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X-WR-CALDESC:FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics -Alexander von Humboldt Professorship
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DTSTART;TZID=Europe/Berlin:20210514T110000
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DTSTAMP:20211020T083619Z
CREATED:20211020
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SUMMARY:Borjan Geshkovski -PhD Thesis defense: “Control in Moving Interfaces and Deep Learning”
DESCRIPTION:Our contributor Borjan Geshkovski, PhD student from UAM – Universidad Autónoma de Madrid at DeustoCMM under Marie Skłodowska-Curie fellowship at Conflex projectwill defend his PhD thesis “Control in Moving Interfaces and Deep Learning“:\nBy Borjan Geshkovski – UAM | DeustoCCM\nAdvisor: Prof. Dr. Enrique Zuazua – FAU Erlangen-Nürnberg | DeustoCCM | UAM\nPANEL\n\nProf. Antonio Cuevas – Universidad Autónoma de Madrid\nAssoc. Prof. María del Mar González – Universidad Autónoma de Madrid\nProf. Marius Tucsnak – Université de Bordeaux\nProf. Martin Lazar – University of Dubrovnik\nProf. Günter Leugering – FAU Erlangen-Nürnberg\n\n \nWHEN?\nFriday, May 14th, 2021 | 11:00H (Spanish Time / UTC + 2)\nBorjan is a PhD student from UAM – Universidad Autónoma de Madrid under Marie Skłodowska-Curie fellowship at Conflex project  and joined the Chair of Computational Mathematics at Deusto Foundation – University of Deusto to develop his PhD thesis research focused on deep learning from a mathematical control perspective.\nSee Borjan’s profile\n \n
URL:https://dcn.nat.fau.eu/events/borjan-geshkovski-phd-thesis-defense-control-in-moving-interfaces-and-deep-learning/
CATEGORIES:Seminar/Talk
LOCATION:Worldwide
ATTACH;FMTTYPE=image/png:https://dcn.nat.fau.eu/wp-content/uploads/borjanGeshkovski-PhDdefense-14may2021.png
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