Maude GirardinEnseignement et PhD Cours Algèbre linéaire (pour CMS) PREPA-002 Le but du cours est de familiariser les étudiants avec les notions fondamentales de l'algèbre linéaire à travers leur étude géométrique en dimension 3. Analyse A (pour MAN) PREPA-031(a) Ce cours donne les outils de base pour le calcul algébrique et pour la résolution d'équations et d'inéquations sur les nombres réels et complexes. Le cours explore l'étude des fonctions spéciales et sert de base au cours de calcul
Marcelo Baquero RuizEnseignement et PhD Doctorant·es actuel·les Michael Goddijn, Cyrille Sepulchre A co-dirigé les thèses EPFL de Kadi Lyes Roland Cours Fusion and industrial plasma technologies PHYS-632 The course provides an overview of the technologies that are essential for fusion developments and for industrial plasma applications, highlighting the synergies between the two fields. The aim is to provide a combined theoretical and experimental background to the various topics. Physique générale : mécan
Johanni Michael BreaEnseignement et PhD Doctorant·es actuel·les Aude Maier, Lucas Louis Gruaz, Flavio Martinelli Cours Biological data science II : machine learning BIO-322 Les étudiants comprennent les concepts et méthodes de base d'apprentissage automatique. Ils savent les décrire en termes mathématiques et ils savent les appliquer aux données en utilisant un langage de haut niveau (julia/python/R). Intelligence artificielle et société HUM-286 Ce cours intègre les SHS avec les sciences de l'
Marie Estelle Solange ViolayEnseignement et PhD Doctorant·es actuel·les Cindy Mikaelian, Francesco Lazari, Franco Matías Robbiano Muñoz, Karin Andrea Hofer Apostolidis, Andrea Mazzeo A dirigé les thèses EPFL de Felipe Orellana, Mateo Acosta, Chiara Cornelio, Corentin Noël, Federica Paglialunga, Antoine Guggisberg Cours Designing Testing Machines for Geomechanics ME-700 Géologie CIVIL-211 Les ingénieurs civils exercent leurs activités en constante interaction avec le sous-sol.Le cours de géologie donne
Amaury Pierre Jiezhi WeiExpertise
Deep Learning, Computer Vision, Physics Informed Machine Learning, Graph Neural Networks
Amaury a obtenu son Master en Robotique de l'Ecole Polytechnique Federale de Lausanne (EPFL) en 2021. Avant de rejoindre IMOS, il a travaillé pendant plusieurs années en tant que Software Engineer chez Logitech Europe S.A. dans le domaine de la Réalité Virtuelle et Augmentée. Il a développé des algorithmes de 6DoF tracking pour appareils portables, développé le firmware et conçu la stratégie de testing industr
Brice Tanguy Alphonse LecampionI am currently an assistant Professor and the head of the Geo-Energy Lab - Gaznat Chair on GeoEnergy at Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland. Prior to joining EPFL, I have worked for Schlumberger in research and development from 2006 until May 2015 - serving in a variety of roles ranging from project manager to principal scientist in both Europe and the United States. I received my PhD in mechanics from Ecole Polytechnique, France in 2002 and worked as a research scientist in the hydraulic fracturing research group of CSIRO division of Petroleum resources (Melbourne, Australia) from 2003 to 2006. During my time in Schlumberger R&D, I have worked on problems related to the integrity of deep wells, large scale monitoring of reservoir deformation and more specifically on the stimulation of oil and gas wells by hydraulic fracturing. My current research interests cover hydraulic fracture mechanics, mechanics of porous media and dense suspensions flow.
Chen LiuI am a PhD candidate at the School of Computer and Communication Sciences (IC), École Polytechnique Fédérale de Lausanne (EPFL), supervised by Prof. Sabine Süsstrunk and co-supervised by Dr. Mathieu Salzmann. Previously, I obtained my Master Degree from École Polytechnique Fédérale de Lausanne (EPFL) in 2017 and Bachelor Degree from Tsinghua University in 2015, both in Computer Science.
Boris BonevI hold degrees in Aerospace Engineering and Physics from the University of Stuttgart. During my Master studies I have specialized in the field of numerical simulation methods for fluid problems. I visited Prof. Hesthaven at EPFL in 2015 to work on my Master thesis. We worked on applying the Discontinuous Galerkin methods to the Shallow Water Equations in order to simulate large-scale Tsunami events such as the 2008 Tohoku tsunami. In February 2017 I joined MCSS as doctoral student. In my PhD thesis I study fast approximate solvers, that can be used as preconditioners for wave problems.
Nicolò RipamontiI received my Bachelor’s degree in Mathematical Engineering from Polytechnic University of Milan (PoliMi). During my master studies, I took part in the double degree program between EPFL and Polimi in Computational Science and Engineering which I completed with a thesis on Structure-Preserving Model Order Reduction under the supervision of Professor Hesthaven. As part of this program, I have done a six-months internship at Sony EuTEC in Stuttgart, where I worked on Compressive Sensing and Machine Learning applied to signal recovery. Following graduation in 2018, I have joined the MCSS chair as PhD student.
Anna Timonina-FarkasAnna Timonina-Farkas is a scientific researcher in the field of Operations Research and Operations Management at TOM EPFL. Her focus is on theory and data-driven solution methods in multi-stage optimization under model and decision-dependent uncertainties. Before joining EPFL, she served as a Research Scholar at the Risk, Policy and Vulnerability program at the International Institute for Applied Systems Analysis (Vienna, Austria), developing optimal governmental strategies for natural disaster risk-managem
Elias Per Joachim Le BoudecAwards Best Thesis Award EPFL Electrical Engineering Doctoral Program 2025 Best Student Paper Award 2025 AP-RASC, URSI 2025 Young Scientist Award 2025 AP-RASC, URSI 2025
