and combustion in jet engines, to estimating the concentration of gases throughout Earths atmosphere. Hes also finding ways to identify the best quantities to measure in order to improve a models prediction. Solving puzzles, in the summer before his junior year of high school, Marzouk took part in a program that placed students in local university labs as summer interns. That experience helped steer Marzouk toward more computational research. Examples are presented for dynamical systems with up to twenty states., keywords Dynamic Programming, Kalman Filtering, Stochastic Optimal Control, Surrogate models, Tensor decompositions, pubstate published, tppubtype phdthesis, optimal decision making under uncertainty is critical for control and optimization of complex systems. He soon found that modeling such physical systems was a daunting task with countless unknowns. Our framework tightly integrates two emerging areas: tensor decompositions and continuous computation.
UQGroup Teaching - Youssef Marzouk - MIT
In high school, he regularly participated in science fairs, and he entered and sometimes won piano competitions. As his academic pursuits grew, so did his passion for music.
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I think this is still true of the students I see today. Preprint Bigoni,., Engsig-Karup,. Doi:.1115/esda Uncertainty quantification on free surface water wave simulation Study of free surface water waves subject to uncertain wave properties and bathymetry. There were high temperatures, flames, blowing things up what more could you want? Continuous computation is a paradigm for computing with functions instead of arrays, and it is best realized by Chebfun, a matlab package for computing with functions of up to three dimensions. Marzouk, following in his sisters footsteps, took up piano lessons when he was 6 years old. He continued his masters and PhD work at MIT under the guidance of mechanical engineering professor Ahmed Ghoniem, concentrating again in the field of fluid dynamics but this time from a modeling perspective. Quantifying and reducing the uncertainty in complex computational models is the major theme in Marzouks work, which he is applying to a wide range of problems, including tracking underground contaminants, characterizing combustion in jet engines, estimating the concentrations of trace gases in the atmosphere, and. Finally, we use the FT to extend integration-based Gaussian filtering to larger state spaces than previously considered. It may come as no surprise that weather predictions come with a fair amount of uncertainty, as do any predictions of large, complex, and interacting systems. He liked the work so much that he continued participating in the lab for the next two and a half years.
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