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<oembed><version>1.0</version><provider_name>INL</provider_name><provider_url>https://inl.int</provider_url><title>Fatemeh Latifi - INL</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="i7DR6EW1cB"&gt;&lt;a href="https://inl.int/community/fatemeh-latifi/"&gt;Fatemeh Latifi&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://inl.int/community/fatemeh-latifi/embed/#?secret=i7DR6EW1cB" width="600" height="338" title="&#x201C;Fatemeh Latifi&#x201D; &#x2014; INL" data-secret="i7DR6EW1cB" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>Fatemeh Latifi joined the Atomic Structure-Composition of Materials group at the International Iberian Nanotechnology Laboratory in November 2024 to advance her work in Machine Learning and Data Analysis for Electron Microscopy and EELS (Electron Energy Loss Spectroscopy) data. Her current research focuses on investigating the Elemental Composition of materials and analyzing EELS data using Machine Learning techniques. Fatemeh Latifi holds a Master&rsquo;s degree in Computer Engineering from Azad University, Science and Research Branch, Tehran, Iran, and a Bachelor&rsquo;s degree in Computer Engineering from Shahid Beheshti University, Tehran. Before joining INL, she gained experience in programming and applying Machine Learning to Electroencephalogram (EEG) brain data. Go to Research Group</description><thumbnail_url>https://hub.inl.int/photos/650.jpg</thumbnail_url></oembed>
