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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Colombo
BEGIN:DAYLIGHT
DTSTART:20380119T084407
TZOFFSETFROM:+0530
TZOFFSETTO:+0530
RRULE:FREQ=YEARLY;BYDAY=3TU;BYMONTH=1
TZNAME:+0530
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DTSTART:20060415T000000
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TZOFFSETTO:+0530
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BEGIN:VEVENT
DTSTAMP:20250729T095313Z
UID:6202B1FB-82C2-431D-8930-AEE1EACEDBB6
DTSTART;TZID=Asia/Colombo:20250724T120000
DTEND;TZID=Asia/Colombo:20250728T130000
DESCRIPTION:AI and Satellite-Driven Health Forecasting was a collaborative 
 event organized by the IEEE ComSoc Student Chapter and the IEEE Women in E
 ngineering Student Branch Affinity Group of the University of Peradeniya. 
 The session\, held at the Department of Electrical and Electronic Engineer
 ing\, featured Dr. Thilanka Munasinghe\, who discussed the use of Graph Ne
 ural Networks (GNNs) and NASA satellite data to predict dengue outbreaks a
 cross Sri Lanka. The event brought together undergraduates\, lecturers\, a
 nd professionals to explore how emerging technologies can transform public
  health through AI and space-based insights.\n\n[]\n\nSpeaker(s): Dr. Thil
 anka Munasinghe\, \n\nRoom: Smart room\, Bldg: Electrical and Electronic E
 ngineering Department\, Faculty of Engineering\, University of Peradeniya\
 , Kandy\, Sri Lanka\, Sri Lanka\, 20400
LOCATION:Room: Smart room\, Bldg: Electrical and Electronic Engineering Dep
 artment\, Faculty of Engineering\, University of Peradeniya\, Kandy\, Sri 
 Lanka\, Sri Lanka\, 20400
ORGANIZER:ieeewieagofuop@gmail.com
SEQUENCE:4
SUMMARY:AI and Satellite-Driven Health Forecasting
URL;VALUE=URI:https://events.vtools.ieee.org/m/494559
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;AI and Satellite-Driven Health Forecasting
  was a collaborative event organized by the IEEE ComSoc Student Chapter an
 d the IEEE Women in Engineering Student Branch Affinity Group of the Unive
 rsity of Peradeniya. The session\, held at the Department of Electrical an
 d Electronic Engineering\, featured Dr. Thilanka Munasinghe\, who discusse
 d the use of Graph Neural Networks (GNNs) and NASA satellite data to predi
 ct dengue outbreaks across Sri Lanka. The event brought together undergrad
 uates\, lecturers\, and professionals to explore how emerging technologies
  can transform public health through AI and space-based insights.&lt;/p&gt;\n&lt;p&gt;
 &lt;img src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/5d93c509-
 0cfa-42be-8b34-eebad8d82b62&quot; alt=&quot;&quot; width=&quot;526&quot; height=&quot;526&quot;&gt;&lt;/p&gt;
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