Rémy GlardonNé en 1950, originaire de Vallorbe (VD). Il étudie à l'EPFL où il obtient un diplôme d'ingénieur en 1973 et le titre de docteur es sciences techniques en 1977. Il rejoint en janvier 1979 l'University of California à Berkeley où il entreprend des travaux dans le domaine de l'usure et de la mécanique de rupture. A partir de 1982 il occupe différents postes dans le management, d'abord dans l'assurance de qualité, puis dans la production et la logistique au sein de la société Mettler-Toledo à Greifensee, ZH.
Il rejoint, en 1990, l'entreprise Amysa à Yverdon où il occupe le poste de directeur technique.
En 1993, il est nommé directeur des opérations et membre du comité de direction du groupe Portescap à La Chaux-de-Fonds. Il y dirige toutes les unités opérationnelles de l'entreprise et, en tant que tel, entreprend une réorganisation visant à améliorer les performances de la logistique et de l'outil de production de manière à mieux répondre aux besoins du marché.
Depuis 1995 il est professeur extraordinaire de gestion et processus de production au Département de génie mécanique. Ses travaux de recherche portent en particulier sur la modélisation et la simulation de la production et de la logistique interne, sur le développement des techniques de Rapid Manufacturing et Rapid Tooling, ainsi que sur l'intégration de procédés d'usinage non-traditionnels (EDM, ECM).
Lothar HelmLothar Helm was born in Gernsbach (Germany) in 1952. He studied physics at the University of Karlsruhe (Germany) and obtained his diploma degree in 1977. He remained in Karlsruhe for his Ph.D. research with Prof. H. G. Hertz and received his degree in physical chemistry in 1980. In 1980 he joined the laboratories of Prof. André Merbach at the University of Lausanne, Switzerland. From 1983 to 2001 he was maître denseignement et de recherche at the Faculty of Science of the University of Lausanne. In 2001 he moved, together with the whole chemistry department, from the University of Lausanne to the Ecole Polytechnique Fédérale de Lausanne (EPFL). Since 2006 he is adjunct professor at the Institute of Chemical Sciences and Engineering at EPFL and director of the NMR services of the institute.
From 2007 to 2011 he was director of the "Conférence du corps Enseignant" at EPFL. Since 2011 he is member of the School Assembly of EPFL (AE).
MAIN RESEARCH INTERESTS:
Physico-chemical studies of contrast agents for medical magnetic resonance imaging (MRI)
Study of reactivity and reaction mechanisms in coordination chemistry by variable temperature and pressure nuclear magnetic resonance
Computer simulation of solvent dynamics on cations and metal complexes in solution
Professional course
Anthony Christopher DavisonAnthony Davison has published on a wide range of topics in statistical theory and methods, and on environmental, biological and financial applications. His main research interests are statistics of extremes, likelihood asymptotics, bootstrap and other resampling methods, and statistical modelling, with a particular focus on the first currently. Statistics of extremes concerns rare events such as storms, high winds and tides, extreme pollution episodes, sporting records, and the like. The subject has a long history, but under the impact of engineering and environmental problems has been an area of intense development in the past 20 years. Davison''s PhD work was in this area, in a project joint between the Departments of Mathematics and Mechanical Engineering at Imperial College, with the aim of modelling potential high exposures to radioactivity due to releases from nuclear installations. The key tools developed, joint with Richard Smith, were regression models for exceedances over high thresholds, which generalized earlier work by hydrologists, and formed the basis of some important later developments. This has led to an ongoing interest in extremes, and in particular their application to environmental and financial data. A major current interest is the development of suitable methods for modelling rare spatio-temporal events, particularly but not only in the context of climate change. Likelihood asymptotics too have undergone very substantial development since 1980. Key tools here have been saddlepoint and related approximations, which can give remarkably accurate approximate distribution and density functions even for very small sample sizes. These approximations can be used for wide classes of parametric models, but also for certain bootstrap and resampling problems. The literature on these methods can seem arcane, but they