Ashutosh

Ashutosh Gupta

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

  1. IEEE ICIP 25
    Deep Unsupervised Despeckling With Unbiased Risk Estimation
    , , T. Blu , N. Dube , and S. Raman
    In IEEE International Conference on Image Processing (ICIP), 2025
    DOI Cite Download .bib
    @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}, pages = {893-898}, title = {Deep Unsupervised Despeckling With Unbiased Risk Estimation}, url = {https://ieeexplore.ieee.org/document/11084619}, year = {2025} }

2021

  1. arXiv 21
    Image denoising in FPGA using generic risk estimation
    R. Varghese , , , and D. Dhar
    arXiv preprint arXiv:2111.08297, 2021
    Cite Download .bib
    @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

  1. ICVGIP 16
    A distribution-independent risk estimator for image denoising
    B. K. Subramanian , , and 
    In Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2016
    Cite Download .bib
    @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} }
  2. ICVGIP 16
    How much can a Gaussian smoother denoise?
    S. V. Gubbi , , and 
    In Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2016
    Cite Download .bib
    @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} }