About me
I am a Postdoctoral Research Fellow in the Department of Electrical and Computer Engineering at the University of Michigan, working with Prof. Raj Rao Nadakuditi and Prof. Jeffrey A. Fessler.
I received my Ph.D. in Computational Mathematics, Science and Engineering from Michigan State University in August 2026, where I was a member of the Signals, Learning, and Imaging (SLIM) group, advised by Prof. Saiprasad Ravishankar. Prior to this, I received my M.S. in Electrical Engineering from the Indian Institute of Technology Madras in 2020, where I worked on computational electromagnetics and microwave remote sensing with Prof. Uday K. Khankhoje.
My research interests lie in computational imaging, signal processing, inverse problems, and medical imaging, with a focus on MRI sampling optimization and reconstruction, and learning-based reconstruction algorithms. I am particularly interested in combining signal processing, optimization, and machine learning for accelerated and robust imaging.
News
June 2026: Joined the Department of Electrical and Computer Engineering at the University of Michigan as a Postdoctoral Research Fellow, working with Prof. Raj Rao Nadakuditi and Prof. Jeffrey A. Fessler.
May 2026: Dynamic MRI Reconstruction Via Dual Deep Priors and Low-Rank Plus Sparse Modeling is now available on arXiv (arXiv).
Apr 2026: Successfully defended my Ph.D. in Computational Mathematics, Science and Engineering at Michigan State University.
Feb 2026: Scan-Adaptive Dynamic MRI Undersampling Using a Dictionary of Efficiently Learned Patterns is now available on arXiv (arXiv).
Feb 2026: Two papers, Learning Patient-Adaptive Undersampling Patterns for Cardiac MRI Using Nearest Neighbor Search and Scan-Adaptive Deep Learning-Based Sampling with Pre-Optimized Mask Supervision, were accepted for poster presentation at the 2026 ISMRM Annual Meeting, Cape Town, South Africa.
Jan 2026: Scan-Adaptive MRI Undersampling Using Neighbor-Based Optimization (SUNO) was accepted to IEEE Transactions on Computational Imaging (link).
Dec 2025: Awarded the Ginther Research Fellowship (Spring 2026), Department of Computational Mathematics, Science and Engineering, Michigan State University.
Sep 2025: Learning Scan-Adaptive MRI Undersampling Patterns with Pre-Optimized Mask Supervision is now available on arXiv (arXiv).
Sep 2025: UGoDIT: Unsupervised Group Deep Image Prior via Transferable Weights was accepted to NeurIPS 2025 (link).
May 2025: Learning Robust Features for Scatter Removal and Reconstruction in Dynamic X-Ray Tomography was published in Optics Express (link).
Apr 2025: Received the Outstanding Graduate Student Award, College of Engineering, Michigan State University.
Aug 2024: Received the Ginther Outstanding Research Award, Department of Computational Mathematics, Science and Engineering, Michigan State University.
Apr 2024: Patient-Adaptive and Learned MRI Data Undersampling Using Neighborhood Clustering was accepted to IEEE ICASSP 2024 (link).
Nov 2023: Patient-Adaptive MRI Undersampling Using Neighborhood Clustering was accepted to the Medical Imaging Meets NeurIPS (MedNeurIPS) Workshop, NeurIPS 2023 (link).
Oct 2023: Residual Encoding Using Neural Field for Image Sequence Modeling was accepted to the Asilomar Conference on Signals, Systems, and Computers (link).
Aug 2023: Scatter Removal in Dynamic X-Ray Tomography Using Learned Robust Features was accepted to the Computational Optical Sensing and Imaging meeting (Optica) (link).