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DTSTAMP:20260519T221800Z
DESCRIPTION:Join EPS virtually for a seminar. \n\nSeismic imaging of ocean 
 plate structure provides fundamental constraints on plate formation\, evol
 ution\, and composition\, and is necessary for understanding the role that
  temperature\, hydration\, or melts plays in controlling the strength and 
 buoyancy of 70% of Earth’s tectonic plates. While it is easy to decipher v
 ibrations on land and use the data to build maps of the seismic structure 
 of continental plates\, on the seafloor\, it is harder to detect and isola
 te vibrations generated from short-period earthquake waves that convert wi
 thin or underneath the oceanic plate. This is because these signals are of
 ten buried within the loud singing of sediments. In this talk\, I describe
  a technique for silencing the singing of sediments and how machine learni
 ng (ML) assists in the rapid separation of the noisy\, yet predictable rin
 ging from ocean plate conversions. ML can also facilitate the rapid extrac
 tion of waves buried within continuous ground vibration i.e.\, ambient noi
 se using probabilistic inverse theory which produces auto-adaptive maps. S
 harper images of ocean plate structure will advance our understanding of p
 late tectonic theory.\n	\n	Dr. Tolulope Olugboji is an Assistant Professor a
 t the University of Rochester (UofR). Olugboji is a Furth award recipient 
 (given to promising early-career scientists at the UofR) and a NEF fellow 
 -a select program that recognizes Africa’s best young scientists and techn
 ologists. At UR he leads the computational seismology and geophysics group
  and teaches courses in nature’s fury\, earth science data analysis\, and 
 seismology (@URSeismo). He is actively engaged in outreach and service to 
 the geophysics research community. He teaches a yearly introductory seismo
 logy course for the IRIS-NSF sponsored summer research internships for und
 ergraduates and has been nominated as a 2021 CIG distinguished speaker. Hi
 s group uses recordings of ground vibrations from seismic sensors across t
 he globe\, combined with high-performance computing\, to build high resolu
 tion images of Earth’s interior.\n	\n	Tolulope Olugboji (TOE-LOO OH-LOO-BOW-
 JI)\n	Office: Hutchison 224B (329) RC Box 270221 Rochester\, NY 14627-0221
 \n	+1 (585) 276-6609\n	www.ees.rochester.edu/urseismo\n	twitter @UofRSeismo\n
 \nJoin the ZOOM https://mcgill.zoom.us/j/87575996613?pwd=c1VvVVI0Y1ZxQ2Y0T
 ml3MlZWeUtDQT09 Meeting ID: 875 7599 6613 Passcode: 215159\n
DTSTART:20211022T150000Z
DTEND:20211022T160000Z
LOCATION:https://mcgill.zoom.us/j/87575996613?pwd=c1VvVVI0Y1ZxQ2Y0Tml3MlZWe
 UtDQT09
SUMMARY:Virtual Seminar-The Structure of Oceanic Plates using Machine Learn
 ing on Seafloor Vibrations
URL:https://www.mcgill.ca/eps/channels/event/virtual-seminar-structure-ocea
 nic-plates-using-machine-learning-seafloor-vibrations-334065
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