Shireen Elhabian is an Associate Professor of Computer Science at the University of Utah with 11 years of research and academic experience focused on image analysis, computer vision, and machine learning. Her work bridges probabilistic modeling and deep learning to build theoretical foundations and computational methods for inverse problems in imaging, emphasizing both analytic and learned regularizers. She routinely leads interdisciplinary projects that translate method development into real-world impact in healthcare and industry by collaborating with domain scientists. Trained with a PhD in Electrical and Computer Engineering, she couples rigorous theory with practical algorithm design and has progressed from research scientist to faculty leadership within the same institution. An underappreciated aspect of her profile is the consistent emphasis on marrying principled probabilistic approaches with modern data-driven techniques to improve interpretability and robustness in image reconstruction tasks.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering (ECE), Doctor of Philosophy - PhD, Electrical and Computer Engineering (ECE) at University of Louisville
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Shireen Elhabian - Associate Professor Of Computer Science