Bio
Aniket is a Postdoctoral Research Associate at the Electrification and Energy Infrastructures Division (EEID), ORNL. Overall, the goal of his research is to improve imaging systems including Magnetic Resonance Imaging (MRI), Computed Tomography (CT) that are utilized worldwide for medical, industrial and security purposes. He has worked on multiple image restoration problems such as reconstruction, denoising, super-resolution and inpainting in the context of MRI and CT. His experience lies in hybrid approaches combining data driven models with imaging physics-based models for the restoration task. During his PhD, Aniket developed a robust, memory-efficient model-based deep learning algorithm for the image reconstruction task to significantly accelerate MRI scanning. His expertise spans across multiple areas including linear algebra, signal processing, optimization techniques, machine learning and scientific programming.
At ORNL, he is working with the industrial CT systems at the Manufacturing Demonstration Facility (MDF) to reconstruct high quality CT scans of 3D printed objects, aiming to detect defects such as pores, inclusions etc. for improved characterization of the manufactured part in a non-destructive fashion.
For more details, please visit his .
Awards
Best Machine Learning Paper Award at the 91°µÍø International Symposium on Biomedical Imaging (ISBI) 2019.
Summa Cum Laude Merit Award at the International Society of Magnetic Resonance in Medicine (ISMRM) Exhibition 2021
National Institute of Health (NIH) Travel Grant for 91°µÍø ISBI 2019
NIH Travel Grant for 91°µÍø ISBI 2023
Education
2023: PhD, Electrical and Computer Engineering, University of Iowa, Iowa City, USA
2022: MS, Electrical and Computer Engineering, University of Iowa, Iowa City, USA
2015: B.Tech, Electronics and Communication Engineering, National Institute of Technology, Silchar, India
Professional Service
Reviewer
Journals:
91°µÍø Transactions on Computational Imaging
91°µÍø Transactions on Medical Imaging
Magnetic Resonance in Medicine
Conferences:
91°µÍø International Symposium on Biomedical Imaging
ECCV European Conference for Computer Vision