are potentially widely applicable, and Davison wrote a book joint with Nancy Reid and Alessandra Brazzale intended to promote their use in applications. Bootstrap methods are now used in many areas of application, where they can provide a researcher with accurate inferences tailor-made to the data available, rather than relying on large-sample or other approximations of doubtful validity. The key idea is to replace analytical calculations of biases, variances, confidence and prediction intervals, and other measures of uncertainty with computer simulation from a suitable statistical model. In a nonparametric situation this model consists of the data themselves, and the simulation simply involves resampling from the existing data, while in a parametric case it involves simulation from a suitable parametric model. There is a wide range of possibilities between these extremes, and the book by Davison and Hinkley explores these for many data examples, with the aim of showing how and when resampling methods succeed and why they can fail. He was Editor of Biometrika (2008-2017), Joint Editor of Journal of the Royal Statistical Society, series B (2000-2003), editor of the IMS Lecture Notes Monograph Series (2007), Associate Editor of Biometrika (1987-1999), and Associate Editor of the Brazilian Journal of Probability and Statistics (1987 2006). Currently he on the editorial board of Annual Reviews of Statistics and its Applications. He has served on committees of Royal Statistical Society and of the Institute of Mathematical Statistics. He is an elected Fellow of the American Statistical Assocation and of the Institute of Mathematical Statistics, an elected member of the International Statistical Institute, and a Chartered Statistician. In 2009 he was awarded a laurea honoris causa in Statistical Science by the University of Padova, in 2011 he held a Francqui Chair at Hasselt University, and in 2012 he was Mitchell Lecturer at the University of Glasgow. In 2015 he received the Guy Medal in Silver of the Royal Statistical Society and in 2018 was a Medallion Lecturer of the Institute of Mathematical Statistics.
Ronan BoulicI come from Brittany, France, where I have completed my PhD degree in Computer Science in 1986 from the University of Rennes, France, at the INRIA-IRISA research institute. I also received the Habilitation degree from the University of Grenoble, France, in march 1995. I was hired in 1989 as First Assistant in the VRLAB, I became scientific collaborator, and senior researcher. I'm presently Senior Scientist (MER) and leader of the Immersive Interaction research Group (IIG). I'm co-author of around 150 research papers among which 43 appeared in international peer-reviewed journals. I have contributed to multiple SNF projects and EU projects. Please check iig.epfl.ch for more details.
John MaddocksCitoyen de Grande Bretagne, John Maddocks est né en 1958. Il a obtenu un diplôme en mathématiques en 1978, à l'Université de Glasgow (Ecosse), ainsi qu'un doctorat à l'Université d'Oxford (Angleterre) en 1981. Sa thèse concernait la bifurcation et l'échange de stabilité dans les principes variationnels contraints qui apparaissent en théorie de l'élasticité. Il a ensuite effectué des travaux de recherche à l'Université de Stanford (USA), puis à Oxford, avant de rejoindre l'Université du Maryland (USA) en 1984. Il y est nommé professeur associé en 1989, puis professeur ordinaire en 1993. Il a notamment été chercheur invité à l'Université du Minnesota, du Texas, de Heriot-Watt, d'Oxford, à l'Institut Courant à New York et à l'École polytechnique fédérale de Zurich.
Ses travaux de recherche concernent principalement l'analyse et les techniques computationnelles en mécanique non linéaires.Il a effectué des travaux interdisciplinaires faisant intervenir différents domaines, tels la robotique, la dynamique des satellites et l'étude de macromolécules comme l'ADN. Il est spécialiste de la théorie de la stabilité des systèmes hamiltoniens et des phénomènes de bifurcation dans les problèmes de calcul des variations paramétrés. Plus récemment, il a mis au point des outils de calcul scientifique interactifs qui utilisent des techniques de visualisation avancées.
En juin 1997, il est nommé professeur ordinaire en analyse appliquée, au Département de mathématiques. Il enseigne en particulier l'analyse et des cours plus spécialisés aux ingénieurs et ingénieurs mathématiciens. Il continuera à effectuer des travaux de recherche en mécanique du continu, en techniques de visualisation, en analyse et en calcul scientifique.
