Shirin Shoushtari
Scholar

Shirin Shoushtari

Google Scholar ID: KMx7OKcAAAAJ
Washington University in St.Louis
Computational imagingInverse problemsOut-of-Distribution dataOptimizationDeep Learning
Citations & Impact
All-time
Citations
101
 
H-index
6
 
i10-index
4
 
Publications
20
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • - 'Closed-Form Approximation of the Total Variation Proximal Operator' accepted for publication in IEEE Transactions on Computational Imaging (TCI).
  • - Released preprint 'Analysis Plug-and-Play Methods for Imaging Inverse Problems.'
  • - Co-authored 'Measurement Score-Based Diffusion Model' (preprint).
  • - Released preprint 'Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models.'
  • - Co-authored 'FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration.'
  • - 'Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis' accepted to ICML 2024.
  • - 'Block Coordinate Plug-and-Play Methods for Blind Inverse Problems' accepted to NeurIPS 2024.
  • - 'Convergence of Nonconvex PnP-ADMM with MMSE Denoisers' selected as a Finalist for the Best Paper Award at CAMSAP 2023.
Research Experience
  • Joined CIG Lab at Washington University as a Ph.D. student in March 2022.
Education
  • Earned B.Sc. and M.S. degrees in Electrical Engineering (Communication Systems) from Sharif University of Technology, Tehran, Iran, in 2017 and 2020, respectively. Started Ph.D. studies at Washington University in St. Louis, Department of Electrical and Systems Engineering, in January 2022, advised by Professor Ulugbek Kamilov.
Background
  • Research interests include computational imaging, medical image analysis, inverse problems, and distribution shift in learning-based reconstruction methods. Aims to develop algorithms that enhance the robustness and interpretability of imaging systems.