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DTSTAMP:20251213T225738Z
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DTSTART;TZID=Europe/Berlin:20250412T200000
DTEND;TZID=Europe/Berlin:20250412T223000
DESCRIPTION:As part of IEEE Education Week\, the IEEE AESS Tunisia Chapter 
 proudly hosted a technical session on:\n\n“Introduction to AI in Aerospa
 ce: Edge Computer Vision Techniques and Overcoming MLOps Challenges in Spa
 ce”\nSaturday\, April 12th\, 2025 | 8:00 PM (GMT+1) | Microsoft Teams\n\
 nWe had the pleasure of welcoming Kayoum Djedidi\, a passionate researcher
  and IEEE leader\, who shared his expertise in the convergence of AI and a
 erospace systems. Kayoum\, currently a PhD candidate at INRS Montreal and 
 co-founder of OORB\, captivated the audience with real-world insights on:\
 n\n-\nEdge AI for space-based computer vision\n\n-\nThe complexity of depl
 oying machine learning in orbit\n\n-\nMLOps strategies adapted to extreme 
 environments\n\nThe session attracted 32 Engaged participants\, including 
 students\, young professionals\, and AI enthusiasts\, all eager to explore
  the possibilities of intelligent aerospace technologies.\n\nKayoum&#39;s dyna
 mic presentation and approachable explanations made complex topics accessi
 ble and sparked valuable questions and discussions. His journey as an IEEE
  volunteer also inspired attendees to get involved and make an impact in t
 heir own fields.\n\nIt was a successful evening of learning\, inspiration\
 , and community\, reinforcing our belief in the power of knowledge sharing
  to shape the future of aerospace innovation.\n\nVirtual: https://events.v
 tools.ieee.org/m/489874
LOCATION:Virtual: https://events.vtools.ieee.org/m/489874
ORGANIZER:aess@ieee.tn
SEQUENCE:34
SUMMARY:Education Week - Introduction to AI in Aerospace 
URL;VALUE=URI:https://events.vtools.ieee.org/m/489874
X-ALT-DESC:Description: &lt;br /&gt;&lt;p data-start=&quot;136&quot; data-end=&quot;244&quot;&gt;As part of
  &lt;strong data-start=&quot;147&quot; data-end=&quot;170&quot;&gt;IEEE Education Week&lt;/strong&gt;\, th
 e &lt;strong data-start=&quot;176&quot; data-end=&quot;205&quot;&gt;IEEE AESS Tunisia Chapter&lt;/stron
 g&gt; proudly hosted a technical session on:&lt;/p&gt;\n&lt;p data-start=&quot;136&quot; data-en
 d=&quot;244&quot;&gt;&lt;strong data-start=&quot;250&quot; data-end=&quot;361&quot;&gt;&amp;ldquo\;Introduction to AI
  in Aerospace: Edge Computer Vision Techniques and Overcoming MLOps Challe
 nges in Space&amp;rdquo\;&lt;/strong&gt;&lt;br data-start=&quot;361&quot; data-end=&quot;364&quot;&gt;&lt;em data
 -start=&quot;367&quot; data-end=&quot;395&quot;&gt;Saturday\, April 12th\, 2025&lt;/em&gt; |&amp;nbsp\;&lt;em 
 data-start=&quot;401&quot; data-end=&quot;418&quot;&gt;8:00 PM (GMT+1)&lt;/em&gt; |&amp;nbsp\; &lt;em data-sta
 rt=&quot;424&quot; data-end=&quot;441&quot;&gt;Microsoft Teams&lt;/em&gt;&lt;/p&gt;\n&lt;p data-start=&quot;443&quot; data
 -end=&quot;741&quot;&gt;We had the pleasure of welcoming &lt;strong data-start=&quot;476&quot; data-
 end=&quot;494&quot;&gt;Kayoum Djedidi&lt;/strong&gt;\, a passionate researcher and IEEE leade
 r\, who shared his expertise in the convergence of &lt;strong data-start=&quot;584
 &quot; data-end=&quot;612&quot;&gt;AI and aerospace systems&lt;/strong&gt;. Kayoum\, currently a P
 hD candidate at INRS Montreal and co-founder of OORB\, captivated the audi
 ence with real-world insights on:&lt;/p&gt;\n&lt;ul data-start=&quot;743&quot; data-end=&quot;895&quot;
 &gt;\n&lt;li data-start=&quot;743&quot; data-end=&quot;786&quot;&gt;\n&lt;p data-start=&quot;745&quot; data-end=&quot;786
 &quot;&gt;Edge AI for space-based computer vision&lt;/p&gt;\n&lt;/li&gt;\n&lt;li data-start=&quot;787&quot;
  data-end=&quot;844&quot;&gt;\n&lt;p data-start=&quot;789&quot; data-end=&quot;844&quot;&gt;The complexity of dep
 loying machine learning in orbit&lt;/p&gt;\n&lt;/li&gt;\n&lt;li data-start=&quot;845&quot; data-end
 =&quot;895&quot;&gt;\n&lt;p data-start=&quot;847&quot; data-end=&quot;895&quot;&gt;MLOps strategies adapted to ex
 treme environments&lt;/p&gt;\n&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p data-start=&quot;897&quot; data-end=&quot;1086&quot;&gt;
 The session attracted 32&lt;strong&gt; E&lt;/strong&gt;&lt;strong data-start=&quot;919&quot; data-e
 nd=&quot;946&quot;&gt;ngaged participants&lt;/strong&gt;\, including students\, young profess
 ionals\, and AI enthusiasts\, all eager to explore the possibilities of in
 telligent aerospace technologies.&lt;/p&gt;\n&lt;p data-start=&quot;1088&quot; data-end=&quot;1339
 &quot;&gt;Kayoum&#39;s dynamic presentation and approachable explanations made complex
  topics accessible and sparked valuable questions and discussions. His jou
 rney as an IEEE volunteer also inspired attendees to get involved and make
  an impact in their own fields.&lt;/p&gt;\n&lt;p data-start=&quot;1088&quot; data-end=&quot;1339&quot;&gt;
 &amp;nbsp\;It was a successful evening of learning\, inspiration\, and communi
 ty\,&amp;nbsp\; reinforcing our belief in the power of knowledge sharing to sh
 ape the future of aerospace innovation.&lt;/p&gt;\n&lt;p data-start=&quot;1088&quot; data-end
 =&quot;1339&quot;&gt;&lt;img src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/f
 95480c0-e877-45ba-8a51-99795ae9381d&quot; width=&quot;565&quot; height=&quot;706&quot;&gt;&lt;/p&gt;
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