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Utsav Akhaury

EPFLETUEDOCEDPY

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

I’m an engineer with a long-standing passion for AI and computer vision — a passion I turned into a PhD. 

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 learning

2021 – 2025 École polytechnique fédérale de Lausanne (EPFL)

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

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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