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UID:e160407f-4cdd-4122-bcc4-24666b49b154
DTSTAMP:20261028T114034Z
SUMMARY:AI meets Nano - Automating electron microscopy for nanomaterials ch
 aracterization -
DESCRIPTION:<p><strong>PhD: Ivan Pinto Huguet</strong></p>\n<p><strong>Dire
 ctors</strong>:</p>\n<p>ICREA Prof. Jordi Arbiol\,&nbsp\;Group Leader of t
 he <a href="/en/advanced-electron-nanoscopy-group/jordi-arbiol">Advanced E
 lectron Nanoscopy</a>&nbsp\;group at <em>Institut Català de Nanociència 
 i Nanotecnologia</em> (ICN2)</p>\n<p>Dr Marc Botifoll\,&nbsp\;Marie Curie 
 Posdoctoral researcher at Ernst Ruska Centre\, Forschungszentrum Jülich</
 p>\n<p><strong>Short Abstract:</strong></p>\n<p>Nanomaterials play a centr
 al role in emerging technologies\, yet their increasing structural complex
 ity and the large volumes of data generated by modern electron microscopy 
 pose major challenges for conventional characterization workflows. This th
 esis develops artificial intelligence and computer vision methodologies to
  automate and enhance nanomaterials characterization through electron micr
 oscopy. A collection of AI-assisted methodologies is developed to address 
 different characterization challenges\, including image segmentation\, den
 oising\, feature detection\, classification\, and quantitative analysis ac
 ross multiple microscopy modalities. These methodologies are validated acr
 oss a wide range of applications\, including quantum materials\, nanoparti
 cles\, glasses\, dual-atom catalysts\, and two-dimensional materials\, dem
 onstrating their robustness under challenging imaging conditions. Beyond i
 ndividual algorithms\, this work integrates these developments into comple
 te AI-assisted characterization workflows that enable automated\, reproduc
 ible\, and high-throughput analysis of complex microscopy datasets.&nbsp\;
 </p>\n<p>REGISTER <a href="https://forms.cloud.microsoft/Pages/ResponsePag
 e.aspx?id=7y7ItE2bfUi-qg79NXo6WxH4jECG9S9KmyGb2KoqlQpUMUozUU85RzlVWTFaQTdN
 V0NHUUVHUFpORCQlQCN0PWcu">HERE</a></p>\n<p>Join the event online <a href="
 https://teams.microsoft.com/meet/3590418509381771?p=NYxT8Tb2A3dw1Uubtj">HE
 RE</a></p>
DTSTART:20261023T080000
DTEND:20261023T215959
LOCATION:ICN2 Seminar Room and Online
CATEGORIES:ICN2 Theses Defence
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