Volkan CevherVolkan Cevher received the B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and the Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in Atlanta, GA in 2005. He was a Research Scientist with the University of Maryland, College Park from 2006-2007 and also with Rice University in Houston, TX, from 2008-2009. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University. His research interests include machine learning, signal processing theory, optimization theory and methods, and information theory. Dr. Cevher is an ELLIS fellow and was the recipient of the Google Faculty Research award in 2018, the IEEE Signal Processing Society Best Paper Award in 2016, a Best Paper Award at CAMSAP in 2015, a Best Paper Award at SPARS in 2009, and an ERC CG in 2016 as well as an ERC StG in 2011.
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.
Jean-Philippe ThiranJean-Philippe Thiran was born in Namur, Belgium, in August 1970. He received the Electrical Engineering degree and the PhD degree from the Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium, in 1993 and 1997, respectively. From 1993 to 1997, he was the co-ordinator of the medical image analysis group of the Communications and Remote Sensing Laboratory at UCL, mainly working on medical image analysis. Dr Jean-Philippe Thiran joined the Signal Processing Institute (ITS) of the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in February 1998 as a senior lecturer. He was promoted to Assistant Professor in 2004, to Associate Professor in 2011 and is now a Full Professor since 2020. He also holds a 20% position at the Department of Radiology of the University of Lausanne (UNIL) and of the Lausanne University Hospital (CHUV) as Associate Professor ad personam. Dr Thiran's current scientific interests include
Computational medical imaging: acquisition, reconstruction and analysis of imaging data, with emphasis on regularized linear inverse problems (compressed sensing, convex optimization). Applications to medical imaging: diffusion MRI, ultrasound imaging, inverse planning in radiotherapy, etc.Computer vision & machine learning: image and video analysis, with application to facial expression recognition, eye tracking, lip reading, industrial inspection, medical image analysis, etc.
Jacques RappazOriginaire de Neyruz-sur-Moudon (VD), Jacques Rappaz est né le 22 mars 1947. Après ses études primaires et secondaires à Lausanne, il étudie la physique, de 1964 à 1970, à l'Ecole Polytechnique de l'Université de Lausanne (EPUL et EPFL dès 1969) où il obtient son diplôme en janvier 1971. Il entreprend ensuite un travail de recherche en analyse numérique à l'EPFL. En avril 1976, il soutient une thèse consacrée à l'approximation spectrale d'opérateurs provenant de la physique des plasmas. De 1977 à 1980, il est boursier du Fonds National Suisse (FNS) et séjourne à Paris. A l'Ecole Polytechnique de Palaiseau et à l'Université Paris VI, il travaille sur l'approximation de problèmes non-linéaires provenant de la physique.De 1980 à 1985, il retourne à l'EPFL en tant que chercheur au FNS puis collaborateur scientifique du Professeur Jean Descloux. En 1983 il entreprend, en collaboration avec l'entreprise Alusuisse, des recherches sur la simulation numérique du procédé Hall-Héroult permettant la production de l'aluminium par électrolyse. Ces recherches ont débouché par la suite sur de nombreux projets en collaboration avec les compagnies Alcan, puis Péchiney et Rio Tinto. En 1985, Jacques Rappaz est nommé professeur ordinaire de mathématiques appliquées à l'Université de Neuchâtel qu'il quittera en octobre 1987 pour un poste de professeur ordinaire à l'EPFL. De 1983 à 2012 où il a pris sa retraite, Jacques Rappaz a enseigné de nombreux cours d'analyse et d'analyse numérique aux ingénieurs et aux mathématiciens de l'EPFL, de l’Université de Genève et de l'Université de Neuchâtel. Sa recherche concerne les aspects théoriques et pratiques de la résolution numérique des équations aux dérivées partielles. Il a participé à de nombreux projets de simulations numériques en collaboration avec les milieux industriels et/ou les départements d'ingénieurs de l'EPFL.
Pramod RastogiHe received his MSc degree from the University of Lucknow, MTech degree from the Indian Institute of Technology Delhi, and doctorate degree from the University of Franche Comté in France. His research activities are principally in the area of holographic interferometry, speckle metrology, fiber optics sensors, phase shifting and moiré. He is the author or coauthor of more than 175 scientific papers of which more than 140 are published in peer-reviewed archival journals. He is also the author of book chapters, Encyclopaedia articles, and has edited several books in the field of optical metrology. His guest-edited three special sections on Optics in Switzerland for Optical Engineering in 1995 are even today an invaluable source of reference relative to optical engineering activities in Switzerland both at the academic and industrial levels. He has guest-edited over a dozen special dedicated issues in archival journals. He has also chaired and organized several international symposiums, such as, the International Conference on Applied Optical Metrology, Balatonfüred, Hungary, June 8-11, 1998; or the Conference on Trends in Optical Non-destructive Testing, Lugano, Switzerland, May 2-5, 2000, or the Conference on Advanced Phase Measurement Methods in Optics and Imaging, Monte Verita, Ascona, Switzerland, May 16-21, 2010 etc. He is a Fellow of the Optical Society of America (1993) and a Fellow of the Society of the Photo-Optical Instrumentation Engineers (1995). He is also a recipient of the Hetényi Award for the most significant research paper published in Experimental Mechanics in the year 1982.He was Elected as a Member of the Swiss Academy of Engineering Sciences (SATW) in 2014. He was recipient of the SPIE Dennis Gabor Award, 2014. The Dennis Gabor award is presented annually in recognition of outstanding accomplishments in diffractive wave front technologies, especially those which further the development of holography and metrology applications. He was an honorary visiting Professor at the IIT Delhi between 1999 & 2003. Since 2000 he has also been active in laying groundwork for collaboration with the Indian Institutes of science and technology. Between the years 2000 & 2004, he was doing this as a part of his broader activity as in-charge of relations with Asia. His initiatives have led to academic exchange programs involving faculty and students with a view to fostering networking, research linkages and partnerships. To cite a few of his many initiatives: his active contribution to the holding of a high level Indo Swiss Workshop on Science & Technology at Bangalore in 2003; the setting up of ISJRP - the pilot project on bilateral partnership in S&T between Switzerland and India - in 2004; developing ISBRI (Indo-Swiss bilateral research initiative) in 2006; etc. He remained as the main coordinator of the Indo-Swiss Joint Research Program between the period covering the program's inception in 2004 until February 2011. He is currently responsible for developing academic and institutional relations with the universities in India and South-East Asian countries. He has been instrumental in helping to open up a range of opportunities to the EPFL students, such as, doing their "mobility" years at one of the IITs or, their final year major projects or internships at one of the Indian institutions/companies. Over a hundred EPFL students have benefited from these programs. He was instrumental in establishing Internship program with the aim of promoting an awareness of EPFL among the IIT students. This program has become very popular among the IIT and IIITA students with several hundreds of them having benefited from this program. He played a key role in the setting up of the EPFL-IIT Madras joint postgraduate course on "Technology and sustainable development" in 2000-01. He was the co-director of the last edition of the course which was held between January and April, 2008.
