Jan Sickmann HesthavenProf. Hesthaven received an M.Sc. in computational physics from the Technical University of Denmark (DTU) in August 1991. During the studies, the last 6 months of 1989 was spend at JET, the european fusion laboratory in Culham, UK. Following graduation, he was awarded a 3 year fellowship to begin work towards a Ph.D. at Riso National Laboratory in the Department of Optics and Fluid Dynamics. During the 3 years of study, the academic year of 1993-1994 was spend in the Division of Applied Mathematics at Brown University and three 3 months during the summer of 1994 in Department of Mathematics and Statistics at University of New Mexico. In August 1995, he recieved a Ph.D. in Numerical Analysis from the Institute of Mathematical Modelling (DTU). Following graduation in August 1995, he was awarded an NSF Postdoctoral Fellowship in Advanced Scientific Computing and was approinted Visiting Assistant Professor in the Division of Applied Mathematics at Brown University. In December of 1996, he was appointed consultant to the Institute of Computer Applications in Science and Engineering(ICASE) at NASA Langley Research Center (NASA LaRC). As of July 1999, he was appointed Assistant Professor of Applied Mathematics, in September 2000 he was awarded an Alfred P. Sloan Fellowship, as of July 2001 he was awarded a Manning Assistant Professorship, and in March 2002, he was awarded an NSF Career Award. In January 2003, he was promoted to Associate Professor of Applied Mathematics with tenure and in May 2004 he was awarded Philip J. Bray Award for Excellence in Teaching in the Sciences (the highest award given for teaching excellence in all sciences at Brown University). He was promoted to Professor of Applied Mathematics as of July 2005. From October 2006 to June 2013, he was the Founding Director of the Center for Computation and Visualization (CCV) at Brown University. As of October 2007, he holds the (honorary) title of Professor (Adjunct) at the Technical University of Denmark. In November 2009, he successfully defended his dr.techn thesis at the Technical University of Denmark and was rewarded the degree of Doctor Technices -- the highest academic distinction awarded based on ... substantial and lasting contributions that has helped to move the research area forward and penetrated into applications. As grant Co-PI he served from Aug 2010 to June 2013 as Deputy Director of the Institute of Computational and Experimental Research in Mathematics (ICERM), the newest NSF Mathematical Sciences Research Institute. After having spend his entire academic career at Brown University, Prof Hesthaven decided to pursue new challenges and joined the Mathematics Institute of Computational Science and Engineering (MATHICSE) at Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland in July 2013. In March 2014 he was elected SIAM Fellow for contributions to high-order methods for partial differential equations.
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
James Richard LarusEnseignement et PhD A dirigé les thèses EPFL de Stuart Anthony Byma, David Teksen Aksun, Sahand Kashani A co-dirigé les thèses EPFL de Adrien Ghosn, Seyedmahyar Emami
André AnjosExpertise
Recherche ReproductibleReconnaissance de FormesTraitement d'ImagesApprentissage AutomatiqueBiométrie
Enseignement et PhD Doctorant·es actuel·les Gökhan Özbulak
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'
Giovanni AnsaloniEnseignement et PhD Doctorant·es actuel·les Yuxuan Wang, Grégoire Axel Eggermann, Riselda Kodra, Patrik Kukic Cours Lab on app development for tablets and smartphones EE-490(g) Axé sur l'écosystème Android, ce cours enseigne les techniques de développement d'applications mobiles distribuées, fonctionnant sur plusieurs appareils hétérogènes (tablettes/montres intelligentes), détectant l'environnement et s'interfaçant avec le cloud.
Silvestro MiceraEnseignement et PhD Doctorant·es actuel·les Johannes Sebastiaan Nieuwenhuis, Mouhamed Zorkot, Angela Braccia, Jonathan Muheim, Xiangyu Xu A dirigé les thèses EPFL de Elvira Pirondini, Andrea Crema, Marco Bonizzato, Sophie Marie Marthe Wurth, Edoardo D'Anna, Emanuele Formento, Jenifer Cléa Miehlbradt, Flavio Raschella, Nawal Kinany, Théo Lemaire, Marion Aimée Geneviève Badi-Dubois, Tristan Jean Robin Barjavel, Vincent Alexandre Mendez, Outman Akouissi, Giulia Dominijanni, Simone Romeni, Franklin Leong, Ele
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.
Michele CeriottiMichele Ceriotti received his Ph.D. in Physics from ETH Zürich in 2010. He spent three years in Oxford as a Junior Research Fellow at Merton College. Since 2013 he leads the laboratory for Computational Science and Modeling in the Institute of Materials at EPFL. His research revolves around the atomic-scale modelling of materials, based on the sampling of quantum and thermal fluctuations and on the use of machine learning to predict and rationalize structure-property relations. He has been awarded the IBM Research Forschungspreis in 2010, the Volker Heine Young Investigator Award in 2013, an ERC Starting Grant in 2016, and the IUPAP C10 Young Scientist Prize in 2018.
