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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Kolkata
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DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20251112T152447Z
UID:E5B10B6E-8FCF-40F4-9F26-37E1EA8B3D69
DTSTART;TZID=Asia/Kolkata:20251112T150000
DTEND;TZID=Asia/Kolkata:20251112T160000
DESCRIPTION:In today’s data-driven world\, the integration of Artificial 
 Intelligence (AI) with Geospatial Technology is revolutionizing the way we
  analyze and interpret Earth observation data. To provide valuable insight
 s into this emerging interdisciplinary domain\, the IEEE Geoscience and Re
 mote Sensing Society (GRSS) Student Branch Chapter\, Anna University (SBC8
 1361E)\, is organizing a guest lecture on “AI and Geospatial Technology.
 ”\n\nThe session will be delivered by Dr. Sriram Subramanian\, Assistant
  Professor & Canada Research Chair\, School of Computer Science\, Carleton
  University\, Canada. Dr. Subramanian will share his expertise on how AI-d
 riven models are transforming geospatial data processing\, remote sensing 
 analysis\, and environmental applications.\n\nThis lecture aims to inspire
  students\, researchers\, and professionals to explore AI-enabled geospati
 al solutions for addressing real-world challenges such as urban planning\,
  disaster management\, and climate monitoring.\n\nCo-sponsored by: IEEE GR
 SS Madras Section Chapter\n\nSpeaker(s): Dr. Sriram Subramanian\n\nAgenda:
  \n2:45 PM - 3:00 PM	Registration & Seating\n3:00 PM - 3:05 PM	Welcome Add
 ress and Introduction of Speaker\n3:05 PM - 3:45 PM	Guest Lecture by Dr. S
 riram Subramanian on “AI and Geospatial Technology”\n3:45 PM - 3:55 PM
 	Interactive Q&A Session\n3:55 PM - 4:00 PM	Vote of Thanks and Closing Rem
 arks\n\nRoom: Colin Mackenzie Auditorium\, Bldg: Institute of Remote Sensi
 ng\, 12\, Sardar Patel Road\, College of Engineering Guindy\, Chennai\, Ta
 mil Nadu\, India\, 600025\, Virtual: https://events.vtools.ieee.org/m/5133
 01
LOCATION:Room: Colin Mackenzie Auditorium\, Bldg: Institute of Remote Sensi
 ng\, 12\, Sardar Patel Road\, College of Engineering Guindy\, Chennai\, Ta
 mil Nadu\, India\, 600025\, Virtual: https://events.vtools.ieee.org/m/5133
 01
ORGANIZER:0001sivani@gmail.com
SEQUENCE:79
SUMMARY:AI and Geospatial Technology
URL;VALUE=URI:https://events.vtools.ieee.org/m/513301
X-ALT-DESC:Description: <br /><p style="text-align: justify\;">In today&rsq
 uo\;s data-driven world\, the <strong>integration of Artificial Intelligen
 ce (AI)</strong> with <strong>Geospatial Technology</strong> is revolution
 izing the way we analyze and interpret Earth observation data. To provide 
 valuable insights into this emerging interdisciplinary domain\, the <stron
 g>IEEE Geoscience and Remote Sensing Society (GRSS) Student Branch Chapter
 \, Anna University (SBC81361E)</strong>\, is organizing a guest lecture on
  &ldquo\;AI and Geospatial Technology.&rdquo\;</p>\n<p style="text-align: 
 justify\;">The session will be delivered by <strong>Dr. Sriram Subramanian
 \,</strong> Assistant Professor &amp\; Canada Research Chair\, School of C
 omputer Science\, Carleton University\, Canada. Dr. Subramanian will share
  his expertise on how AI-driven models are transforming geospatial data pr
 ocessing\, remote sensing analysis\, and environmental applications.</p>\n
 <p style="text-align: justify\;">This lecture aims to inspire students\, r
 esearchers\, and professionals to explore AI-enabled geospatial solutions 
 for addressing real-world challenges such as urban planning\, disaster man
 agement\, and climate monitoring.</p><br /><br />Agenda: <br /><table styl
 e="border-collapse: collapse\; width: 80.6586%\;" border="1"><colgroup><co
 l style="width: 23.8887%\;"><col style="width: 76.0793%\;"></colgroup>\n<t
 body>\n<tr>\n<td>2:45 PM - 3:00 PM</td>\n<td>Registration &amp\; Seating</
 td>\n</tr>\n<tr>\n<td>3:00 PM - 3:05 PM</td>\n<td>Welcome Address and Intr
 oduction of Speaker</td>\n</tr>\n<tr>\n<td>3:05 PM - 3:45 PM</td>\n<td>Gue
 st Lecture by Dr. Sriram Subramanian on &ldquo\;AI and Geospatial Technolo
 gy&rdquo\;</td>\n</tr>\n<tr>\n<td>3:45 PM - 3:55 PM</td>\n<td>Interactive 
 Q&amp\;A Session</td>\n</tr>\n<tr>\n<td>3:55 PM - 4:00 PM</td>\n<td>Vote o
 f Thanks and Closing Remarks</td>\n</tr>\n</tbody>\n</table>\n<p>&nbsp\;</
 p>
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