Frédéric BlancExpertise
Physique des hautes énergies
Enseignement et PhD Doctorant·es actuel·les Rita De Sousa Ataíde Da Silva, Dimitrios Kaminaris, Maria Carolina Feliciano Faria A dirigé les thèses EPFL de Lino Ferreira Lopes, Vladimir Macko, Guillaume Max Pietrzyk A co-dirigé les thèses EPFL de Jessica Prisciandaro, Giovanni Veneziano, Sebastiana Gianì, Lino Ferreira Lopes, Guillaume Max Pietrzyk Cours Selected topics in nuclear and particle physics PHYS-400 Ce cours présente les fondements et l'état
Jiri VanicekEnseignement et PhD Doctorant·es actuel·les Liam Oliver Marsh, Yeha Lee, Davide Barbiero, Yannick Calvino Alonso, Manas Nagda A dirigé les thèses EPFL de Cesare Mollica, Ray Marcel Marin Florez, Marius Wehrle, Aurélien Patoz, Konstantin Karandashev, Tomislav Begusic, Julien Roulet, Seonghoon Choi, Roya Moghaddasi Fereidani, Zhan Tong Zhang, Eriks Kletnieks, Alan Scheidegger, Fabian Kröninger Cours Mathematical methods in chemistry CH-250 Ce cours comprend 2 parties. La 1ère partie couvre l
Anastasia AilamakiExpertise
Systèmes de gestion de bases de données, applications scientifiques, architecture des ordinateurs
Enseignement et PhD Doctorant·es actuel·les Hamish Nicholson, Anna Herlihy, Yi Jiang, Eleni Zapridou, Georgiy Konstantinovich Lebedev, Ioanna Tsakalidou A dirigé les thèses EPFL de Farhan Tauheed, Radu Ioan Stoica, Manos Athanassoulis, Pinar Tözün, Adrian Daniel Popescu, Ioannis Alagiannis, Renata Borovica-Gajic, Danica Porobic, Iraklis Psaroudakis, Manos Karpathiotakis, Matthaios Alexandros Olma,
Anne-Marie KermarrecAnne-Marie Kermarrec is Professor at EPFL since January 2020. Before that she was the CEO of the Mediego startup that she founded in April 2015. Mediego provides content personalization services for online publishers. She was a Research Director at Inria, France from 2004 to 2015. She got a Ph.D. thesis from University of Rennes (France), and has been with Vrije Universiteit, NL and Microsoft Research Cambridge, UK. Anne-Marie received an ERC grant in 2008 and an ERC Proof of Concept in 2013. She received the Montpetit Award in 2011 and the Innovation Award in 2017 from the French Academy of Science. She has been elected to the European Academy in 2013 and named ACM Fellow in 2016. Her research interests are in large-scale distributed systems, epidemic algorithms, peer to peer networks and system support for machine learning.Google Scholar: https://scholar.google.com/citations?user=aIAy-qcAAAAJDBLP: https://dblp.org/pers/k/Kermarrec:Anne=Marie.html Luis Guillermo Villanueva TorrijoGuillermo Villanueva is a Tenure Track Assistant Professor at the Ecole Polytechnique Federale de Lausane (EPFL), Switzerland, in the Mechanical Engineering Institute (IGM). Before joining EPFL he was a Marie Curie post-doctoral scholar at DTU (Denmark) and Caltech (California, US); and before a post-doc at EPFL-LMIS1. He received his M.Sc. in Physics in Zaragoza (Spain) and his PhD from the UAB in Barcelona (Spain).
Since the start of his PhD (2002), Prof. Villanueva has been active in the fields of NEMS/MEMS for sensing, having expertise from the design and fabrication to the characterization and applicability. He has co-authored more than 75 papers in peer-reviewed journals (h-index of 24 WoK, 32 GoS) and more than 100 contributions to international conferences.
He is serving, or has served, on the program committees of IEEE-NEMS, IEEE-Sensors, MNE, IEEE-FCS and Transducers. He is editor of Microelectronic Engineering. He has co-organized MNE2014 and SNC2015; and he is currently co-organizing the short courses at Transducers 2019 and the 16th International Workshop on Nanomechanical Sensors (NMC2019).
Victor PanaretosEnseignement et PhD Doctorant·es actuel·les Ulysse Naepels, Nikitas Georgakis, Ho Yun A dirigé les thèses EPFL de Andrea Kraus, Shahin Tavakoli, Mikael Kuusela, Yoav Zemel, Marie-Hélène Descary, Valentina Masarotto, Tomas Rubin, Tomas Masák, Laya Ghodrati, Kartik Waghmare, Leonardo Santoro A co-dirigé les thèses EPFL de Matthieu Simeoni, Ophelia Miralles, Sonia Alouini, Timmy Rong Tian Tse, Krali Mario Cours Linear models MATH-341 Les modèles de régression sont des outils de base statistiq
