Person

Jean-Paul Richard Kneib

About this result

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Related units (3)

Laboratory of Astrophysics

ESC - Space Innovation

ESC - eSpace

Courses taught by this person (4)

PHYS-101(j): General physics : mechanics

Le but du cours de physique générale est de donner à l'étudiant les notions de base nécessaires à la compréhension des phénomènes physiques. L'objectif est atteint lorsque l'étudiant est capable de pr

PHYS-345: Introduction to astrophysics: the basics

Presentation générale des méthodes et des connaissances de l'astrophysique moderne permettant d'illustrer notre perception et notre compréhension de l'univers. Ce cours constitue la base pours les cou

MICRO-453: Robotics practicals

The goal of this lab series is to practice the various theoretical frameworks acquired in the courses on a variety of robots, ranging from industrial robots to autonomous mobile robots, to robotic dev

Related publications (228)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

Radio halo detection in MWA data using deep neural networks and generative data augmentation

Jean-Paul Richard Kneib, Emma Elizabeth Tolley

Detecting diffuse radio emission, such as from haloes, in galaxy clusters is crucial for understanding large-scale structure formation in the universe. Traditional methods, which rely on X-ray and Sunyaev-Zeldovich (SZ) cluster pre-selection, introduce bia ...

OXFORD UNIV PRESS2025

S-R2D2: a spherical extension of the R2D2 deep neural network series paradigm for wide-field radio-interferometric imaging

Jean-Philippe Thiran, Jean-Paul Richard Kneib, Emma Elizabeth Tolley

Recently, the R2D2 paradigm, standing for ‘Residual-to-Residual DNN series for high-Dynamic-range imaging’, was introduced for image formation in Radio Interferometry (RI) as a learned version of the traditional algorithm CLEAN. The first incarnations of R ...

Oxford University Press (OUP)2025

A method for asteroid detection using convolutional neural networks on VST images

Mathieu Salzmann, Jean-Paul Richard Kneib, Elisabeth Andréa Cécile Rachith, Stephan Hellmich

Context. The study of asteroids, particularly near-Earth asteroids, is key to gaining insights into our Solar System and can help prevent dangerous collisions. Beyond finding new objects, additional observations of known asteroids will improve our knowledg ...

2025

People doing similar research (32)

Frédéric Courbin

After his studies in fundamental physics at the University of Paris-XI (Orsay, France), Frédéric Courbin carried out his PhD work between the Astrophysics Institute of the University of Liège (Belgium), Paris Observatory (France), and the European Southern Observatory (Germany). In 1999, he left Europe for three years, taking advantage of the clear skies of Chile to carry out his research using the brand new Very Large Telescope, constructed by Europe in the Atacama desert. In 2004, after two years of a Marie Curie fellowship at the University of Liège, he joint the Laboratory of Astrophysics, where he is now Professor. His main fields of activity are in observational cosmology and extragalactic astrophysics as well as in image and signal processing. In 2018, he was awarded an ERC Advanced Grant in connection with his work in cosmology with gravitational lenses. At EPFL, he is a member of the committee for the Physics Doctoral School since 2013 and has been the tutor of more than 30 PhD students. He is a member of the EPFL Council for the Faculty of Basic Sciences since 2018 and a member of the School Assembly since 2020.

Pascale Jablonka

Pascale Jablonka is a French/Swiss astrophysicist who specializes in the area of galaxy evolution. She earned a doctorate in astrophysics from the University Paris 7- Denis Diderot in France. She then held a postdoctoral fellowship at the Headquarter of the European Southern Observatory (ESO, Germany), before obtaining a position at CNRS (France). She is currently Directrice de Recherche at CNRS and on leave of absence from Paris Observatory in the Laboratoire d'astrophysique of EPFL. Pascale Jablonka conducts both observations and numerical simulations to gain insights into the formation and evolution of galaxies. Her research focuses on three main topics : > Understanding the nature of the first stars in the Universe > Infering the driving parameters of the galaxy star formation histories > Deciphering the impact of the environment on galaxy evolution. Her research exploits ground-based and space telescopes as well as high performance computing facilities.

Georges Meylan

After his PhD thesis in astrophysics in 1985 at the Astronomical Observatory of the University of Geneva, Georges Meylan spent some years as a postdoc at the University of California in Berkeley, USA, and at the Headquarters of the European Southern Observatory (ESO) in Munich, Germany. He then hold senior astronomer positions at ESO in Munich and at the Space Telescope Science Institute (STScI) in Baltimore, USA. Since 2004, he holds the chair of astrophysics at EPFL. His research interests are related to observational cosmology, including the phenomenon of gravitational lensing, quasars and their host galaxies, the formation and evolution of galaxies from the early Universe to the present time, stellar dynamics and stellar populations from the nearby to the most distant galaxies.

Michaela Hirschmann

Gianluca Castignani

Benjamin Yvan Alexandre Clement

Yves Revaz

Yves Revaz is a scientist at LASTRO/EPFL. After successful studies in physics at EPFL, he accomplished his PhD entitled: "Dynamics of external regions of spiral galaxies and constraints on the dark matter", at the Geneva Observatory in the galactic dynamics group of Prof. D. Pfenniger. He then moved to the Paris Observatory to work at the LERMA (Laboratory for Studies of Radiation and Matter in Astrophysics) under the supervision of Prof. F. Combes on the understanding of cooling flows in galaxy clusters. He joined LASTRO at EPFL in 2007, where, in collaboration with Pascale Jablonka, he developed a new TreePM/SPH chemo-dynamical code called GEAR, designed to study the chemical evolution of galaxies. His current main research focus on the evolution of dwarf spheroidal galaxies and their link with the cosmology. Yves Revaz is also the author of pNbody, a parallelized python toolbox designed to manipulate large N-body systems.

David Richard Harvey

Eduardo Sanchez

Varun Sharma