

She earned her Ph.D. from the National University of Sciences and Technology in Islamabad, Pakistan, between 2012 and 2016.

Dr. Ahmad specializes in medical imaging with expertise in neuroimaging, computational anatomy, and machine learning applications for infant brain development. Her research focuses on developing advanced image processing techniques including super-resolution, deformable registration, and deep learning models for analyzing pediatric MRI data, significantly contributing to understanding early brain growth and structural changes.

Analysis of her 14 publications (2018-2025) reveals consistent innovation in computational neuroimaging, particularly in infant brain MRI analysis. Her work spans atlas construction, longitudinal brain development modeling, and GAN-based image synthesis, with high-impact contributions in journals like Nature Communications and NeuroImage. Recent publications demonstrate increasing sophistication in multimodal brain mapping and developmental trajectory prediction.

Dr. Ahmad actively contributes to scientific discourse through peer review for journals including Nature Communications, Scientific Data, and PLOS One, though no specific awards are documented in available records.

She maintains active collaboration within UNC Chapel Hill's radiology research ecosystem, particularly in projects involving infant brain imaging and computational tool development, though specific lab affiliations or grant details aren't explicitly stated in the source material.