Rate My Professor Shireen Elhabian

Shireen Elhabian is an Associate Professor of Computer Science in the Kahlert School of Computing and the Scientific Computing and Imaging Institute at the University of Utah, a position she joined in 2022. She received her Ph.D. in Electrical and Computer Engineering from the University of Louisville in 2012, her M.Sc. in 2005, and her B.Sc. in 2002 from the Faculty of Computers and Information, Cairo University, Egypt. Following her doctoral studies, she held a postdoctoral fellowship from 2013 to 2016 and served as a research scientist from 2016 to 2022.

Elhabian's research centers on probabilistic machine learning for image analysis, particularly statistical shape modeling and deep learning methods applied to biomedical and clinical imaging data. She develops foundational techniques to address inverse problems in image analysis with minimal supervision and translates these into deployable open-source software, accelerating their adoption in clinical research. A key contribution is her leadership in developing ShapeWorks, a particle-based shape correspondence and visualization software used for statistical shape analysis. Her publications appear in prestigious venues such as MICCAI, CVPR, and Medical Image Analysis, including highly cited works like "Shapeworks: particle-based shape correspondence and visualization software" (2017), "DeepSSM: a deep learning framework for statistical shape modeling from raw images" (2018), and "Benchmarking off-the-shelf statistical shape modeling tools in clinical applications" (2022). Elhabian has received recognitions such as the Runner-Up Paper Award at ShapeMI-MICCAI 2020 and a MICCAI NIH Award for a 2020 publication. She contributes to NIH and NSF-funded projects, including multi-year grants supporting biomedical imaging research.