Fabrizio SossanExpertise
Mathematical Modelling, Forecasting and Optimization for Power System Applications
Enseignement et PhD Doctorant·es actuel·les Keyu Jia A co-dirigé les thèses EPFL de Yihui Zuo, Mohsen Kalantar Neyestanaki, Rahul Kumar Gupta Cours Energy storage systems EE-466 Ce cours présente les principales technologies de stockage d'énergie, leurs attributs, leurs modèles mathématiques et leurs applications (stationnaires et mobiles), de la conception à l'exploitation et au contrôle, avec un
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.
Karen Ann J MullenersEnseignement et PhD Doctorant·es actuel·les Gaétan Raynaud, Lorenzo Ermanni, Thomas Antoine Nicolas Berger, Sahar Rezapour, Alexandros Anastasiadis, Henrike Cornelia Christ, Harshi Bavishi A dirigé les thèses EPFL de Swathi Krishna, Guillaume de Guyon-Crozier, Diego Francescangeli, Sébastien Le Fouest, Alexander Gehrke, Mrudhula Baskaran Cours Aerodynamics ME-445 Ce cours présente les bases de la dynamique des fluides pour comprendre comment l'air s'écoule autour d'ailes et de corps en deu
Dasaraden MaureeExpertise
Climatologie, Dynamique des fluides, Météorologie, Sciences de l'atmosphère,Modélisation atmosphérique, Physique de l'atmosphère, Modélisation Méso-échelle, Couche limite atmosphérique, Utilisation et efficacité énergétique en milieu urbain.
Expertise
Climatologie, Dynamique des fluides, Météorologie, Sciences de l'atmosphère,Modélisation atmosphérique, Physique de l'atmosphère, Modélisation Méso-échelle, Couche limite atmosphérique, Utilisation et efficacité énergétique en milieu urbain.
Ces trav
Elena VagnoniEnseignement et PhD Doctorant·es actuel·les Nathan Justin Veuthey, Elie Saroufim, Sara Bocconi, Jonas Ariel Peter, Aron Dagur Beck A co-dirigé les thèses EPFL de Martin Seydoux, Aldo Leonardo Alerci Cours Hydraulic turbomachines ME-453 Cours de Master sur les turbomachines hydrauliques: principes de fonctionnement et conception des turbines à action et à réaction, des pompes et des pompes-turbines. Hydropower plants: generating and pumping units EE-456 Cours de Master sur l
Tobias SchneiderTobias Schneider is an assistant professor in the School of Engineering at EPFL, the Swiss Federal Institute of Technology Lausanne. He received his doctoral degree in theoretical physics in 2007 from the University of Marburg in Germany working on the transition to turbulence in pipe flow. He then joined Harvard University as a postdoctoral fellow. In 2012 Tobias Schneider returned to Europe to establish an independent Max-Planck research group at the Max-Planck Institute for Dynamics and Self-Organization in Goettingen. Since 2014, he is working at EPFL, where he teaches fluid mechanics and heads the 'Emergent Complexity in Physical Systems' laboratory. Tobias Schneider's research is focused on nonlinear mechanics with specific emphasis on spatial turbulent-laminar patterns in fluid flows transitioning to turbulence. His lab combines dynamical systems and pattern-formation theory with large-scale computer simulations. Together with his team, Schneider develops computational tools and continuation methods for studying the bifurcation structure of nonlinear differential equations such as those describing the flow of a fluid. These tools are published as open-source software at channelflow.ch. Publications: Google Scholar
Dan AssoulineExpertise
- Geographic Information Systems, Applied Machine Learning, Renewable energy potential mapping
Education Phd | Energy / Machine Learning 2014 – 2019 EPFL MSc | Civil and Envrionmental Engineering 2012 – 2013 UC Berkeley MSc | Civil Engineering 2010 – 2013 Ecole Sp�ciale des Travaux Publics (ESTP) BSc | Applied Mathematics 2008 – 2010 Lyc�e Saint Louis (Classes Pr�paratoires aux Grandes Ecoles)
