I am interested to solve problems at the interface of machine learning, optimization, and signal processing, with applications to imaging (in particular, medical imaging). I am working on data-driven regularization methods for imaging inverse problems, leading to efficient and provably convergent recovery algorithms, by combining ideas from optimization, machine learning, and Bayesian statistics, among other things.
Principal Investigator
- Efficient, robust, and provably convergent deep learning for imaging inverse problems SRIC, IIT KHARAGPUR
- Task-aware reconstruction and sensing for imaging inverse problems using bilevel learning Anusandhan National Research Foundation (ANRF)
Co-Principal Investigator
- Generative Artificial Intelligence Models for Medical Imaging Software As A Service RASHMI MIND TECHNOLOGIES PRIVATE LIMITED
