Marinella MazzantiEnseignement et PhD A dirigé les thèses EPFL de Julie Renée Michelle Andrez, Marta Falcone, Radmila Faizova, Davide Toniolo, Luciano Barluzzi, Aurélien René Willauer, Nadir Jori, Dieuwertje Katelijn Modder, Hsueh Fang-Che, Keerthi Shivaraam Rangaraj Ananthakumar, Mikhail Batov A co-dirigé les thèses EPFL de Andreichenko Andrei Cours Chemistry of f elements CH-427 Le cours présentera les aspects plus importants de la chimie des éléments f (lanthanides et actinides) en couvrant géométrie, liai
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
Amela Groso2016 - Present: Safety Competence Center, EPFL DSPS 2007 - 2016: Occupational Safety and Health at the Faculty of Basic Sciences, EPFL Education : 2004 - 2006 : Postdoctoral fellow at the beamline for Microtomography, Swiss Light Source, Paul Scherrer Institute (PSI), Switzerland 2000 - 2004 : PhD student of Prof. Margaritondo G., Institut de physique de la matière complexe, EPFL, SwitzerlandPhD Thesis on Phase contrast X-ray imaging. 1997 - 2000 : Research fellowship for Personal training on beamlines and experimental stations at the Elettra, Synchrotron Light Source, Trieste (Italy). 1991 - 1997 : MSc in Physics, Physics department of the University of Sarajevo (Bosnia and Herzegovina)
Robert WestRobert West is a tenure-track assistant professor of computer science at EPFL, where he heads the Data Science Lab. In his research, he develops and applies techniques in machine learning, computational social science, natural language processing, social network analysis, and data mining. Bob also collaborates closely with the Wikimedia Foundation, in his role as a Wikimedia Research Fellow. Bob’s work has won several awards, including best/outstanding paper awards at ICWSM’21, ICWSM’19, and WWW’13, a best-paper runner-up award at WWW’16, a Google Faculty Research Award, a Facebook Research Award, a Hewlett-Packard Graduate Fellowship, and a Facebook Graduate Fellowship. He is actively involved in the research community, e.g., as an Associate Editor of ICWSM and EPJ Data Science and as a co-founder of the Wiki Workshop (held at WWW and ICWSM) and the Applied Machine Learning Days. Bob received his PhD in Computer Science from Stanford University, his MSc from McGill University, Canada, and his undergraduate degree from Technische Universität München, Germany.[Last updated: 25 Aug 2021]
Sofia Charlotta OlhedeSofia Olhede is a professor of Statistics at EPFL in Switzerland. She joined UCL prior to this in 2007, before which she was a senior lecturer of statistics (associate professor) at Imperial College London (2006-2007), a lecturer of statistics (assistant professor) (2002-2006), where she also completed her PhD in 2003 and MSci in 2000. She has held three research fellowships while at UCL: UK Engineering and Physical Sciences Springboard fellowship as well as a five-year Leadership fellowship, and now holds a European Research Council Consolidator fellowship. Sofia has contributed to the study of stochastic processes; time series, random fields and networks. Sofia was part of the multi-institutional team that set up the UK national data science institute, the Alan Turing Institute. She organised and served as chair of the science committee that developed the initial 500 000 pounds scientific programme of the institute; peer-reviewing over 100 workshop proposals and hosting over 30. She also chaired the first recruitment wave of the institute hiring 13 data scientists as a multi-university recruitment drive. Sofia was a member of the Royal Society and British Academy Data Governance Working Group, and the Royal Society working group on machine learning. Most recently she was one of 3 commissioners on a law society commission on the usage of algorithms in the justice system.
Andrea CavallaroExpertise
Machine learning for multimodal perception, computer vision, machine listening, and information privacy.
Enseignement et PhD Doctorant·es actuel·les Yung-Chen Tang, Ante Maric, Cen Lu, Haruki Shirakami, Lei Xu, Dina El Zein, Jose Rafael Espinosa Mena, Shashi Kumar, Martin Schonger, Olena Hrynenko, Darya Baranouskaya Cours Deep learning EE-559 Ce cours explore la conception de réseaux de neurones discriminatifs et génératifs fiables, ainsi que les enjeux éthiques de l'acquisition
Demetri PsaltisEnseignement et PhD Doctorant·es actuel·les Victoria Fay, Colin Nikhil Christian A dirigé les thèses EPFL de Wuzhou Song, Alexandre Goy, Julien Cuennet, Ioannis Papadopoulos, Xin Yang, Grégoire Pierre Jean Laporte, Thomas Jean Victor Marie Lanvin, Seyyed Mohammad Hosseini Hashemi, Nicolino Stasio, Morteza Hasani Shoreh, Marilisa Romito, Pooria Hadikhani, Eirini Kakkava, Joowon Lim, Giulia Panusa, Ahmed Bassam Sayed Ayoub Mohamed Ayoub, Amirhossein Saba, Niyazi Ulas Dinç A co-dirigé les thèses EPFL de Ugur
Xile HuXile Hu was born in 1978 in Putian, southeastern China. He entered the Peking University in Beijing in 1996. Besides learning too little chemistry, his biggest regret in the college was not able to correct his southern accent in Mandarin. After graduated from PKU, he went to the United States and began his doctoral studies at the University of California, San Diego. In December 2004, he finished with a Ph.D. in chemistry and some fond memories of the beautiful city of San Diego. He then moved to the Los Angeles area and become a postdoctoral scholar at the California Institute of Technology. There he enjoyed numerous stimulating scientific (and other) discussions with friends and colleagues. He also made plenty of friends outside the campus and was a frequent in many local Chinese restaurants. In 2007, after two pleasant visits to Switzerland, he decided to move across the continent one more time and join the faculty of the École Polytechnique Fédérale de Lausanne (EPFL). He now directs the Laboratory of Inorganic Synthesis and Catalysis and is interested in developing chemistry for synthesis, energy and sustainability.
Ian SmithPhD Université de Cambridge, 1982 Interêts 1 Contrôle actif de la forme des structures pour améliorer leur aptitude au service et leur déploiement 2 Structures biomimétiques (apprentissage, auto-diagnostic, auto-réparation) 3 Gestion de l'infrastructure par l'identification structurale 4 Applications avancées de l'informatique Plus de détails, voir https://www.epfl.ch/labs/imac/fr/recherche/smith_ian_fr/ Wulfram GerstnerWulfram Gerstner is Director of the Laboratory of Computational Neuroscience LCN at the EPFL. His research in computational neuroscience concentrates on models of spiking neurons and spike-timing dependent plasticity, on the problem of neuronal coding in single neurons and populations, as well as on the link between biologically plausible learning rules and behavioral manifestations of learning. He teaches courses for Physicists, Computer Scientists, Mathematicians, and Life Scientists at the EPFL. After studies of Physics in Tübingen and at the Ludwig-Maximilians-University Munich (Master 1989), Wulfram Gerstner spent a year as a visiting researcher in Berkeley. He received his PhD in theoretical physics from the Technical University Munich in 1993 with a thesis on associative memory and dynamics in networks of spiking neurons. After short postdoctoral stays at Brandeis University and the Technical University of Munich, he joined the EPFL in 1996 as assistant professor. Promoted to Associate Professor with tenure in February 2001, he is since August 2006 a full professor with double appointment in the School of Computer and Communication Sciences and the School of Life Sciences. Wulfram Gerstner has been invited speaker at numerous international conferences and workshops. He has served on the editorial board of the Journal of Neuroscience, Network: Computation in Neural Systems', Journal of Computational Neuroscience', and `Science'.
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