Maria ColomboEnseignement et PhD Doctorant·es actuel·les Roberto Colombo, Antonio Tirotta, Carl Johan Peter Johansson, Giulia Mescolini A dirigé les thèses EPFL de Luigi De Rosa, Silja Noëmi Aline Haffter, Massimo Sorella Cours Analysis IV - Lebesgue measure, Fourier analysis MATH-205 Apprendre les bases de l'intégrale de Lebesgue et l'analyse de Fourier. Topics on the Euler and Navier-Stokes equations MATH-647
Paul Joseph DysonPaul Dyson rejoignit l’EPFL en 2002 à la tête du Laboratoire de chimie organométallique et médicinale de l’Institut des sciences et ingénierie chimiques, dont il en assuma ensuite la direction entre 2008 et 2016.
Le prof. Dyson a été récompensé par de nombreux prix dont le Prix Werner de la Société Suisse de Chimie en 2004, le Prix pour les réalisations exceptionnelles en chimie bio organométallique en 2010, la Médaille du Centenaire de la naissance de Luigi Sacconi (2011) de la Société Italienne de Chimie, le Prix de Chimie bio-inorganique de la Royal Society of Chemistry en 2015, le Prix européen pour une chimie durable de la Société Européenne de Chimie en 2018 et le Prix pour la chimie verte de la Royal Society of Chemistry en 2020.
Le prof. Dyson est également mentionné dans la liste établie par Clarivate des chercheurs les plus cités (Clarivate Highly Cited Researcher), avec un H-index >110 (Web of Science et Google Scholar). Paul Dyson a été élu membre de la Royal Société de Chimie en 2010, membre de l’Académie Européenne des Sciences en 2019 et membre à vie de l’Association Américaine pour l’Avancement de la Science en 2020. Au cours des dernières années il s’est vu décerner le titre de Professeurs Hôte par l’Université de Bourgogne, l’Université de Pierre et Marie Curie, l’Université de Vienne, l’Université de Rome Tor Vergara, l'Ecole Nationale Supérieure de chimie de Paris (Chimie ParisTech) et par l’Université de Shangai Jiao Tong.
De 2016 à 2021 il était membre du conseil de la recherche de la division de mathématique, sciences naturelles et de l’ingénieur du Fonds National Suisse. En 2021, il a été nommé doyen de la Faculté des Sciences de Base.
Marco PicassoExpertise
Computational Science and Engineering
Mission
I am teaching analysis and numerical analysis for engineers and mathematicians at bachelor and master levels.My research pertains to the numerical simulation of complex physical systems with partial differential equations.Here is some bibliometry: Google Scholar, Research Gate, Orcid, here is my most recent CV. Ongoing research projects: - Numerical simulation of aluminium electrolysis, collaboration with RioTinto LRF lab, Ycoorsystems SA and Jacques
Sandrine GerberSandrine Gerber studied chemistry at the "Ecole Nationale Supérieure de Chimie de Paris" in France, where she obtained a diploma of chemical engineer in 1993. The same year she obtained a DEA (Master degree) of organic chemistry at the University Pierre et Marie Curie (Paris VI, France). From 1993 to 1996 she did a PhD in organic chemistry under the supervision of Prof. Jean-Pierre Genêt at the Ecole Nationale Supérieure de Chimie de Paris. In 1996, she moved to University of Lausanne for a post-doctoral stay under the supervision of Prof. Pierre Vogel. In 1998, she was appointed Maître-Assistante at the Institute of Organic Chemistry in the University of Lausanne. In 2003, she obtained the habilitation to direct research from the University Pierre et Marie Curie (Paris VI, France). The same year, she was appointed scientific adjunct at the EPFL and senior scientist (Maître d'Enseignement et de Recherche) in 2006. In December 2014, she was promoted to titular professor. Since September 2007, Sandrine Gerber is deputy to the director of the Institute of Chemical Sciences and Engineering (ISIC). She is also member of the Board of Directors of the Swiss Chemical Society. Since 2007, Sandrine Gerber is part-time lecturer at the university of Fribourg. She was awarded the Prize Eugene Schueller in 1997, the Prize Dufour for prospective organic chemistry in 2005 and the Werner Prize 2010. She also received a special mention in recognition of exceptional quality of pedagogic competencies in the teaching of basic sciences, given by the Direction of the School of Biology and Medicine from the University of Lausanne, in 2013. In October 2018, she will receive the Prize for Excellence in Teaching from the section of Chemistry and Chemical Engineering.
