Marinella MazzantiExpertise
Inorganic Chemistry, Coordination ChemistryF-elements Chemistry
Teaching & PhD Past EPFL PhD Students 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 Past EPFL PhD Students as codirector Andreichenko Andrei Courses Chemistry of f elements CH-427 The course will provide a synopsis of the chemistry of f e
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: DSPS-Safety Competence Center, EPFL andISIC-Group of Chemical and Physical Safety2007 - 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, physics 1997 - 2000: Holder of research fellowship for 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 OlhedeI am a professor of Statistics at EPFL. I did my PhD in Mathematics at Imperial College London, and graduated in 2003. I was an assistant professor (lecturer) at Imperial College London 2002-2006, and an associate professor (senior lecturer) 2006-2007. In 2007 I moved to University College London and became a full professor. I moved to EPFL in 2019, and in 2018 I became an Institute of Mathematical Statistics Fellow with citation “For seminal contributions to the theory and application of large and heteroge
Andrea CavallaroExpertise
I focus on machine learning for audio-visual sensing to enable systems to serve agreed purposes and improve their abilities through interactions with the environment, with other systems and with people. The goal of my research is to create the next-generation machine perception models for the effective use of sensory data, and the safe operation of autonomous systems that gain information about their environment and make decisions in partnership with humans or independently. These models are trans
Demetri PsaltisResearch group
Teaching & PhD PhD Students Victoria Fay, Colin Nikhil Christian Past EPFL PhD Students 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 Past EPFL PhD
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, Cambridge University, 1982 Interests 1 Active shape control for structures for deployment and where serviceability criteria governs 2 Biomimetic structures (learning, self-diagnosis, self-repair) 3 Infrastructure management support through structural identification 4 Advanced computer-aided engineering applications of stochastic optimization and search, multi-criteria analysis, system uncertainties (measurement and modelling), multi-modal approaches (combining statistics with behavior models) More details : see https://www.epfl.ch/labs/imac/research/iansmith/ 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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