Roland John TormeyI am a sociologist and learning scientist researching and teaching on engineering education. I'm particularly focused on the roles of emotion and self-regulation in engineering teaching and learning. My profile is accessible here.
Olivier CanévetEnseignement et PhD Cours Machine Learning for Engineers EE-613
Fosco BernasconiBio I am a neuroscientist, interested in consciousness. I obtained a Ph.D. in neuroscience with Stéphanie Clarke & Lucas Spierer in Lausanne (Switzerland) in 2012. I then worked with Franz X Vollenweider in Zurich (Switzerland), and Niko A Busch in Berlin (Germany). Since 2014, I am working with Olaf Blanke at the EPFL & école polytechnique fédérale de Lausanne in Geneva. Currently, we investigate the role of altered (bodily) self-consciousness in aberrant perceptions, notably observed in psychiatric and n
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'
James Richard LarusEnseignement et PhD A dirigé les thèses EPFL de Stuart Anthony Byma, David Teksen Aksun, Sahand Kashani A co-dirigé les thèses EPFL de Adrien Ghosn, Seyedmahyar Emami
Michele CeriottiMichele Ceriotti received his Ph.D. in Physics from ETH Zürich in 2010. He spent three years in Oxford as a Junior Research Fellow at Merton College. Since 2013 he leads the laboratory for Computational Science and Modeling in the Institute of Materials at EPFL. His research revolves around the atomic-scale modelling of materials, based on the sampling of quantum and thermal fluctuations and on the use of machine learning to predict and rationalize structure-property relations. He has been awarded the IBM Research Forschungspreis in 2010, the Volker Heine Young Investigator Award in 2013, an ERC Starting Grant in 2016, and the IUPAP C10 Young Scientist Prize in 2018.
Silvestro MiceraEnseignement et PhD Doctorant·es actuel·les Johannes Sebastiaan Nieuwenhuis, Mouhamed Zorkot, Angela Braccia, Jonathan Muheim, Xiangyu Xu A dirigé les thèses EPFL de Elvira Pirondini, Andrea Crema, Marco Bonizzato, Sophie Marie Marthe Wurth, Edoardo D'Anna, Emanuele Formento, Jenifer Cléa Miehlbradt, Flavio Raschella, Nawal Kinany, Théo Lemaire, Marion Aimée Geneviève Badi-Dubois, Tristan Jean Robin Barjavel, Vincent Alexandre Mendez, Outman Akouissi, Giulia Dominijanni, Simone Romeni, Franklin Leong, Ele
Jamie PaikProf. Jamie Paik is founder and director of the Reconfigurable Robotics Lab (RRL) of Swiss Federal Institute of Technology (EPFL) and a core member of Swiss NCCR robotics group. The RRL leverages expertise in multi-material fabrication and smart material actuation for novel robot designs. She received her PhD in Seoul National University on designing humanoid arm and a hand while being sponsored by Samsung Electronics. This 7-DoF humanoid arm was the lightest in the literature at that time being 3.7kg including the 8-DoF hand. During her Postdoctoral positions in the Institut des Systems Intelligents et de Robotic in Universitat Pierre Marie Curie, Paris VI, she developed laparoscopic tools named JAiMY that are internationally patented and commercialized now by Endocontrol-medical.com. At Harvard University’s Microrobotics Laboratory, she started developing unconventional robots that push the physical limits of material and mechanisms. Her latest research effort is in soft robotics including self-morphing Robogami (robotic origami) that transforms its planar shape to 2D or 3D by folding in predefined patterns and sequences, just like the paper art, origami.
Giovanni AnsaloniEnseignement et PhD Doctorant·es actuel·les Yuxuan Wang, Grégoire Axel Eggermann, Riselda Kodra, Patrik Kukic Cours Lab on app development for tablets and smartphones EE-490(g) Axé sur l'écosystème Android, ce cours enseigne les techniques de développement d'applications mobiles distribuées, fonctionnant sur plusieurs appareils hétérogènes (tablettes/montres intelligentes), détectant l'environnement et s'interfaçant avec le cloud.
Loris Di NataleExpertise
(Deep) Machine Learning, (Deep) Reinforcement Learning, Building Control
Thomas Alois WeberEnseignement et PhD Doctorant·es actuel·les Ru Zhang A dirigé les thèses EPFL de Maryam Razeghian Jahromi, Michael Mark, Han Jun A co-dirigé les thèses EPFL de Raphaël Klein Cours Information: strategy & economics MGT-431 Introduction à l'économie de l'information et ses ramifications stratégiques. Les principaux objectifs sont d'utiliser la théorie économique pour comprendre les interactions stratégiques en présence d'incertitude, estimer la valeur de l'information et analyser la stratégi
Roland LogéRoland Logé is an associate professor at EPFL, with a primary affiliation to the Materials Institute, and a secondary affiliation to the Microengineering Institute.
After graduating in 1994 at UCL (Belgium) in Materials Engineering, he earned a Master of Science in Mechanics in 1995, at UCSB Santa Barbara (USA). He received his PhD at Mines Paristech-CEMEF (France) in 1999, where he specialized in metal forming and associated microstructure evolutions. After a postdoc at Cornell University (USA) between 1999 and 2001, he entered CNRS in France.
In 2008, he was awarded the ALCAN prize from the French Academy of Sciences, together with Yvan Chastel.
In 2009 he became head of the Metallurgy-Structure-Rheology research group at CEMEF.
In 2011, he launched a “Groupement de Recherche” (GDR), funded by CNRS, networking most of the researchers in France involved in recrystallization and grain growth.
In 2013, he became Research Director at CNRS.
In March 2014 he joined EPFL as the head of the Laboratory of Thermomechanical Metallurgy.
