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DESCRIPTION:[]\n\nZoom Link: https://ulaval.zoom.us/j/69550214937?pwd=iH5u8
 TmnfzeZUxEc4LMpU1IupTAwvh.1\n\nTime: 12 December 2025\, 11.00 AM EST to 12
 .00 PM EST\n\nTalk Abstract:\n\nThe reliable operation of smart grids incr
 easingly relies on wireless communication links deployed within high-volta
 ge substations and distribution infrastructures. However\, these environme
 nts are dominated by severe electromagnetic interference (EMI)\, producing
  bursty\, high-amplitude impulsive noise with strong temporal correlation.
  Conventional transceiver design based on simple clipping/blanking\, or me
 moryless soft decoding fails to ensure reliable connectivity under realist
 ic EMI\, resulting in critical degradation of QoS. This talk presents prom
 ising EMI-aware transceiver architectures that bridge theoretical modeling
  and practical resilience. We first revisit EMI characterization in smart 
 grids\, highlighting the impulsive\, bursty\, and dynamic nature of EMI. W
 e then explore transceiver design strategies ranging from enhanced LLR-bas
 ed detection to AI-driven architectures. Finally\, we present fully AI-nat
 ive deep semantic transceivers that jointly optimize encoding\, decoding\,
  and noise mitigation\, demonstrating robust communication in presence of 
 strong EMI.\n\nSpeaker Biography:\n\nGeorges Kaddoum is a professor and th
 e research director of the Resilient Machine Learning Institute (ReMI) at 
 École de Technologie Supérieure (ÉTS)\, Université du Québec\, Montr
 éal\, Canada. He also holds an industrial research chair and a Tier 2 Can
 ada Research Chair. He earned his Ph.D. in Signal Processing and Telecommu
 nications with High Honors from the National Institute of Applied Sciences
  (INSA)\, University of Toulouse\, France\, in 2009. His research focuses 
 on wireless communication networks\, tactical communications\, resource al
 location\, and network security. Prof. Kaddoum is a member of the Royal So
 ciety of Canada and has received multiple prestigious recognitions. He has
  served as an associate editor for IEEE Transactions on Information Forens
 ics and Security and IEEE Communications Letters. Currently\, he is an are
 a editor for IEEE Transactions on Machine Learning in Communications and N
 etworking and an editor for IEEE Transactions on Communications.\n\nMeetin
 g Link: https://ulaval.zoom.us/j/69550214937?pwd=iH5u8TmnfzeZUxEc4LMpU1Iup
 TAwvh.1\, Quebec City\, Quebec\, Canada
LOCATION:Meeting Link: https://ulaval.zoom.us/j/69550214937?pwd=iH5u8Tmnfze
 ZUxEc4LMpU1IupTAwvh.1\, Quebec City\, Quebec\, Canada
ORGANIZER:md-zoheb.hassan@gel.ulaval.ca
SEQUENCE:102
SUMMARY:IEEE Québec Section Webinar: Resilient Transceiver Architectures f
 or EMI-Challenged Smart Grid Communications
URL;VALUE=URI:https://events.vtools.ieee.org/m/519390
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;img style=&quot;display: block\; margin-left: 
 auto\; margin-right: auto\;&quot; src=&quot;https://events.vtools.ieee.org/vtools_ui
 /media/display/84a34165-96c6-491c-a44e-40b5f8ecffe2&quot; alt=&quot;&quot; width=&quot;200 cm&quot;
  height=&quot;200cm&quot;&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;&lt;span lang=&quot;EN-CA&quot;&gt;Zoom Link: &amp;nbsp\;&lt;a h
 ref=&quot;https://ulaval.zoom.us/j/69550214937?pwd=iH5u8TmnfzeZUxEc4LMpU1IupTAw
 vh.1&quot;&gt;https://ulaval.zoom.us/j/69550214937?pwd=iH5u8TmnfzeZUxEc4LMpU1IupTA
 wvh.1&lt;/a&gt;&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;&lt;span lang=&quot;EN-CA&quot;&gt;Time:&lt;span st
 yle=&quot;color: rgb(35\, 111\, 161)\;&quot;&gt; &lt;span style=&quot;color: rgb(0\, 0\, 0)\;&quot;&gt;
