Fabrizio CarboneBirth 20/04/1976
Master degree: University of Pavia "optoelectronic engineering". September 2001.
Reasearch scientist at Pirelli Labs, Milan Italy between September 2000 and August 2002.
PhD in condensed matter physics from the University of Geneva, prof. van der Marel gorup. January 2007
Post doc in physical chemistry at Caltech in prof. Zewail`s group. March 2007-April 2009
Alfio QuarteroniOf italian nationality, Alfio Quarteroni was born on May 30th 1952. He pursued his studies in mathematics at University of Pavia and at University of Paris VI. In 1986 he was nominated full professor at Catholic University of Brescia, later professor in mathematics at University of Minnesota at Minneapolis and professor in numerical analysis at Politecnico di Milano. He is designated full professor in 1997 and enters into service with EPFL in 1998. At EPFL, he teaches numerical analysis to engineers and mathematicians and holds specialized courses about mathematical modelling and scientific computing for master and PhD students. He had been scientific director of CRS4, plenary speaker of more than two hundred international conferences; he is member of the European Academy of Sciences, the Italian Academy of Sciences, the Lombard Academy of Science and Letters. He is Editor in Chief of two book series (MS&A and Unitext) by Springer, associate editor of 25 international journals. He has been plenary speaker at the International Congress of Mathematicians ICM2006. He had been responsible of several European research networks. His team has carried out the aerodynamic and hydrodynamic simulations for the optimization of Alinghi, the Swiss sailing yacht that has won two editions of the America's Cup in 2003 and 2007.
Pavel KejikPavel Kejik received the diploma degree in 1994 and the Ph.D. degree in 1999 at the Czech Technical University of Prague. In 1999, he joined the Institute of Microelectronics and Microsystems at the EPFL to work on Institute's circuit design and testing. His research interests include fluxgate magnetometry and micro-Hall sensors combined with mixed-signal IC design and low-noise circuit design for industrial applications. Since 2014, Pavel is with Monolithic Power Systems company (the EPFL spin-off company Sensima Technology SA before acquisition) actively working on industrialization of magnetic sensors. He is inventor or co-inventor of several patents related to novel magnetic sensing structures and methods in the domain of contactless current measurement, angular sensing and non-destructive testing. He is giving a lecture devoted to recent developments in the field of smart Hall microsystems within the frame of a yearly Europractice course
Smart sensor systems
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Oleg YazyevProf. Oleg Yazyev (Олег Язев) was born in Simferopol, Crimean peninsula. He obtained his degree in chemistry from Moscow State University in 2003. He then joined Ecole Polytechnique Fédérale de Lausanne (EPFL) completing his PhD thesis in chemistry and chemical engineering in 2007. Next two years he has spent as a postdoctoral fellow at the Institute of Theoretical Physics (ITP) and the Institute for Numerical Research in the Physics of Materials (IRRMA) of the same institution. In 2009-2011 he was a postdoctoral fellow at the Department of Physics of the University of California, Berkeley and the Lawrence Berkeley National Laboratory. In September 2011 he started an independent research group supported by the Swiss National Science Foundation professorship grant. In 2012 he was awarded an ERC Starting grant. His current research focuses on theoretical and computational physics of the recently discovered Dirac fermion materials with strong emphasis on their prospective technological applications. ResearcherID profile of Oleg Yazyev
Michele CeriottiMichele Ceriotti received his Ph.D. in Physics from ETH Zürich in 2010. He spent three years in Oxford as a Junior Research Fellow at Merton College. Since 2013 he leads the laboratory for Computational Science and Modeling in the Institute of Materials at EPFL. His research revolves around the atomic-scale modelling of materials, based on the sampling of quantum and thermal fluctuations and on the use of machine learning to predict and rationalize structure-property relations. He has been awarded the IBM Research Forschungspreis in 2010, the Volker Heine Young Investigator Award in 2013, an ERC Starting Grant in 2016, and the IUPAP C10 Young Scientist Prize in 2018.
