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SUMMARY:ENAC Seminar Series by Dr Z. Lai
DTSTART:20190924T160000
DTEND:20190924T170000
DTSTAMP:20260917T091912Z
UID:433426688609977ef7ef7074482509172ff305587cf56f69f8a03561
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Zhilu Lai\n16:00 – 17:00 – Dr Zhilu Lai\nPostdoctoral R
 esearcher\, ETH Zürich\, Switzerland\n\nData-driven Structural Monitoring
  and Novel Sensing Techniques for Digital Infrastructure\n\nThe vastly inc
 reasing availability of data types and quantities\, emerging sensing techn
 ologies and artificial intelligence\, are enabling a digitally-enabled vie
 w of infrastructure. For treating structures as digital systems efficient 
 methods and tools for data-driven structural identification\, monitoring\,
  and automated infrastructure management are of the essence. The use of in
 terconnected sensors and data mining techniques form pivotal blocks for ef
 fectuating the establishment of smart buildings and smart cities.  In thi
 s talk\, Dr Lai will discuss how to use advanced sensing techniques\, stat
 e-of-art data analytics\, and statistical learning to convert multi-type s
 ensor data into explainable information\, in the form of interpretable and
  generalizable models\, in service of infrastructure maintenance\, integri
 ty assessment\, and decision making. The talk will cover: (1) a newly prop
 osed parametric modeling technique based on sparse regularization\, termed
  sparse structural system identification\; (2) full-field structural monit
 oring using bio-inspired sensors and event cameras\; (3) video-guided hybr
 id monitoring of infrastructure. Laboratory experiments and real-world cas
 e studies are provided for demonstrating the proposed frameworks.
LOCATION:ELD 020 https://plan.epfl.ch/?room==ELD%20020
STATUS:CONFIRMED
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