My name is Shirin Shoushtari, and I am a fourth-year Ph.D. student in the Department of Electrical and Systems Engineering (ESE) at Washington University in St. Louis. I am a member of the Computational Imaging Group (CIG Lab), advised by Professor Ulugbek Kamilov.
My research focuses on computational imaging, medical image analysis, inverse problems, and distribution shift in learning-based reconstruction methods. I am particularly interested in developing algorithms that enhance the robustness and interpretability of imaging systems.
Before joining Washington University, I earned my B.Sc. and M.S. degrees in Electrical Engineering (Communication Systems) from Sharif University of Technology, Tehran, Iran, in 2017 and 2020, respectively. I began my Ph.D. studies at Washington University in January 2022.
đź“° News
- October 2025 – Our paper “Closed-Form Approximation of the Total Variation Proximal Operator” has been accepted for publication in IEEE Transactions on Computational Imaging (TCI).
- September 2025 – Released a new preprint “Analysis Plug-and-Play Methods for Imaging Inverse Problems.”
- May 2025 – Co-authored “Measurement Score-Based Diffusion Model” (preprint).
- May 2025 – Released the preprint “Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models.”
- February 2025 – Co-authored “FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration.”
- May 2024 – Our paper “Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis” was accepted to ICML 2024.
- September 2024 – Our paper “Block Coordinate Plug-and-Play Methods for Blind Inverse Problems” was accepted to NeurIPS 2024.
- December 2023 – Our paper “Convergence of Nonconvex PnP-ADMM with MMSE Denoisers” was selected as a Finalist for the Best Paper Award at CAMSAP 2023.
- March 2022 – Joined the CIG Lab at Washington University as a Ph.D. student.
- January 2022 – Started my Ph.D. in Electrical and Systems Engineering at Washington University in St. Louis.