Ali H. SayedAli H. Sayed is Dean of Engineering at EPFL, Switzerland, where he also leads the Adaptive Systems Laboratory. He has also served as Distinguished Professor and Chairman of Electrical Engineering at UCLA. He is recognized as a Highly Cited Researcher and is a member of the US National Academy of Engineering. He is also a member of the World Academy of Sciences and served as President of the IEEE Signal Processing Society during 2018 and 2019.
Dr. Sayed is an author/co-author of over 570 scholarly publications and six books. His research involves several areas
including adaptation and learning theories, data and network sciences, statistical inference, and multiagent systems.
His work has been recognized with several major awards including the 2022 IEEE Fourier Award, the 2020 Norbert Wiener Society Award and the 2015 Education Award from the IEEE Signal Processing Society, the 2014 Papoulis Award from the European Association for Signal Processing, the 2013 Meritorious Service Award and the 2012 Technical Achievement Award from the IEEE Signal Processing Society, the 2005 Terman Award from the American Society for Engineering Education, the 2005 Distinguished Lecturer from the IEEE Signal Processing Society, the 2003 Kuwait Prize, and the 1996 IEEE Donald G. Fink Prize. His publications have been awarded several Best Paper Awards from the IEEE (2002, 2005, 2012, 2014) and EURASIP (2015). He is a Fellow of IEEE, EURASIP, and the American Association for the Advancement of Science (AAAS); the publisher of the journal Science.
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.
Claudia Rebeca Binder SignerClaudia R. Binder, a Swiss, Canadian and Colombian citizen, was born in Montreal and spent most of her childhood in Switzerland and Colombia. She studied at ETH Zurich from 1985 to 1996, earning a degree in biochemistry and then a PhD in environmental sciences. After conducting her post-doctoral research at the University of Maryland in the US from 1996 to 1998, she returned to Switzerland and took a position as a senior research scientist at ETH Zurich, studying the interaction between human and environmental systems at the Institute for Natural and Social Science Interface. In 2006, Binder joined the University of Zurich as an assistant professor in the Department of Geography, and in 2009 moved to the University of Graz in Austria where she served as a full professor of systems science. In 2011, she took a position at the University of Munich’s Department of Geography as a full professor of human-environment relations.
Binder joined EPFL in March 2016 and set up the Laboratory for Human-Environment Relations in Urban Systems (HERUS) at ENAC; she also holds the La Mobilière Chair on Urban Ecology and Sustainable Living.
Her research involves analyzing, modelling and assessing the transition of urban systems towards sustainability. She looks in particular at how we can better understand the dynamics of urban metabolism, what characterizes a sustainable city, and what drives and hinders transformation processes. She does so by combining knowledge from social, natural and data science. Her research focuses on food, energy, and sustainable living and transport in urban systems.
In Switzerland, Binder was appointed to the Research Council, Programs Division of the Swiss National Science Foundation (SNSF) in 2016 and serves on the Steering Committee of the SNSF’s National Research Program 71, “Managing Energy Consumption” and the Swiss Competence Centers for Energy Research (SCCER). She is also a member of the Steering Board on Sustainability Research for the Swiss Academies of Arts and Sciences. In 2019, she was elected as a member of the University Council of the University of Munich (LMU).
At EPFL, Binder is the academic director of Design Together, a cross-disciplinary teaching initiative. She was appointed to the management team of the Energy Center in 2018 and as head of the working group on EPFL’s energy and sustainability strategy in 2019.
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.
Urs von StockarOriginaire de Zurich, Urs von Stockar est né en1942. Ingénieur chimiste diplômé de l'EPFZ en 1967, il y est ensuite assistant au Laboratoire de chimie technique et, en 1973, soutient sa thèse couronnée par la médaille d'argent de l'EPFZ.
De 1973 à 1976, il travaille au département de génie chimique de l'Université de Californie. Il y enseigne et participe au développement d'un procédé technique pour la conversion biologique de la cellulose en alcool.
En 1977, il est ingénieur chimiste chez Ciba-Geigy. Fin 1977 il est nommé professeur extraordinaire à l'EPFL. Il dirige l'Institut de génie chimique en 1978/79 et en 1989/90. Il est professeur ordinaire en 1982. En 1982/83 et 1993/95, il dirige le Département de chimie. Son enseignement et sa recherche traitent des opérations de transfert de masse et de la biotechnologie, il s'intéresse également aux questions de bioénergétique et de biothermodynamique. Collaborant avec l'UNIL et l'ISREC, son équipe développe des procédés de fabrication d'anticorps monoclônaux spéciaux, capables de protéger les muqueuses humaines. En 1990 il est nommé professeur associé à l'Université de Genève. Il représente la Suisse dans un groupe d'experts de la Fédération européenne de biotechnologie. Après avoir siégé pendant plusieurs années dans son Comité de direction, il a été nommé président de la Fédération Européenne de Biotechnologie pour la période 1996-97. Depuis 1991, il dirige le Comité de coordination suisse pour la biotechnologie.
Diploma in Chemical Eng.-1967-ETHZ, CH
Ph.D.-1972-ETHZ, CH
Postdoc. Fellow-1973-76-Univ. of California, Berkeley, US
