Rita Bütler SauvainParcours professionnel
Dès 2005: Collaboratrice scientifique (60%) à
l'Institut fédéral de recherche sur la forêt, la neige et le paysage (WSL)
20032005: Fonctionnaire scientifique (60%) à l'Ecole polytechnique fédérale de Lausanne (EPFL)
1997-2003: Première assistante (80%) à l'Ecole polytechnique fédérale de Lausanne (EPFL)
1996: Biologiste (100%) au
Service des forêts, de la faune et de la nature du canton de Vaud (SFFN)
, Lausanne
1993: Chargée de cours (30%) à l'Institut de préparation à la maturité (IPES), Lausanne
1992: Chargée de cours (100%)
NTB (Interstaatliche Hochschule für Technik)
, Buchs
1991-92: Chef de projet et Chargée de cours (100%)
Technische Universität VŜST, Liberec, République tchèque
1989-91: Enseignante des sciences naturelles (50-100%)
Kantonssekundarschule (KKSS)
et
KSBG (Kantonsschule am Burggraben)
Formation
2003: Thèse pour le titre de Docteur ès sciences, EPF-Lausanne.
Dead wood in managed forests: how much and how much is enough? Development of a snag-quantification method by remote sensing and GIS and snag targets based on Three-toed woodpeckers' habitat requirements.
2003
Prix de recherche «Hintermann & Weber»
1995: Diplôme postgrade en Sciences de lenvironnement, EPF-Lausanne.
1989: Diplôme d'enseignement secondaire en sciences naturelles et mathématiques,
PHSG (Pädagogische Hochschule)
, St. Gallen
1989: Diplôme en Sciences naturelles, Haute Ecole Pédagogique, St-Gall.
1984: Maturité Type B Latin, Gymnase de St-Gall. Prix du meilleur examen.
Langues et informatique
Allemand: langue maternelle
Français: excellentes connaissances (bilinguisme)
Anglais: courant (parlé et écrit)
PC sous Windows, Bureautique (Office)
Statistique (Statistica), Systèmes dinformation géographique (MapInfo), Base de données (Access), Traitement dimage (Erdas Imagine).
Centres dintérêt
Ornithologie (ancien membre du comité de La Vaux-Lierre, centre de soins pour oiseaux sauvages ; relevés de terrain pour lAtlas des oiseaux nicheurs de Suisse, Sempach)
Botanique (relevés de terrain pour le Centre du réseau suisse de floristique, Genève)
Musique (piano, orgue, musique de chambre)
Basket (ancien membre actif en LNB et membre de comité dune association de basket pendant 5 ans)
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.
Dusan LicinaDusan Licina is a Tenure Track Assistant Professor of Indoor Environmental Quality at the School for Architecture, Civil, and Environmental Engineering (ENAC) at EPFL. He leads the Human-Oriented Built Environment Lab (HOBEL) in Fribourg since 1 June 2018. Dusan’s research and teaching are driven by the need to advance knowledge of the intersections between people and the built environment in order to ensure high indoor environmental quality for building occupants with minimum energy input. His research group specializes in air quality engineering, focusing on understanding of concentrations, dynamics and fates of air pollutants within buildings, and development and application of methods to quantitatively describe relationships between air pollution sources and consequent human exposures. His research interests also encompass optimization of building ventilation systems with an aim to improve air quality and thermal comfort in an energy-efficient manner. Throughout his career, Dusan specialized in air quality engineering, focusing on sources and transport of air pollutants in buildings, human exposure assessment, and optimization of building ventilation systems with an aim to improve air quality. Dusan completed my joint Doctorate degree at the National University of Singapore and Technical University of Denmark. He was formerly master and bachelor student in Mechanical Engineering at the University of Belgrade, Serbia. Prior to joining EPFL, Dusan worked for 3.5 years in the USA, first he was a postdoctoral researcher at the University of California Berkeley, and then he served as director on the standard development team at International WELL Building Institute (IWBI) in New York. Dusan is the recipient of several honors and awards, including Ralph G. Nevin’s award by the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) given in recognition of significant accomplishment in the study of human response to the environment. He is editorial board member of the highly acclaimed Indoor Air journal. He is passionate about raising awareness about the air quality issues worldwide and developing buildings that are not only energy efficient, but that also contribute to “Michelin Star” indoor air quality.
Philippe MichelPh. Michel's main research interest lie in the field of analytic number theory and range over a variety of techniques and methods which include: arithmetic geometry, exponential sums, sieve methods, automorphic forms and allied representations, L-functions and more recently ergodic theory.
Ph. Michel is a former student of ENS Cachan and obtained his PhD in Universté Paris XI in 1995 under the guidance of E. Fouvry. From 1995 to 1998 he was maître de conférence at Universté Paris XI and full professor at Université Montpellier II until 2008 then when he joined EPFL. Ph. Michel was awarded the Peccot-Vimont prize, has been member of the Institut Universitaire de France and wa invited speaker at the 2006 International Congress of Mathematician.
Roberto CastelloRoberto Castello is a senior scientist and group leader at the EPFL Laboratory of Solar Energy and Building Physics. Physicist by training, he has extensive experience in collecting, classifying and interpreting large datasets using advanced data mining techniques and statistical methods. He received his MSc (2007) in Particle Physics and PhD (2010) in Physics and Astrophysics from the University of Torino. He worked as a postdoctoral researcher at the Belgian National Research Fund (2011-2014) and at the CERN Experimental Physics Department (2015-2017) as a research fellow and data scientist. He is primary author of more than 20 peer-reviewed publications and he presented at major international conferences in the high energy physics domain.
In 2018 he joined the Solar Energy and Building Physics Laboratory (LESO-PB) to work on data mining and Machine Learning techniques for the built environment and renewable energy. His main research interests are: spatio-temporal modeling of renewable energy potential, energy consumption forecasting techniques, anomaly detection, and computer vision techniques for automated classification in the built environment.
He leads the group of Urban Data Mining, Intelligence and Simulation at LESO-PB and he is a member of the NRP75 Big Data project (HyEnergy) of the Swiss National Science Foundation. He is a member of the Swiss Competence Centre for Energy Research (SCCER) and deputy leader of the working group on Leveraging Ubiquitous Energy Data. He has served as a scientific committee member, workshop organizer and speaker at international conferences (ICAE 2020, Applied Machine Learning Days 2019 and 2020, CISBAT 2019 and 2021 and SDS2020).
Since 2017 he is member of the Geneva 2030 Ecosystem network, promoting the United Nations agenda towards the realization of the Sustainable Development Goals (SDGs).
Karen ScrivenerDe nationalité anglaise, Karen Scrivener est née en 1958. Au cours de sa carrière, ses travaux et sa recherche traitaient des domaines suivants: Identification du développement microstucturale pendant l'hydratation du ciment. Elaboration d'une approche multitechnique pour étudier la microstucture des ciments et bétons, avec accent sur la quantification par analyse des images d'électrons retrodiffusés. Caractérisation de l'auréole de transition de la pâte de ciment autour des granulats. Compréhension des processus de dégardation des bétons, en particulier le gonflement lié à la formation de l'éttringite retardée dans les bétons étuvés.
