Martin Alois RohrmeierEnseignement et PhD Doctorant·es actuel·les Joris Monnet, Marina Borsodi-Benson, Xinyi Guan, Xiaoxuan Wang, Zeng Ren A dirigé les thèses EPFL de Fabian Claude Moss, Daniel Harasim, Christoph Finkensiep, Johannes Hentschel, Gabriele Cecchetti, Shuxin Meng Cours Digital musicology DH-401 Ce cours a pour but de familiariser les étudiants avec les thèmes principaux en musicologie digitale, ainsi que les approches et méthodes théoriques essentielles. Dans la partie pratique, les étudiants feron
Julia SchmaleEnseignement et PhD Doctorant·es actuel·les Berkay Dönmez, Yolanda Temel, Nora Bergner, Benjamin Jérémy Laurent Heutte, Henrik Tasman Helmig, Sristi Shamarthi Das A dirigé les thèses EPFL de Ivo Fabio Beck, Roman Pohorsky Cours Physics and chemistry of the atmosphere ENV-320 Ce cours est une introduction aux phénomènes physiques et chimiques gouvernant la dynamique atmosphérique à petite et grande échelle. Le cours est structuré afin de donner une compréhension en profondeur de notre atmos
Martin RajmanMartin Rajman is the EPFL Ambassador to digitalswitzerland (https://digitalswitzerland.com/), a Swiss-wide, multi-stakeholder initiative coordinating the contributions of its over 200 members to strengthen Switzerland’s position as a leading digital player.Until 2017, Martin Rajman has served as Executive Director of Nano-Tera.ch, a large Swiss Research Program funding collaborative multi-disciplinary projects for the engineering of complex systems in Health and the Environment. Since 2008, the Nano-Tera.ch program started more than 100 research projects for a total public funding of more than 95 Mo CHF (~100 Mo USD). Before being appointed as Nano-Tera.ch Executive Director, Martin Rajman was Director of the EPFL Global Computing Center (CGC), an association of research groups and laboratories of the School of Computer and Communication Sciences fostering interdisciplinary research in the general area of internet computing and distributed information systems. In this position, he was managing more than 20 European projects. In parallel with his research management activities, Martin Rajman is senior researcher at EPF Lausanne, Switzerland (EPFL). His research interests include Artificial Intelligence, Computational Linguistics and Data-driven Probabilistic Machine Learning.Martin Rajman has also been active in various large scale industry-research collaborations with majors economic players. In particular, he has been involved in the improvement of the product ranking technology used by e-Bay and collaborated with Elsevier on enhanced article recommendation techniques. Martin Rajman is author or co-author of more than 100 publications and former Director of the Computer Science Series of EPFL-Press (PPUR). 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 Michael Stefan Daniel LieblingEnseignement et PhD A co-dirigé les thèses EPFL de Christian Jaques, Olivia Mariani, Adrian Shajkofci, François Thierry M Marelli Cours Apprentissage et intelligence artificielle EE-311 Ce cours présente une vue générale des techniques d'apprentissage automatique, passant en revue les algorithmes, le formalisme théorique et les protocoles expérimentaux.
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).
Jean-Paul Richard KneibEnseignement et PhD Doctorant·es actuel·les Oliver Pineda Suarez, Robert Daniel Kincaid, Ethan Daniel Tregidga, Belén Yu Irureta-Goyena Chang, Elisabeth Andréa Cécile Rachith, Shengyu He, Aurélien Thomas Mathieu Verdier, Timour Jestin A dirigé les thèses EPFL de Markus Rexroth, Luzius Gregor Kronig, Christoph Ernst René Schäfer, Vasileios Angelopoulos, Michaël Juillard, Amélie Tamone, Andrei Variu, Yoan Rappaz, Anne-Marlene Rüede, Jiaxi Yu, Daniel Felipe Forero Sanchez, Beauchesne Benjamin Emmanuel Nicola
Mikhail ChapochnikovEnseignement et PhD A dirigé les thèses EPFL de Ewald Rössl, Katarzyna Zuleta Estrugo, Yannis Burnier, Stephen Clark, Matthias Schmid, Claude Becker, Daniel Zenhäusern, Amaury Magnin, Laurent Canetti, Georgios Karananas, Andrey Shkerin, Adrien Florio
Marc VielleMarc Vielle has obtained a PhD degree in economics from the University Panthéon-Sorbonne (Paris). He worked as an economic researcher at the Laboratoire ERASME of Ecole Centrale de Paris and Université de Paris I (1987-1992), where he developed and managed the macroeconomic model HERMES-France. In 1991 he joined the Commissariat à lEnergie Atomique (CEA) as senior economist where he participated to the development of two models (GEM-E3 and PRIMES) funded by the European Commission. In 1996 he joined the Institut dEconomie Industrielle of Toulouse directed by Jean-Jacques Laffont. In 2003 he joined the Laboratoire dEconomie des Ressources Naturelles directed by Michel Moreaux. Since 2007, Marc works at EPFL.
He is member of the GEMINI-E3 team and participates to the development of the world general equilibrium model GEMINI-E3. Marc has a strong experience in economic modeling (especially CGE modeling), quantitative analysis, energy and climate change policies. He has contributed to several research projects funded by national governments, European Commission and private companies.
Skype 'Skype Me!' buttonhttp://www.skype.com/go/skypebuttons Wolf Hendrik HuwaldDr. Hendrik Huwald is a scientist at the Laboratory of Cryospheric Sciences (CRYOS) and a lecturer at the Environmental Sciences and Engineering Section (SSIE) of the Swiss Federal Institute of Technology in Lausanne (EPFL). He completed his PhD in 2003 at the Swiss Federal Institute of Technology in Zürich (ETHZ), developing a numerical model for sea ice and studying energy transfer processes in the Arctic. Between 2005 and 2012 he was a post-doctoral fellow and scientist at the Laboratory of Environmental Fluid Mechanics and Hydrology (EFLUM) of EPFL working on Alpine snow-atmosphere interaction, and energy balance-related research mainly in mountain regions. During this time, he designed, led and participated in numerous large field experiments in different environments. In 2013 he joined the newly founded CRYOS laboratory where he conducted research in the domains of snow science, hydrology, boundary layer meteorology and environmental sensing. He has extensive experience with project management both on national and international level.
