Roland LongchampRoland Longchamp is Professor of Automatic Control and Director of the Automatic Control Laboratory at the Swiss Federal Institute of Technology in Lausanne (EPFL). He received his Diploma in Electrical Engineering and his Ph.D. degree both from EPFL. He was appointed as Postdoctoral Fellow, first at the Information Systems Laboratory, Stanford University, and then at the Decision and Control Laboratory, University of Illinois at Urbana-Champaign, working in the areas of nonlinear systems, estimation theory and predictive control. He was with the Asea Brown Boveri Company in Turgi, Switzerland, involved in the field of on-line control of large power systems. He joined EPFL in 1983, where his current research interests include control of linear systems, adaptive control, robust control, with applications to mechatronic systems. He served as Head of the Mechanical Engineering Department in 1991-1993 and as Director of the Automatic Control Laboratory for the periods 1986-1993 and 1997-2003. He is Editor of the EPFL Press Mechanical Engineering Series since 1996.
Theo LasserDe nationalité allemande, né en 1952 à Lauchheim (Baden-Württemberg). Après des études de physique à l'Université Fridericiana de Karlsruhe, il y obtient son diplôme de physique en 1978.
En 1979, il rejoint l'Institut de Recherches franco-allemand à Saint-Louis (France) comme collaborateur scientifique. En 1986, il rejoint la division de recherche de Carl Zeiss à Oberkochen (Allemagne) où il développe principalement divers systèmes laser pour des applications médicales. Dès 1990, il dirige le laboratoire laser de la division médicale. En 1993, il prend la direction de l'unité "laser d'ophtalmologie". Dès le début 1995, il est chargé de restructurer et regrouper les nombreuses activités d'ophtalmologie chez Carl Zeiss et de les transférer à Jena. Durant cette période, il réalise des nouveaux instruments de réfraction, des biomicroscopes et des caméras rétiniennes.
Dès janvier 1998, il dirige la recherche de Carl Zeiss à Jena où il initie de nouveaux projets en microscopie, en microtechnique et en recherche médicale. En juillet 1998, il est nommé professeur ordinaire en optique biomédicale à l'Institut d'optique appliquée. Au sein du Département de microtechnique, son activité de recherche porte sur la photonique biomédicale. Il participe à l'enseignement d'optique et d'instrumentation biomédicale.
Short CV
1972 Physics University of Karlsruhe (Germany)
1979 l'Institut de Recherches franco-allemand à Saint-Louis (France)
1986 central research division Carl Zeiss, Oberkochen (Germany)
1990 Med - Division, ophthalmic lasers
1994 Ophthalmology division, Carl Zeiss Jena
1998 Head of Central research Carl Zeiss Jena
1998 full Professor Ecole Polytechnique Federale Lausanne, Switzerland
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.
Jeffrey HuangJeffrey Huang is the Director of the Institute of Architecture at EPFL (starting May 1, 2020), that comprises 25 laboratories and groups. He is also the Head of the Media x Design Laboratory and a Full Professor in Architecture and Computer Science, at the Faculty of Computer and Communication Sciences (IC), and at the Faculty of Architecture, Civil and Environmental Engineering (ENAC). He holds a DiplArch from ETH Zurich, and Masters and Doctoral Degrees from Harvard University, where he was awarded the Gerald McCue medal for academic excellence. He started his academic career as a researcher at MIT’s Sloan School of Management (Center for Coordination Sciences). In 1998 he returned to Harvard as an Assistant Professor of Architecture and was promoted to Associate Professor in 2001. In 2006 he was named Full Professor at EPFL in Switzerland where he holds joint professorships at I&C and ENAC, and heads the Media x Design Lab. He was also a Visiting Professor at Tsinghua University, a Visiting Fellow at Stanford University’s d.school, a Honorary Visiting Professor at the University of Sheffield, and a Berkman Fellow and Faculty Associate at Harvard University (Berkman Klein Center for Internet & Society). Professor Huang’s research examines the convergence of physical and digital architecture. His recent work investigates new artificial design paradigms (design decoding and encoding), theories of experience design, and the application of algorithmic urbanism in Chinese cities. His current teaching examines the possible role of artificial intelligence in architecture (see MxD studios). In collaboration with Muriel Waldvogel, he heads Convergeo, an award-winning, international strategic and experience design firm. From 2014-2017, while on leave from EPFL, he led the creation of a ground-breaking, new school of architecture in Singapore, as the Head of the Architecture and Sustainable Design Pillar at the Singapore University of Technology and Design (SUTD), established in collaboration with MIT.
Thomas LieblingThomas M. Liebling (http://roso.epfl.ch) is Mathematics Professor Emeritus at EPFL (Lausanne), where he taught from 1980 to 2008 and directed the OR group ROSO.
He served on the jury of 112 PhD and habilitation theses, 39 as director. He further supervised 150 MS theses and 350 term projects, many of which in collaboration with industry and private and public services. He published over 200 refereed papers, books, and book chapters.
Previous appointments were with ETHZ, and RPI; as visiting professor with Cornell, ELTE-Budapest, MIT, PUC-Rio, and Stanford.
He received his education from ETH Zurich:
MS in EE (1966, automatic control),
PhD in operations research (1969; awarded the ETH prize and medal).
Mathematics habilitation (1973) with a pioneering probabilistic study on the number of iterations of the simplex method.
Postdoctoral fellowship (1970/71) Stanford University with G.B. Dantzig
He holds the Science Prize of the German OR Society, is a member of the Swiss Academy of Engineering Sciences and the Scientific Council of ZIB, Berlin.
He received a honorary degree from the Universidad Nacional Mayor de San Marcos, Lima and the Medal of Merit from EPN Escuela Politécnica Nacional, Quito.
Editorial activities: DE (Optimization and Networks) of Management Science, AE of Operations Research, OR-letters, OR-Spectrum, EJOR, Discrete Applied Optimization, and Math. Programming, recurring guest-editor of MPB and DAM.
He is Editor in Chief of the MOS-SIAM book series on optimization.
He is a founding organizer of the Aussois Workshops in Combinatorial Optimization, and member of the steering committee of LAGOS (Latin American Graphs, Optimizstion Symposium) chaired the MPS Publications Committee, Tucker Prize Committee, and presently chairs its Symposium Advisory Committee. He organized ISMP 1997 at EPFL, with nearly 1500 participants from 63 countries, the largest to date. He has chaired the Conference of Department Chairmen (a position comparable to a provost), the Computer Commission (responsible for the introduction at EPFL of the first Swiss supercomputer), and further chaired the Research Commission over 6 years, he created the Doctoral Award and was its first Jury chair. He belonged to the Board of Trustees of the Swiss National Science Foundation .
Much of his research lies at the interface with other disciplines (physics, life sciences, materials science, management, engineering, logistics), focusing on complex systems modeling, simulation, and optimization.
His present research interests are in algorithmic game theory and complex particle system modeling and simulation using paradigms from mathematical programming, discrete geometry and probability. 