Ashutosh Gupta

ME SSA — sponsored by ISRO, Space Applications Centre

Biography

Ashutosh Gupta is currently working as a Scientist/Engineer-SF at the Space Applications Centre, ISRO. His core area of research include satellite data processing, Artificial Intelligence, Computer Vision, Quantum computing and Blockchain technology.

He obtained his B.E. in computer science and engineering in 2009 from government engineering college, Jabalpur. Subsequently, he pursued his Master's degree in System Science and Automation from Indian Institute of Science, Bengaluru in 2016. He is currently pursuing his PhD in Artificial Intelligence from IIT, Gandhinagar.

Ashutosh joined ISRO in 2009 and has contributed in data processing, classical and AI algorithm development and analysis for several ISRO earth observation as well as planetary missions. Beyond academics, he has keen interest in various art forms.

Publications

2025

IEEE ICIP 25

Deep Unsupervised Despeckling With Unbiased Risk Estimation

A. Gupta, C. S. Seelamantula, T. Blu, N. Dube, and S. Raman

In IEEE International Conference on Image Processing (ICIP), 2025

DOI BIB URL

@inproceedings{gupta2025deep,
  author = {Gupta, A. and Seelamantula, C. S. and Blu, T. and Dube, N. and Raman, S.},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  doi = {10.1109/ICIP55913.2025.11084619},
  number = {},
  pages = {893-898},
  title = {Deep Unsupervised Despeckling With Unbiased Risk Estimation},
  url = {https://ieeexplore.ieee.org/document/11084619},
  volume = {},
  year = {2025}
}

2021

arXiv 21

Image denoising in FPGA using generic risk estimation

R. Varghese, C. Seelamantula, A. Gupta, and D. Dhar

arXiv preprint arXiv:2111.08297, 2021

BIB URL

@article{varghese2021image,
  author = {Varghese, R. and Seelamantula, C. and Gupta, A. and Dhar, D.},
  journal = {arXiv preprint arXiv:2111.08297},
  title = {Image denoising in FPGA using generic risk estimation},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:bKqednn6t2AC},
  year = {2021}
}

2016

ICVGIP 16

A distribution-independent risk estimator for image denoising

B. K. Subramanian, A. Gupta, and C. S. Seelamantula

In Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2016

BIB URL

@inproceedings{subramanian2016distribution,
  author = {Subramanian, B. K. and Gupta, A. and Seelamantula, C. S.},
  booktitle = {Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP)},
  title = {A distribution-independent risk estimator for image denoising},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:dQ2og3OwTAUC},
  year = {2016}
}

ICVGIP 16

How much can a Gaussian smoother denoise?

S. V. Gubbi, A. Gupta, and C. S. Seelamantula

In Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2016

BIB URL

@inproceedings{gubbi2016how,
  author = {Gubbi, S. V. and Gupta, A. and Seelamantula, C. S.},
  booktitle = {Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP)},
  title = {How much can a Gaussian smoother denoise?},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:hkOj_22Ku90C},
  year = {2016}
}