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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Automated post-earthquake damage assessment of stone masonry build
 ings integrating machine learning\, computer vision\, and physics-based mo
 deling
DTSTART:20230317T171500
DTSTAMP:20260429T081705Z
UID:22060d316978d1aa3936f8aee2a1e8957ae3458271c00b9284709213
CATEGORIES:Thesis defenses
DESCRIPTION:Bryan German PANTOJA ROSERO\nThesis Directors: Prof. K. Beyer\
 , Dr R. Achanta\nCivil and Environmental Engineering doctoral program\nThe
 sis Nr. 10674\n\nTo take part in the public defense\, please contact dire
 ctly the speaker
LOCATION:GC B1 10 https://plan.epfl.ch/?room==GC%20B1%2010
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR