Research Interests
Computational Imaging, Inverse Problems, Statistical Signal Processing, Machine Learning
Education
Ph.D. - Electrical and Computer Engineering, Purdue University (Advisor: Charles A. Bouman) [thesis]
Master of Science - Electrical and Computer Engineering, Purdue University
Bachelor of Technology - Electronics and Communication Engineering, NIT Trichy
Google Scholar ,GitHub , ORNL Researcher Profile, Twitter
Research Summary
At a high level, my current research aims to aid the development of novel imaging systems (microscopes, cameras, CT scanners, ultrasound systems etc.) by the design of algorithms. The ability to leverage powerful computing platforms using algorithms is greatly expanding the capability of existing imaging systems and will facilitate the design of the next generation of imagers.
My research is focused on the development of algorithms for Computational Imaging systems. In particular, my work has used model-based image reconstruction (MBIR) approaches that combines statistical models for the data and low-dimensional signal models for the underlying quantity to be measured to get the most out of the measurement. The algorithms draw on ideas from diverse fields such as statistical signal processing, image processing, inverse problems and machine learning.
Working closely with inter-disciplinary teams of experimental scientists and image processors, we have demonstrated how these approaches can dramatically improve the imaging capability of electron, X-ray, neutron and ultrasound systems without any additional hardware investments to these expensive instruments. For more information on model-based imaging and the specific applications, please see the respective pages.
Professional Service
Senior Area Editor : IEEE Transactions on Computational Imaging (2024 - )
Associate Editor : IEEE Transactions on Computational Imaging (2018 - 2023)
Journal Referee : IEEE Transactions on Image Processing, IEEE Transactions on Computational Imaging, IEEE Transactions on Medical Imaging, SIAM Journal on Imaging Sciences, Optics Express
Conference Referee : IEEE Conference on Image Processing (ICIP), IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Program Committee Member : Annual AAAI Conference on Artificial Intelligence 2025 Area Chair (Computational Imaging): ICIP 2019
Session Chair : Computational Imaging XI, 2013
Member : IEEE Signal Processing Society
Organizing Committee : Advanced Light Source User Meeting 2016, Center for Applied Mathemat- ics for Energy Research Applications (CAMERA) Workshop on Tomography Algorithms 2016-2019
Elected Member : IEEE Signal Processing Society Technical Committee on Computational Imaging
Session Co-organizer: Recent Advances in Computational Microscopy, Computational Imaging Con- ference 2020-2022; Radiography and Tomographic Imaging, OSA Optics and Imaging Congress 2021; 2nd Workshop on Learning for Computational Imaging , ICCV 2021
Community Engagement: Science Ambassador Lawrence Berkeley National Lab 2015, Oak Ridge National Lab 2018, Engineering Week Representative - Northwest Middle School Knoxville 2019
Mentorship : Oak Ridge High School Mathematics Thesis (2018-2019, 2020-2021)