Utsav Akhaury

EPFL SB IPHYS LASTRO
Observatoire de Sauverny
Chemin Pegasi, 51
1290 Versoix

My thesis lies at the intersection of Machine Learning, Image Processing, and Astrophysics. I am majorly working on the following:

AI-based image restoration for large-scale space surveys
Joint deconvolution: unifying multi-band Earth-based images with complementary satellite data

Simultaneously, I am also developing user-friendly tools for astronomical image analysis to aid research in galaxy formation & evolution.

B.E. Electronics & Instrumentation, M.Sc. Physics

Dual-degree

Birla Institute Of Technology And Science (BITS) Pilani

2016 - 2021

2023 : SSAA Young Scientist Support Grant : Received a travel grant of 1000 CHF from the Swiss Society for Astrophysics and Astronomy (SSAA)

Publications

U. Akhaury, P. Jablonka, F. Courbin, J.-L. Starck arXiv	Joint multi-band deconvolution for Euclid and Vera C. Rubin images
U. Akhaury, P. Jablonka, J.-L. Starck, F. Courbin 2024, A&A, 688	Ground-based image deconvolution with Swin Transformer UNet
Utsav Akhaury, Jean-Luc Starck, Pascale Jablonka, Frédéric Courbin, Kevin Michalewicz 2022, Frontiers	Deep Learning-based galaxy image deconvolution
F. Nammour, U. Akhaury, J. N. Girard, F. Lanusse, F. Sureau, C. Ben Ali, J.-L. Starck 2022, A&A, 663	ShapeNet: Shape Constraint for Galaxy Image Deconvolution
Utsav Akhaury, Iraklis Giannakis, Craig Warren, Antonios Giannopoulos 2022, IEEE	Machine Learning Based Forward Solver: An Automatic Framework in gprMax