Dominique BonvinDominique Bonvin is Professor and Director of the Automatic Control Laboratory of EPFL. He received his Diploma in Chemical Engineering from ETH Zürich, and his Ph.D. degree from the University of California, Santa Barbara. He worked in the field of process control for the Sandoz Corporation in Basel and with the Systems Engineering Group of ETH Zürich. He joined the EPFL in 1989, where his current research interests include modeling, control and optimization of dynamic systems. He served as Director of the Automatic Control Laboratory for the periods 1993-97, 2003-2007 and again since 2012, Head of the Mechanical Engineering Department in 1995-97 and Dean of Bachelor and Master Studies at EPFL for the period 2004-2011.
Vassily HatzimanikatisEnseignement et PhD Doctorant·es actuel·les Denis Alain Henri Lucien Joly, Luca Milazzo, David Liaskos, Konrad Lagoda, Omar Keshk, Yigit Sibal, Ioannis Tzegiannakis A dirigé les thèses EPFL de Keng Cher Soh, Julien Racle, Noushin Hadadi, Stefano Andreozzi, Stepan Tymoshenko, Meriç Ataman, Joana Raquel Pinto Vieira, Tiziano Dallavilla, Yves Berset, Anush Chiappino-Pepe, Milenko Tokic, Tuure Eelis Hameri, Jasmin Maria Hafner, Homa Mohammadi Peyhani, Daniel Robert Weilandt, Zhaleh Hosseini, Sofia Tsouka, Mar
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'
Wulfram GerstnerWulfram Gerstner is Director of the Laboratory of Computational Neuroscience LCN at the EPFL. His research in computational neuroscience concentrates on models of spiking neurons and spike-timing dependent plasticity, on the problem of neuronal coding in single neurons and populations, as well as on the link between biologically plausible learning rules and behavioral manifestations of learning. He teaches courses for Physicists, Computer Scientists, Mathematicians, and Life Scientists at the EPFL. After studies of Physics in Tübingen and at the Ludwig-Maximilians-University Munich (Master 1989), Wulfram Gerstner spent a year as a visiting researcher in Berkeley. He received his PhD in theoretical physics from the Technical University Munich in 1993 with a thesis on associative memory and dynamics in networks of spiking neurons. After short postdoctoral stays at Brandeis University and the Technical University of Munich, he joined the EPFL in 1996 as assistant professor. Promoted to Associate Professor with tenure in February 2001, he is since August 2006 a full professor with double appointment in the School of Computer and Communication Sciences and the School of Life Sciences. Wulfram Gerstner has been invited speaker at numerous international conferences and workshops. He has served on the editorial board of the Journal of Neuroscience, Network: Computation in Neural Systems', Journal of Computational Neuroscience', and `Science'.
Giovanni De MicheliExpertise
Technologies de conception pour les systèmes intégrés, tels que la synthèse, le codesign de HW/SW et la conception de basse puissance. Technologies de conception des systèmes sur les plateformes hétérogènes comprenant les composants électriques, et biologiques.
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Enseignement et PhD A dirigé les thèses EPFL de Abhishek Garg, Mohamed Haykel Ben Jamaa, Francesco Zanini, Ciprian Seiculescu, Cristina Boero, Hu Xu, Andrea Cavallini, Shashi Kanth Afficher plus