Andreas PautzTeaching & PhD PhD Students Sofia Portolan, Michel Saliba, Bishal Torrente, Alexis Paul Boris Claude Dupont-Bembinoff, Cynthia Camila Güttlein Past EPFL PhD Students Ting Zhu, Vladimir Vladimirov Brankov, Boris Aviv Hombourger, Damar Canggih Wicaksono, Petra Mala, Adolfo Rais, Valentyn Bykov, Daniel Jerôme Siefman, Evgeny Nikitin, Dionysios Chionis, Oskari Ville Pakari, Friederike Bostelmann, Jiani Gao, Efstathios Vlassopoulos, Alessandro Scolaro, Stefan Radman, Alexander Aures, Lubomír Bures, Ahmed Salah
Federico MatteiniFederico pursued his Bachelor in Material Science at Universita' di Genova (Italy) in 2009. He spent one year at the Dublin Institute of Technology (Ireland), as exchange student in the frame of the EU Erasmus Lifelong Learning Programme.
In 2011 he obtained a Master degree in Chemical Engineering as a joint study agreement between
Universita' di Bologna (Italy), Universidad Politecnica de Valencia (Spain) and KTH Stokholm (Sweden), in the frame of the Erasmus Mundus Master Courses (IMMSSET).
He carried on his master thesiss project at Rice University (Houston, Texas).
After a short period as intern at DSM Material Science Center (the Netherlands), he joined the Laboratory of Semiconductor Materials of Prof. Fontcuberta i Morral at EPFL (Switzerland).
During his PhD he was awarded of a DocMobility grant to pursue his research at MIT, in the lab of Prof. W.C. Carter.
Graduated in 2016, he moved to fastree3D (3D vision startup) as product marketing manager to define target markets, associated strategy and positioning.
In 2018 he joined the large enterprises team at the Vice Presidency for Innovation as business developer.
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.
Katia GalanExpertise
Histology, genomics, cosec and BSO
Fabio AvinoEducation PhD in Physics | Turbulence at the boundary of toroidal plasmas with open and closed magnetic flux surfaces 2011 – 2015 EPFL Master in Physics | Rifrattometria su Plasmi di Interesse Termonucleare 2008 – 2010 La Sapienza Bachelor in Physics | Fluorescenza X portatile per l'analisi dei beni culturali 2005 – 2008 La Sapienza Professionals experiences Physicist - Senior Fellow 2017–2020 CERNScientist 2016–2017 EPFL
Teaching & PhD P
Fosco Bernasconi2014-Present:
post-doc at the EPFL, Laboratory of Congitive Neuroscience.
2012-2014:
Postdoctoral Research Associate, Charité University Medicine, Berlin, Germany.
2012:
Postdoctoral Research Associate,Psychiatric University Hospital (PUK), Zurich, Switzerland.
2008-2011:
PhD in Neurosciences,Lemanic Neurosciences Doctoral School, Faculty of Biology and Medicine, Lausanne University, Switzerland.
2007-2008:
Master in Medical Biology,Faculty of Biology & Medicine, Lausanne University,Switzerland.
Marie Estelle Solange ViolayExpertise
-Rock mechanics-Rock physics-Fault and earthquake mechanics-Hydro-mechanical couplings
Teaching & PhD PhD Students Cindy Mikaelian, Francesco Lazari, Franco Matías Robbiano Muñoz, Karin Andrea Hofer Apostolidis, Andrea Mazzeo Past EPFL PhD Students Felipe Orellana, Mateo Acosta, Chiara Cornelio, Corentin Noël, Federica Paglialunga, Antoine Guggisberg Courses Designing Testing Machines for Geomechanics ME-700 Develop your own machines to meet your scientific needs. Learn how to bu
