मालवीय राष्ट्रीय प्रौद्योगिकी संस्थान जयपुर (राष्ट्रीय महत्व का संस्थान)
Malaviya National Institute of Technology Jaipur (An Institute of National Importance)
Department of Artificial Intelligence & Data Engineering
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4

Journal Publications

1

Research Projects

Qualifications
  • Ph.D.(Computer Science and Engineering) from IIT Jammu(2023)
    M. Tech.(Computer Science and Engineering) from Sant Longowal Institute of Engineering and Technology Sangrur Punjab(2018)
    B .Tech.(Computer Science and Engineering) from Himachal Pradesh Technical University(2016)
Research Interests

Computer Vision, Image Processing, Deep Learning, Image/Video Super Resolution, Quality Assessment of Synthesized Views.

Brief Research Profile

I have received a Ph.D. in Computer Science from the Indian Institute of Technology Jammu in 2023. After PhD, I have also worked as an institute post-doc fellow at IIT Madras. I have a keen interest in super- resolution, visual perception, multimedia perceptual quality, image processing, quality assessment and enhancement, and artificial intelligence. My contributions to the field have been published in various high-impact journals and conferences. I was also part of the runner-up team in the IEEE ICASSP 2021 Signal Processing Grand Challenge on COVID-19 Diagnosis. I am also the recipient of the prestigious PhD Industrial Exposure Fellowship offered by Indo-German Science Technology Centre (IGSTC), 2021. My Webpage: https://sadbhawnathakur.github.io/

Professional Background
  • Institute post-doc fellow at IIT Madras [16 May 2023 - 10 January 2024].
    Institute Early-doc Fellow at IIT Jammu [10 January 2023 - 10 April 2023].
    Research Intern at K|Lens GmbH [10 March 2022 - 10 September 2022].

  • Computer Organization and Architecture
  • CST310 Computer Graphics
  • Neural Networks
  • Programming with Python
  • Technical Documentation and Presentation

    2024
  • D. Mumtaz, Sadbhawna, V. Jakhetiya, B. N. Subudhi and W. Lin,, "Non-Subsampled Contourlet Transform and Ground-Truth Score Generation Based Quality Assessment for DIBR-Synthesized Views" , IEEE Transactions on Multimedia (IEEE) Volume :26 / / 2024 DOI: 10.1109/TMM.2024.3372837
    • 2022
  • Sadbhawna, V. Jakhetiya, D. Mumtaz, B. N. Subudhi and S. C. Guntuku, "Stretching Artifacts Identification for Quality Assessment of 3D-Synthesized Views" , IEEE Transactions on Image Processing (IEEE) Volume :31 / / 2022 DOI: 10.1109/TIP.2022.3145997
  • Sadbhawna, V. Jakhetiya, S. Chaudhary, B. N. Subudhi, W. Lin and S. C. Guntuku, "Perceptually Unimportant Information Reduction and Cosine Similarity-Based Quality Assessment of 3D-Synthesized Images" , IEEE Transactions on Image Processing (IEEE) Volume :31 / / 2022 DOI: 10.1109/TIP.2022.3147981
  • Sadbhawna, V. Jakhetiya, B. N. Subudhi, S. P. Jaiswal, L. Li and W. Lin, "Context Region Identification Based Quality Assessment of 3D Synthesized Views" , IEEE Transactions on Multimedia (IEEE) Volume :25 / / 2022 DOI: 10.1109/TMM.2022.3206660

Title Total Outlay
(In Lacs)		 Year Funding Agency Role
Zero-shot Real-world Image/Video Super-Resolution5.002024-2025IIT(BHU)PI