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SUMMARY:Inaugural Lecture - Prof. Devis Tuia
DTSTART:20230214T171500
DTEND:20230214T184500
DTSTAMP:20260406T201113Z
UID:c2e2a3dd78d0bdacba729d589525019a0d7270af747e219a10031258
CATEGORIES:Inaugural lectures - Honorary Lecture
DESCRIPTION:Prof. Devis Tuia\nDate: 14 February 2023\nTime: 17:15 - 18:45
 \nIntroductions by the Dean\, lectures by Prof. Jérôme Chappellaz and Pr
 of. Devis Tuia. Followed by an Apero.\nPlace: CO 1\nZoom link\n\nTitle:\n"
 Environmental computational science and Earth observation to monitor the h
 eartbeat of our planet"\n\nAbstract\nAvailability of data about Earth has 
 never been better: satellites\, drones and social media give us the means 
 to perform environmental monitoring efficiently. However\, the data is het
 erogeneous\, often unstructured\, and the technology to extract the releva
 nt information remains complex\, therefore gatekeeping its benefits from n
 on specialists. If advances in machine learning now allow us to design inf
 ormation mining strategies that combine data source\, highlights trends an
 d detects anomalies\, new technologies to facilitate access to the extract
 ed information are urgently needed. \nIn this talk\, I will navigate thro
 ugh the ECEO vision\, combining AI technology for multimodal data analysis
  with strategies rooted in natural language processing to make it accessib
 le to anyone. Through examples in alpine studies\, land cover dynamics and
  coral reefs monitoring\, I will showcase how computational science can ma
 ke a difference to protect our blue planet.\n\nAbout the speaker\nDevis Tu
 ia comes from Ticino and studied in Lausanne\, between UNIL and EPFL. Afte
 r his PhD at UNIL in remote sensing\, he was postdoc in Valencia (Spain)\,
  Boulder (CO) and EPFL\, working on model adaptation and prior knowledge i
 ntegration in machine learning. In 2014 he became Research Assistant Profe
 ssor at University of Zurich\, then Associate and Full professor at Wageni
 ngen University in the Netherlands. Since 2020 he leads the ECEO laborator
 y of EPFL (in Sion)\, where he studies Earth from above with machine learn
 ing\, computer vision and remote sensing.\n\n 
LOCATION:CO1 https://plan.epfl.ch//?room==CO%201 https://epfl.zoom.us/j/68
 600416471
STATUS:CONFIRMED
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