Olivier MartinOlivier J.F. Martin received the M.Sc. and Ph.D. degrees in physics in 1989 and 1994, respectively, from the Swiss Federal Institute of Technology, Lausanne (EPFL), Switzerland. In 1989, he joined IBM Zurich Research Laboratory, where he investigated thermal and optical properties of semiconductor laser diodes. Between 1994 and 1997 he was a research staff member at the Swiss Federal Institute of Technology, Zurich (ETHZ). In 1997 he received a Lecturer fellowship from the Swiss National Science Foundation (SNSF). During the period 1996-1999, he spent a year and a half in the U.S.A., as invited scientist at the University of California in San Diego (UCSD). In 2001 he received a Professorship grant from the SNSF and became Professor of Nano-Optics at the ETHZ. In 2003, he was appointed Professor of Nanophotonics and Optical Signal Processing at the Swiss Federal Institute of Technology, Lausanne (EPFL), where he is currently head of the Nanophotonics and Metrology Laboratory and Director of the Microengineering Section.
Luis Guillermo Villanueva TorrijoGuillermo Villanueva is a Tenure Track Assistant Professor at the Ecole Polytechnique Federale de Lausane (EPFL), Switzerland, in the Mechanical Engineering Institute (IGM). Before joining EPFL he was a Marie Curie post-doctoral scholar at DTU (Denmark) and Caltech (California, US); and before a post-doc at EPFL-LMIS1. He received his M.Sc. in Physics in Zaragoza (Spain) and his PhD from the UAB in Barcelona (Spain).
Since the start of his PhD (2002), Prof. Villanueva has been active in the fields of NEMS/MEMS for sensing, having expertise from the design and fabrication to the characterization and applicability. He has co-authored more than 75 papers in peer-reviewed journals (h-index of 24 WoK, 32 GoS) and more than 100 contributions to international conferences.
He is serving, or has served, on the program committees of IEEE-NEMS, IEEE-Sensors, MNE, IEEE-FCS and Transducers. He is editor of Microelectronic Engineering. He has co-organized MNE2014 and SNC2015; and he is currently co-organizing the short courses at Transducers 2019 and the 16th International Workshop on Nanomechanical Sensors (NMC2019).
Martin JaggiMartin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, and at École Polytechnique in Paris. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich.
Nicolas MacrisNicolas Macris received the PhD degree in theoretical physics from EPFL and then pursued his scientific activity at the mathematics department of Rutgers University (NJ, USA). He then joined the Faculty of Basic Science of EPFL, working in the field of quantum statistical mechanics and mathematical aspects of the quantum Hall effect. Since 2005 he is with the Communication Theories Laboratory and Information Processing group of the School of Communication and Computer Science and currently works at the interface of statistical mechanics, information theory and error correcting codes, inference and learning theory. He held long-term visiting appointments and collaborations with the University College and the Institute of Advanced studies in Dublin, the Ecole Normale Supérieure de Lyon, the Centre de Physique Theorique Luminy Marseille, Paris XI Orsay, the ETH Zürich and more recently Los Alamos National Lab. CV and publication list.
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. 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.