 12 December 2025\, 11.00 AM EST to 12.00 PM EST&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/stro
 ng&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;&lt;span lang=&quot;EN-CA&quot;&gt;Talk Abstract:&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;\
 n&lt;p style=&quot;text-align: justify\;&quot;&gt;&lt;span lang=&quot;EN-CA&quot;&gt;The reliable operatio
 n of smart grids increasingly relies on wireless communication links&amp;nbsp\
 ;&lt;/span&gt;&lt;span lang=&quot;EN-CA&quot;&gt;deployed within high-voltage substations and di
 stribution infrastructures. However\, these environments are dominated by 
 severe electromagnetic interference (EMI)\, producing bursty\, high-amplit
 ude impulsive noise with strong temporal correlation. Conventional transce
 iver design based on simple clipping/blanking\, or memoryless soft decod&lt;/
 span&gt;&lt;span lang=&quot;EN-CA&quot;&gt;ing fails to ensure reliable connectivity under re
 alistic EMI\, resulting in critical degradation of QoS. This talk presents
  promising EMI-aware transceiver architectures that bridge theoretical mod
 eling and practical resilience. We first revisit EMI characterization in s
 mart grids\, highlighting the impulsive\, bursty\, and dynamic nature of E
 MI. We then explore transceiver design strategies ranging from enhanced LL
 R-based detection to AI-driven architectures. Finally\, we present fully A
 I-native deep semantic transceivers that jointly optimize encoding\, decod
 ing\, and noise mitigation\, demonstrating robust communication in presenc
 e of strong EMI.&lt;/span&gt;&lt;/p&gt;\n&lt;p style=&quot;text-align: justify\;&quot;&gt;&lt;strong&gt;Spea
 ker Biography:&lt;/strong&gt;&lt;/p&gt;\n&lt;p style=&quot;text-align: justify\;&quot;&gt;&lt;strong&gt;Geor
 ges Kaddoum&lt;/strong&gt; is a professor and the research director of the Resil
 ient Machine Learning Institute (ReMI) at &amp;Eacute\;cole de Technologie Sup
 &amp;eacute\;rieure (&amp;Eacute\;TS)\, Universit&amp;eacute\; du Qu&amp;eacute\;bec\, Mon
 tr&amp;eacute\;al\, Canada. &lt;span lang=&quot;EN-CA&quot; style=&quot;mso-ansi-language: EN-CA
 \;&quot;&gt;He also holds an industrial research chair and a Tier 2 Canada Researc
 h Chair. &lt;/span&gt;&lt;span lang=&quot;EN-CA&quot; style=&quot;mso-ansi-language: EN-CA\;&quot;&gt;He e
 arned his Ph.D. in Signal Processing and Telecommunications with High Hono
 rs fr&lt;/span&gt;&lt;span lang=&quot;EN-CA&quot; style=&quot;mso-ansi-language: EN-CA\;&quot;&gt;om the N
 ational Institute of Applied Sciences (INSA)\, University of Toulouse\, Fr
 ance\, in 2009. &lt;/span&gt;&lt;span lang=&quot;EN-CA&quot; style=&quot;mso-ansi-language: EN-CA\
 ;&quot;&gt;His research focuses &lt;/span&gt;&lt;span lang=&quot;EN-CA&quot; style=&quot;mso-ansi-language
 : EN-CA\;&quot;&gt;on wireless communication networks\, tactical communications\, 
 resource allocation\, and network security.&amp;nbsp\;&lt;/span&gt;&lt;span lang=&quot;EN-CA
 &quot; style=&quot;mso-ansi-language: EN-CA\;&quot;&gt;Prof. Kaddoum is a member of the Roya
 l Society of Canada and has received multiple prestigious recognitions. He
  has served as an associate editor for IEEE Transactions on Information Fo
 rensics and Security and IEEE Communications Letters. Currently\, he is an
  area editor for IEEE Transactions on Machine Learning in Communications a
 nd Networking and an editor for IEEE Transactions on Communications.&lt;/span
 &gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;text-align: justify\;&quot;&gt;&lt;span lang=&quot;EN-C
 A&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;
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