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DTSTART;TZID=Europe/Brussels:20230630T130000
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DTSTAMP:20260502T035041
CREATED:20230602T080740Z
LAST-MODIFIED:20230602T080740Z
UID:2011-1688130000-1688133600@www.naxys.be
SUMMARY:Enoch Yeung (UC Santa Barbara (UCSB)\, USA)
DESCRIPTION:Title: Data-Driven State Criticality and Observability with Koopman\nOperator Methods \nAbstract: I will present two major results to show the use of data-\ndriven Koopman methods to identify critical states and observable\nsubspaces to solve problems in synthetic biology. In the first\, I\npresent the use of dynamic mode decomposition (DMD) to model the\ntranscriptome-wide response of a root-isolate bacterium to a novel\nchemical compound. By solving an observability maximization problem\nfor the DMD model\, we find a panel of biomarkers that can act as\neffective biosensors for the compound\, even in field studies with the\nbacterium. This study establishes a new precedent for reasoning about\nstate criticality and system observability\, even without prior\nknowledge of a network model. Second\, I present new theoretical\nresults that show how Koopman methods can be used to evaluate\ncriticality of states to optimize performance of a nonlinear system.\nHistorically\, this problem is solved using either direct sensitivity\nanalysis on a known model or by generating local function\ndistributions that span the nonlinear observable subspace of a system.\nIn the absence of a known model\, I present a new Koopman-based method\nfor estimating the observable subspace of a nonlinear system purely\nfrom data. Our results provide a route for data-driven discovery of\ncritical states that affect an output-based performance measure. \nThe seminar will take place in Room S08 at the Faculty of Sciences.
URL:https://www.naxys.be/event/enoch-yeung-uc-santa-barbara-ucsb-usa/
CATEGORIES:NAXYS Seminar
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