Concept
Associative algebra
Related people (18)
Eva Bayer Fluckiger
Etudes a l'Université de Genève. Apres son diplôme de mathématicien obtenu en 1975, elle prépare sa thèse de doctorat sous la direction du professeur Michel Kervaire, thèse soutenue en 1978. Après plusieurs séjours postdoctoraux en Allemagne, France et les Etats-Unis, elle entre au CNRS en 1987. En 2001, elle est nommée professeure ordinaire a l'EPFL.
Eva Bayer Fluckiger a eu une bourse de la Fondation Alexander von Humboldt en 1980, elle a reçu le prix Vacheron Constantin en 1983, le prix Maria Sybilla Merian en 2001. Elle a effectué des séjours de recherche à l'Institute for Advanced Study,Princeton, au Max-Planck Institute für Mathematik, à Bonn, ainsi qu'au Mathematical Sciences Research Institute, à Berkeley. Elle a été membre du comité exécutif de la Société Mathématique Européenne, fait partie de plusieurs comités de l'Union Européenne et de la Fondation Européenne pour la Science, ainsi que membre de comités scientifiques d'instituts de recherche, de comités d'évaluation, etc. Elle a aussi été membre (et parfois présidente) de plusieurs comités scientifiques de congrès internationaux.
Eva Bayer Fluckiger est éditrice de cinq revues internationales de mathématiques. Ses domaines de recherche sont la théorie algébrique des nombres, la cohomologie galoisienne des groupes algébriques, les formes quadratiques, hermitiennes, et algèbres à involution, la théorie des noeuds, ainsi que l'application de l'algèbre et de la théorie des nombres aux codes algébriques.
Kathryn Hess Bellwald
Kathryn Hess Bellwald received her PhD from MIT in 1989 and held positions at the universities of Stockholm, Nice, and Toronto before moving to the EPFL.Her research focuses on algebraic topology and its applications, primarily in the life sciences, but also in materials science. She has published extensively on topics in pure algebraic topology including homotopy theory, operad theory, and algebraic K-theory. On the applied side, she has elaborated methods based on topological data analysis for high-throughput screening of nanoporous crystalline materials, classification and synthesis of neuron morphologies, and classification of neuronal network dynamics. She has also developed and applied innovative topological approaches to network theory, leading to a powerful, parameter-free mathematical framework relating the activity of a neural network to its underlying structure, both locally and globally.In 2016 she was elected to Swiss Academy of Engineering Sciences and was named a fellow of the American Mathematical Society and a distinguished speaker of the European Mathematical Society in 2017. In 2021 she gave an invited Public Lecture at the European Congress of Mathematicians. She has won several teaching prizes at EPFL, including the Crédit Suisse teaching prize and the Polysphère d’Or.
Viktor Kuncak
Viktor Kunčak joined EPFL in 2007, after receiving a PhD degree from MIT. Since then has been leading the Laboratory for Automated Reasoning and Analysis and supervised at least 12 completed PhD theses. His works on languages, algorithms and systems for verification and automated reasoning. He served as an initiator and one of the coordinators of a European network (COST action) in the area of automated reasoning, verification, and synthesis. In 2012 he received a 5-year single-investigator European Research Council (ERC) grant of 1.5M EUR. His invited talks include those at Lambda Days, Scala Days, NFM, LOPSTR, SYNT, ICALP, CSL, RV, VMCAI, and SMT. A paper on test generation he co-authored received an ACM SIGSOFT distinguished paper award at ICSE. A PLDI paper he co-authored was published in the Communications of the ACM as a Research Highlight article. His Google Scholar profile reports an over-approximate H-index of 38. He was an associate editor of ACM Transactions on Programming Languages and Systems (TOPLAS) and served as a co-chair of conferences on Computer-Aided Verification (CAV), Formal Methods in Computer Aided Design (FMCAD), Workshop on Synthesis (SYNT), and Verification, Model Checking, and Abstract Interpretation (VMCAI). At EPFL he teaches courses on functional and parallel programming, compilers, and verification. He has co-taught the MOOC "Parallel Programming" that was visited by over 100'000 learners and completed by thousands of students from all over the world.
