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DTSTAMP:20241125T152846Z
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DTSTART;TZID=Europe/London:20240621T150000
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DESCRIPTION:The IEEE PES Women in Power UK&I Chapter invites Dr Tabia Ahmad
 \, Research Associate in Electrical &Electronic Engineering\, The Universi
 ty of Manchester\, to give a presentation about "Trustworthy Machine Learn
 ing for Power System Situational Awareness" from 3-4 pm (BST)\, 21st June 
 2024\, online via Zoom.\n\n[]\n\nCo-sponsored by: IEEE PES Women in Power 
 UK&I Chapter\n\nSpeaker(s): Tabia Ahmad \n\nVirtual: https://events.vtools
 .ieee.org/m/421557
LOCATION:Virtual: https://events.vtools.ieee.org/m/421557
ORGANIZER:audiche@ieee.org
SEQUENCE:16
SUMMARY:IEEE Webinar: Trustworthy Machine Learning for Power System Situati
 onal Awareness
URL;VALUE=URI:https://events.vtools.ieee.org/m/421557
X-ALT-DESC:Description: <br /><p>The IEEE PES Women in Power UK&amp\;I Chap
 ter invites Dr Tabia Ahmad\, Research Associate in Electrical &amp\;Electr
 onic Engineering\, The University of Manchester\, to give a presentation a
 bout "Trustworthy Machine Learning for Power System Situational Awareness"
  from 3-4 pm (BST)\, 21st June 2024\, online via Zoom.</p>\n<p><img src="h
 ttps://events.vtools.ieee.org/vtools_ui/media/display/5e484fa1-d78c-4159-a
 045-2e9714071ec2" alt="" width="900" height="507"></p>\n<p>&nbsp\;</p>\n<p
 >&nbsp\;</p>
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