Kamiar AminianExpertise
Biomechanics of human movement Wearable Technology / Inertial sensors Gait Analysis / Physical Activity Monitoring Physical activity Patterns Sport Performance Orthopedics / Rehabilitation engineering Fall Prevention in Elderly Motor function in Parkinson disease Physical behavior in chronic pain
Expertise
Biomechanics of human movement Wearable Technology / Inertial sensors Gait Analysis / Physical Activity Monitoring Physical activity Patterns Sport Performance Orthopedics / Rehabilitation engin
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]
Federico AmatoI have an MSc in Engineering and a Ph.D. in Sustainable Development and Innovation Engineering. After a three-year Postdoc in Environmental Data Mining, in 2021 I joined the Swiss Data Science Centre, a joint venture between the polytechnical schools of Lausanne (EPFL) and Zurich (ETH) having as mission the acceleration of the digital transformation of the academic community and the industrial sector, putting to work Artificial Intelligence and Machine Learning and facilitating the multidisciplinary exchange of data and knowledge.
Over the years I worked on the development of methodological tools to mine and model big spatiotemporal datasets. I extensively applied such methods to study the interaction between the spatial and temporal components of environmental and geographical phenomena, and their consequences in terms of spatial planning and urban geography. My academic activity has focused on the analysis of land-use dynamics and their relationship with climate, pollution, natural hazards, and other social/economic phenomena. I have deep competencies in applied statistics, machine learning, geocomputation, spatial statistics, urban modeling, and remote sensing. I am also an expert in European Project development and implementation.
Mats Julius StensrudEnseignement et PhD Doctorant·es actuel·les Ignacio Gonzalez Perez, Gellért Géza Perényi, Lorenzo Gasparollo, Julien David Laurendeau A dirigé les thèses EPFL de Matias Janvin, Amit Sawant Cours Causal thinking MATH-352 Ce cours donnera une présentation unifiée des méthodes modernes d'inférence causale. Nous nous concentrons sur les concepts, et nous présenterons des exemples et des idées provenant de diverses disciplines scientifiques, notamment la médecine, l'informatique, l'ingénierie,
Didier TronoAprès des études de médecine à l’Université de Genève et une formation clinique en pathologie, médecine interne et maladies infectieuses à Genève et au Massachusetts General Hospital de Boston, Didier Trono s’engage dans une carrière scientifique au Whitehead Institute du MIT. En 1990, il est recruté par le Salk Institute de San Diego pour lancer un centre de recherche sur le SIDA. Il rentre en Europe sept ans plus tard, avant de prendre en 2004 les rênes de la toute nouvelle faculté des Sciences de la Vie de l’EPFL, dont il orchestre le développement et qu’il dirige jusqu’en 2012. Il participe aujourd’hui activement à la coordination des efforts de la Suisse en vue de l’intégration des nouvelles technologies dans le domaine de la médecine de précision et de la santé personnalisée.
Isabelle Barbara Marie-Hélène CardiaCandidature à l'Assemblée d'école
Afin de motiver mon engagement au sein de l’Assemblée d’École et du Conseil de Faculté, je souhaite mettre en avant mon parcours et mon expérience au sein de l’EPFL. Forte de quatorze années d’expérience au sein de l’institution, d’un parcours professionnel volontairement atypique et d’une formation en sciences humaines, je dispose d’un regard transversal et original que je souhaite mettre au service de l’Assemblée d’École et de la Faculté STI.Au cours de mon parcours à l’E
Denis GilletDenis Gillet received the Diploma in Electrical Engineering from the Swiss Federal Institute of Technology in Lausanne (EPFL) in 1988, and the Ph.D. degree in Information Systems also from the EPFL in 1995. During 1992 he was appointed as Research Fellow at the Information Systems Laboratory of Stanford University in the United States. He is currently Maître d'enseignement et de recherche at the EPFL School of Engineering, where he leads the React research group. His current research interests include Technologies Enhanced Learning (TEL), Human Computer Interaction (HCI), Human Devices Interaction (HDI) and Optimal Coordination of Complex and Distributed Systems. Denis Gillet is affiliated at EPFL with the Center for Intelligent Systems and the Center for Digital Education.
Alexandre TerrierEnseignement et PhD Doctorant·es actuel·les Mi-Lane Bouchez, Léa Pistorius A co-dirigé les thèses EPFL de Miguel Gortchacow, Adeliya Latypova, Christoph Anselm Engelhardt, Valérie Malfroy Camine, Yasmine Boulanaache, Pezhman Eghbalishamsabadi Cours Engineering of musculoskeletal system and rehabilitation BIO-687 Numerical methods in biomechanics ME-484 Les étudiants comprennent et appliquent les méthodes numériques (MEF) pour répondre à une question de recherche en biomécan
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