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DTSTAMP:20260605T061510Z
SUMMARY:Geotechnics Seminar: ​Distributional Inversion for Engineering Ap
 plications
DESCRIPTION:Seminar abstract:\n\nMany engineering settings involve large co
 llections of physical assets where all assets are highly related to one an
 other\, yet also have certain key individual variations affecting their re
 sponse to their environment and use. This presentation is concerned with d
 eveloping data processing methodologies whereby one can efficiently levera
 ge large amounts of response data from collections of physical systems to 
 infer properties of the population of assets as a whole. We call this “d
 istributional inversion.” We will look at examples of this methodology i
 n problems of subsurface groundwater flow\, structural dynamics\, aerodyna
 mics of wind turbine blades\, and material mechanics. Furthermore\, we sho
 w how we can accelerate the learning task by concurrently learning surroga
 te models which can efficiently approximate expensive numerical simulation
 s.\n\nSpeaker bio:\n\n​Arnaud Vadeboncoeur will be joining Imperial Coll
 ege London in October 2026 as a Research Fellow (IRF) between the Departme
 nt of Mathematics and Imperial’s I-X Center for AI in Science. He is cur
 rently a postdoc in the Department of Engineering at the University of Cam
 bridge in the Computational Statistics and Machine Learning lab\, working 
 with Prof. Mark Girolami. Prior to this\, he completed his PhD in Engineer
 ing at Cambridge with Prof. Fehmi Cirak and earned his undergraduate degre
 e in Civil Engineering at the University of Ottawa.
URL:https://www.imperial.ac.uk/events/210453/geotechnics-seminar-distributi
 onal-inversion-for-engineering-applications/
DTSTART;TZID=Europe/London:20260701T140000
DTEND;TZID=Europe/London:20260701T150000
LOCATION:SKEM 201\, Skempton Building\, South Kensington Campus\, Imperial 
 College London\, London\, SW7 2AZ\, United Kingdom
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