Isabella Di LenardoPh.D. in Theories and Art History. Isabella di Lenardo is senior scientist in Digital Humanities and Urban History. Her research activity is focused on digital tools and methods applied to Urban History. She is an expert in ancient cartography, city representations, cadastral sources interpreted through digital modeling, extraction and analysis systems.She's also interested in network analysis questioning the production and circulation of artistic and architectural knowledge in Europe XVIth – XVIIIth centuries in particular on North-South relationships and influences. The development of collaboration projects with European institutions and the activity carried out on various initiatives supported by the European Commission have allowed her to acquire specialism in the field of science applied to heritage, developing in particular specific skills for the enhancement of Cultural Heritage through digital tools. She leads projects in collaboration with Bibliothèque national de France (Paris), Institut National d’Histoire de l’Art (Paris), Ecole nationale des chartes (Paris), Université Paris I Panthéon-Sorbonne, Centre Allemand d’Histoire de l’Art (Paris), Musée du Louvre, Archives Nationales de Paris, Bibliothèque Historique de la Ville de Paris, Réunion des Musées Nationaux. She supervised all the urban modeling simulations for the Venice Time Machine project and acted as content curator for all the exhibitions (Venice Biennale, Grand Palais-Paris, Datasquare - ArtLab-Lausanne, Museo Correr-Venice). Head of “Replica” project : digitizing 1 million photos of artworks in the Fondazione Giorgio Cini (Venice) and visual patterns extraction through a search engine for visual similarities. She has a Ph.D in Art History and also studied Archaeology and Urban Studies. She has published essays and articles about Venetian Art and Urban History and participated in many Art exhibitions in European museums. She coordinated summer schools and workshops about Digital Tools for Art History and Urban History. She attended conferences on digital methods for History in universities and patrimonial institutions.
Sébastien MarcelEnseignement et PhD Doctorant·es actuel·les Parsa Rahimi Noshanagh A co-dirigé les thèses EPFL de Fabien Cardinaux, Yann Rodriguez, Agnès Just, Guillaume Heusch, Anindya Roy, Venkatesh Bala Subburaman, Cosmin Atanasoaei, Laurent El Shafey, Ivana Chingovska, Tiago De Freitas Pereira, Amir Mohammadi, Alexander Unnervik, Hatef Otroshi Shahreza
Samuel DubuisAprès des études de Mathématiques à l'EPFL, j'y ai poursuivi une thèse de doctorat chez le Prof. Marco Picasso. Naturellement attiré et motivé par l'enseignement, je me suis tourné vers le Cours de Mathématiques Spéciales où je travaille depuis 2020.Intérêts J'affectionne le travail en salle avec les élèves, en particulier l'accompagnement dans leurs apprentissages des mathématiques élémentaires, qui sont le socle des sciences et de l'ingénieurie.Parallèlement, je poursuis un peu de recherche dans le domai
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.
Jacques RappazOriginaire de Neyruz-sur-Moudon (VD), Jacques Rappaz est né le 22 mars 1947. Après ses études primaires et secondaires à Lausanne, il étudie la physique, de 1964 à 1970, à l'Ecole Polytechnique de l'Université de Lausanne (EPUL et EPFL dès 1969) où il obtient son diplôme en janvier 1971. Il entreprend ensuite un travail de recherche en analyse numérique à l'EPFL. En avril 1976, il soutient une thèse consacrée à l'approximation spectrale d'opérateurs provenant de la physique des plasmas. De 1977 à 1980, il est boursier du Fonds National Suisse (FNS) et séjourne à Paris. A l'Ecole Polytechnique de Palaiseau et à l'Université Paris VI, il travaille sur l'approximation de problèmes non-linéaires provenant de la physique.De 1980 à 1985, il retourne à l'EPFL en tant que chercheur au FNS puis collaborateur scientifique du Professeur Jean Descloux. En 1983 il entreprend, en collaboration avec l'entreprise Alusuisse, des recherches sur la simulation numérique du procédé Hall-Héroult permettant la production de l'aluminium par électrolyse. Ces recherches ont débouché par la suite sur de nombreux projets en collaboration avec les compagnies Alcan, puis Péchiney et Rio Tinto. En 1985, Jacques Rappaz est nommé professeur ordinaire de mathématiques appliquées à l'Université de Neuchâtel qu'il quittera en octobre 1987 pour un poste de professeur ordinaire à l'EPFL. De 1983 à 2012 où il a pris sa retraite, Jacques Rappaz a enseigné de nombreux cours d'analyse et d'analyse numérique aux ingénieurs et aux mathématiciens de l'EPFL, de l’Université de Genève et de l'Université de Neuchâtel. Sa recherche concerne les aspects théoriques et pratiques de la résolution numérique des équations aux dérivées partielles. Il a participé à de nombreux projets de simulations numériques en collaboration avec les milieux industriels et/ou les départements d'ingénieurs de l'EPFL.
Graham KnottEnseignement et PhD Cours Methods: from disease models to therapy BIOENG-518 Ce cours décrira les méthodes qui sont à la base des approches translationnelles depuis la génération et la caractérisation des modèles des maladies jusqu'aux applications thérapeutiques. Les bases théoriques seront complétées par des rotations pratiques dans les plateformes technologiques.
Pascal FuaPascal Fua received an engineering degree from Ecole Polytechnique, Paris, in 1984 and the Ph.D. degree in Computer Science from the University of Orsay in 1989. He then worked at SRI International and INRIA Sophia-Antipolis as a Computer Scientist. He joined EPFL in 1996 where he is now a Professor in the School of Computer and Communication Science and heads the Computer Vision Laboratory. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and Augmented Reality. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and machine learning. He has (co)authored over 300 publications in refereed journals and conferences. He is an IEEE Fellow and has been an Associate Editor of IEEE journal Transactions for Pattern Analysis and Machine Intelligence. He often serves as program committee member, area chair, and program chair of major vision conferences and has cofounded three spinoff companies (Pix4D, PlayfulVision, and NeuralConcept).
Annalisa BuffaEnseignement et PhD Doctorant·es actuel·les Gonzalo Bonilla Moreno, Philipp Christoph Weder, Yannis Dirk Voet, Fabio Marcinno, Ferhat Sindy, Francesco Sala, Markus Renoldner, Mohamed Ben Abdelouahab, Davor Dobrota A dirigé les thèses EPFL de Luca Coradello, Ondine Chanon, Riccardo Puppi Cours Numerical approximation of PDEs MATH-451 Ce cours porte sur la dérivation, l'analyse théorique et l'implémentation de la méthode des éléments finis pour l'approximation numérique des équations aux dér
