- 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.