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Aniket Pramanik

Postdoctoral Research Associate

Dr. 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 (Magnetic Resonance Imaging, Computed Tomography etc.) that are useful for several applications. It involves solving inverse problems (reconstruction, denoising, super-resolution etc.) for enhanced imaging performance. His experience lies in physics-guided/model-based deep learning (combination of physics-based and deep-learning models) techniques. 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.

For more details, please visit my personal website.    

Best Machine Learning Paper Award at the IEEE 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 IEEE ISBI 2019

NIH Travel Grant for IEEE ISBI 2023

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



IEEE Transactions on Computational Imaging

IEEE Transactions on Medical Imaging

Magnetic Resonance in Medicine


IEEE International Symposium on Biomedical Imaging

ECCV European Conference for Computer Vision