Michael Christoph Gastpar
Michael Gastpar is a (full) Professor at EPFL. From 2003 to 2011, he was a professor at the University of California at Berkeley, earning his tenure in 2008.
He received his Dipl. El.-Ing. degree from ETH Zürich, Switzerland, in 1997 and his MS degree from the University of Illinois at Urbana-Champaign, IL, USA, in 1999. He defended his doctoral thesis at EPFL on Santa Claus day, 2002. He was also a (full) Professor at Delft University of Technology, The Netherlands.
His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience.
He is a Fellow of the IEEE. He is the co-recipient of the 2013 Communications Society & Information Theory Society Joint Paper Award. He was an Information Theory Society Distinguished Lecturer (2009-2011). He won an ERC Starting Grant in 2010, an Okawa Foundation Research Grant in 2008, an NSF CAREER award in 2004, and the 2002 EPFL Best Thesis Award. He has served as an Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory (2008-11), and as Technical Program Committee Co-Chair for the 2010 International Symposium on Information Theory, Austin, TX.
Tudor Ratiu
Citoyen des Etats-Unis, Tudor Ratiu est né en 1950 à Timisoara, Roumanie. Il a obtenu un diplôme en mathématiques en 1973 ainsi qu'un diplôme de maîtrise en mathématiques appliquées en 1974 à l'Université de Timisoara. Pour des raisons politiques il lui est interdit de poursuivre ses études et en 1975 il est obligé de quitter son pays. En 1980 il obtient un doctorat à l'Université de Californie à Berkeley avec une thèse en mécanique géométrique et est nommé professeur assistant de recherche T.H. Hildebrandt à l'Université de Michigan, Ann Arbor.
En 1983 il rejoint l'Université d'Arizona, Tucson, comme professeur associé et en 1987 l'Université de Californie, Santa Cruz, ou il est nommé professeur ordinaire en 1988. Il lui a été décerné une bourse postdoctorale du Fonds national scientifique américain, une bourse de la fondation A.P. Sloan, la chaire de recherche professoriale Miller à Berkeley, une bourse Fulbright et le prix allemand A. von Humboldt. Il a été professeur et chercheur invité dans plusieurs départements et instituts de recherche mathématiques du monde.
Les thèmes principaux de sa recherche sont l'analyse globale, la mécanique des fluides et du plasma, la dynamique hamiltonienne, la mécanique géométrique, la géométrie symplectique et de Poisson, la théorie de bifurcations et l'étude des systèmes complètement intégrables. Ses travaux concernent l'aspect mathématique de ces problèmes ainsi que leurs applications en physique et les sciences d'ingénieur. Il est auteur, en collaboration, de plusieurs livres de spécialité.
En 1997 il est nommé professeur ordinaire en analyse au Département de mathématiques et entre en fonction en juillet 1998.
Ali H. Sayed
Ali 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.
Damir Filipovic
Damir Filipovic holds the Swissquote Chair in Quantitative Finance and is Swiss Finance Institute Professor at the Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland. Prior to this, he was head of the Vienna Institute of Finance and professor at the University of Vienna. He previously held the chair of financial and insurance mathematics at the University of Munich, and he was on the faculty of Princeton University. He received his Ph.D. in mathematics from ETH Zurich in 2000. Damir Filipovic worked as a scientific consultant for the Swiss Federal Office of Private Insurance from 2003 to 2004. There he co-developed the Swiss Solvency Test, which defines the regulatory capital requirement for all Swiss based insurance companies and groups. He is on the editorial board of several academic journals. His research interests include the term structure of interest rates, credit and volatility risk, quantitative methods in risk management, and stochastic processes. His papers have been published in a variety of academic journals including the Journal of Financial Economics, Mathematical Finance, Finance and Stochastics, and the Annals of Applied Probability. He is the author of a textbook titled Term-Structure Models.