DescriptionComputational predictions often form the basis for critical decisions in engineering, financial markets, environmental studies, and many other fields. Today, rapid development of computer hardware allows us to make computational predictions of more and more complex phenomena. How reliable are these predictions? Can we trust them?;Uncertainty quantification (UQ) addresses this issue from mathematical and computational perspectives. This plenary event will consist of a series of four lectures from world class scientists presenting the application of UQ in different areas of sciences and engineering. The lectures will introduce a general audience to the world of UQ and will demonstrate its significance in real world applications. The event includes the following presentations:;;"Predicting next week's weather and next century's climate. How certain can we be?" by Tim Palmer (13:45-14:30);;"Uncertainty Quantification in Geophysical Inverse Problems: Opportunities and Challenges" by Omar Ghattas (14:30-15:15);;"Uncertainty Quantification Challenges in Modeling Complex Systems" by Omar Knio (15:30-16:15);;"Reducing Computational Complexity of UQ" by Jan Hesthaven (16:15-17:00)
After receiving his PhD in 1995 from the Technical University of Denmark, Professor Hesthaven joined Brown University where is now Professor of Applied Mathematics, Director of the Center for Computation and Visualization, and Deputy Director of the newly established Institute for Computational and Experimental Research in Mathematics. His research interests are in the development, analysis, and application of high-order accurate methods for the solution of complex physical time-dependent problems. He has received several awards for both his research and his teaching, and has published 2 monographs and about 100 papers.
Omar Knio is Professor of Mechanical Engineering and Materials Science at Duke University. He received his Ph.D. in Mechanical Engineering in 1990 from MIT. He held a postdoctoral associate position at MIT, before joining the Mechanical Engineering Faculty at Johns Hopkins University in 1991. In 2011, he joined the MEMS Department at Duke, where he also serves as Director of the Pratt School of Engineering Initiative on Uncertainty and Risk. O Knio held a visiting professor position at the Ecole Centrale de Lyon in 1993, 1994, 1995, and 2001, and at the Université du Havre in 1997. He was visiting lecturer at the Institut für Technische Mechanik in Aachen, Germany, in 1994, and also held visiting scientist positions at Sandia National Laboratories from 1996-2001, and at the Free University in Berlin in 1999 and 2000. O Knio co-founded Reactive NanoTechnologies Inc., in 2001, and has served as its Senior Vice President from 2001-2008. He is the recipient of an Associated Western Universities Faculty Fellowship Award in 1996, a Friedrich Wilhelm Bessel Award in 2003, and an R&D100; Award in 2005. He currently serves on the Editorial Board of Theoretical and Computational Fluid Dynamics and of ISRN Applied Mathematics. He has co-authored over 90 archival journal papers, two books, and is an inventor on 11 patents. O Knio's research interests include uncertainty quantification, computational fluid mechanics, energetic materials, oceanic and atmospheric flows, physical acoustics, chemically-reacting flow, and asymptotic and stochastic techniques.
Professor Tim Palmer is a Royal Society Research Professor in Climate Physics at Oxford University. His PhD from Oxford was in general relativity theory after which he moved into meteorology and climatology, spending time at the UK Met Office, the University of Washington, and the European Centre for Medium Range Weather Forecasts. Professor Palmer's research spans a number of areas related to the dynamics and predictability of weather and climate. He has won a number of prizes nationally and internationally, including the American Meteorological Society's top award, the Carl Gustav Rossby Medal. Professor Palmer has coordinated two European Union climate prediction projects, chaired the Scientific Steering Group of the World Climate Research Programme's CLIVAR Project and has contributed to all five IPCC WG1 assessment reports, as contributing author, lead author, and review editor.
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