
Utsav Akhaury
EPFL SB IPHYS LASTRO
Observatoire de Sauverny
Chemin Pegasi, 51
1290 Versoix
+41 21 693 08 07
Office: SAUV 264
EPFL › SB › IPHYS › LASTRO
Site web: https://lastro.epfl.ch/
My PhD research focused on deconvolving images from large-scale astronomical surveys using AI-based techniques. I developed and validated new algorithms to correct for instrumental and atmospheric blurring, sharpening our view of the universe and enabling more precise scientific measurements of astronomical objects.
Formation
Ph.D. Physics
| Advancing astronomical imaging with deep learning2021 – 2025 École polytechnique fédérale de Lausanne (EPFL)
B.E. Electronics & Instrumentation, M.Sc. Physics
|2016 – 2021 Birla Institute Of Technology And Science (BITS) Pilani
Expériences professionnelles
Doctoral Assistant
Open-source Developer
Research Intern
Research Intern
Prix et distinctions
EPFL PhD Excellence Fellow
École polytechnique fédérale de Lausanne (EPFL)
2023
Young Scientist Support Grant
Swiss Society for Astrophysics and Astronomy (SSAA)
2023
Publications représentatives
Joint multi-band deconvolution for Euclid and Vera C. Rubin images
U. Akhaury, P. Jablonka, F. Courbin, J.-L. Starck
Published in 2025, A&A, 697 in
Ground-based image deconvolution with Swin Transformer UNet
U. Akhaury, P. Jablonka, J.-L. Starck, F. Courbin
Published in 2024, A&A, 688 in
Deep Learning-based galaxy image deconvolution
Utsav Akhaury, Jean-Luc Starck, Pascale Jablonka, Frédéric Courbin, Kevin Michalewicz
Published in 2022, Frontiers in
ShapeNet: Shape Constraint for Galaxy Image Deconvolution
F. Nammour, U. Akhaury, J. N. Girard, F. Lanusse, F. Sureau, C. Ben Ali, J.-L. Starck
Published in 2022, A&A, 663 in
Machine Learning Based Forward Solver: An Automatic Framework in gprMax
Utsav Akhaury, Iraklis Giannakis, Craig Warren, Antonios Giannopoulos
Published in 2022, IEEE in