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DESCRIPTION:Transformative Potentials and Challenges of AI in Aerospace\n\n
 For decades\, aviation has stood out as one of the safest modes of transpo
 rtation\, achieved through rigorous certification processes that uphold un
 compromising quality standards across aircraft development\, testing\, ope
 ration\, maintenance\, and inspection. Presently\, we stand at an inflecti
 on point\, where emerging technologies like AI have the potential to resha
 pe the aerospace sector. While unmanned aerial vehicles are already a real
 ity and autonomous delivery drones and urban air mobility are on the horiz
 on\, safety concerns rightly impose caution on their adoption in aerospace
 . This presentation unveils potential AI applications\, navigates challeng
 es in aerospace certification of AI-enabled systems\, examines ongoing cer
 tification efforts\, and spotlights the University of Stuttgart's endeavor
 s in driving this paradigm shift.\n\nZamira Daw is a Professor of Aircraft
  Systems at the University of Stuttgart. She studied Electrical Engineerin
 g at Javeriana University. During her PhD at Kassel University in Germany 
 and subsequent postdoctoral research at the University of Maryland in USA\
 , she specialized in model-driven development for safety-critical embedded
  systems using formal methods. She began her aerospace journey at Raytheon
  Technologies Research Center\, contributing to areas such as formal verif
 ication\, certification\, knowledge reasoning\, and autonomous systems. Cu
 rrently\, her goal is to develop innovative certification methods that fac
 ilitate the integration of AI into aerospace systems.\n\nRoom: Piso 4\, Sa
 la de Procesos Industriales \, Bldg: EDIFICIO JOSÉ GABRIEL MALDONADO S.J.
 (edificio de ingeniería) \, Cra. 7 #40 - 62\, Bogot D.C \, Distrito Capit
 al de Bogota\, Colombia\, 110231
LOCATION:Room: Piso 4\, Sala de Procesos Industriales \, Bldg: EDIFICIO JOS
 É GABRIEL MALDONADO S.J.(edificio de ingeniería) \, Cra. 7 #40 - 62\, Bo
 got D.C \, Distrito Capital de Bogota\, Colombia\, 110231
ORGANIZER:Michael-pineda@javeriana.edu.co
SEQUENCE:41
SUMMARY:Transformative Potentials and Challenges of AI in Aerospace
URL;VALUE=URI:https://events.vtools.ieee.org/m/369770
X-ALT-DESC:Description: <br /><p>Transformative Potentials and Challenges o
 f AI in Aerospace</p>\n<p>&nbsp\;</p>\n<p>For decades\, aviation has stood
  out as one of the safest modes of transportation\, achieved through rigor
 ous certification processes that uphold uncompromising quality standards a
 cross aircraft development\, testing\, operation\, maintenance\, and inspe
 ction. Presently\, we stand at an inflection point\, where emerging techno
 logies like AI have the potential to reshape the aerospace sector. While u
 nmanned aerial vehicles are already a reality and autonomous delivery dron
 es and urban air mobility are on the horizon\, safety concerns rightly imp
 ose caution on their adoption in aerospace. This presentation unveils pote
 ntial AI applications\, navigates challenges in aerospace certification of
  AI-enabled systems\, examines ongoing certification efforts\, and spotlig
 hts the University of Stuttgart's endeavors in driving this paradigm shift
 .<br /><br /></p>\n<p>Zamira Daw is a Professor of Aircraft Systems at the
  University of Stuttgart. She studied Electrical Engineering at Javeriana 
 University. During her PhD at Kassel University in Germany and subsequent 
 postdoctoral research at the University of Maryland in USA\, she specializ
 ed in model-driven development for safety-critical embedded systems using 
 formal methods. She began her aerospace journey at Raytheon Technologies R
 esearch Center\, contributing to areas such as formal verification\, certi
 fication\, knowledge reasoning\, and autonomous systems. Currently\, her g
 oal is to develop innovative certification methods that facilitate the int
 egration of AI into aerospace systems.</p>
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