Peter Schmid
Physical Science and Engineering Division
Seminar Information
Numerical simulations of multi-physics and multi-scale fluid systems have reached an impressive level of maturity and precision and have complemented an equally impressive development of high-resolution experimental techniques. In light of these new capabilities, the analysis of complex fluid systems requires a commensurate level of sophistication to detect and extract key mechanisms responsible for the bulk of mass, momentum, and energy transport. In this talk, we will introduce a set of tools that venture beyond the common standards to model intrinsic fluid behavior and that lay the foundation for optimization, control, and a reduced description of essential subprocesses. Both model-based and data-driven techniques will be covered. Transfer operators, enhanced autoencoders, agent-based optimization, and sequential compression schemes will be demonstrated on a range of fluid applications.
Peter Schmid is currently Professor of Mechanical Engineering and Affiliate Professor of Applied Mathematics at the King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. Before joining KAUST, he held positions at the Department of Mathematics of Imperial College London, with the French National Research Agency (CNRS) and the École Polytechnique in France, and at the Department of Applied Mathematics of the University of Washington in Seattle, WA. He received his Ph.D. in Mathematics from M.I.T. and his Engineer’s Degree in Aerospace Engineering from the Technical University of Munich, Germany. He is a Fellow of the American Physical Society, a Gordon & Betty Moore Scholar (2013), and an Overseas Fellow of Churchill College at Cambridge University. His research interests fall within the area of computational fluid dynamics, with emphasis on stability theory, receptivity analysis, flow control, model reduction, and system identification. He is also interested in methods for quantitative flow analysis for numerical and experimental data.