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CALSCALE:GREGORIAN
X-WR-CALNAME:MAE Distinguished Lecture
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260815T102512Z
UID:tag:localist.com\,2008:EventInstance_47807741791956
DTSTART:20241031T170000Z
DTEND:20241031T190000Z
DESCRIPTION:Join the Mechanical and Aerospace Engineering Department for a 
 distinguished lecture featuring Dr. Jay Lee\, a Clark Distinguished Profes
 sor and Director of the Industrial AI Center at the University of Maryland
 \, College Park! He will be presenting\, "Recent Advances of Industrial AI
  for Highly Connected and Complex Engineering Systems and Perspectives on 
 Data-Centric Engineering Education." Coffee and tea will be served at 1pm\
 , with the lecture beginning at 2pm!\n\nAbstract\nArtificial intelligence 
 (AI) is one of the most powerful technologies of our time. AI embodies a f
 ield within cognitive science that enables the discovery of numerous intel
 ligent methods for emulating human sensory and cognitive functions. Indust
 rial artificial intelligence (Industrial AI) is a system engineering appro
 ach to bring about high value impacts in speed and scale in broad applicat
 ions with capabilities to predict and avoid the invisible problems\, ultim
 ately creating a worry-free and resilient industrial system. This presenta
 tion will introduce the trends and recent advances of Industrial AI for im
 proved resilience of complex and highly connected industrial systems. Firs
 t\, trends of data-centric industrial systems and unmet needs of productiv
 ity are introduced. Next\, some recent advances of\nindustrial AI and non-
 traditional machine learning including topological data analytics\, stream
 -of-quality (SoQ) based data analytics\, similarity-based machine learning
 \, domain adaptation and transfer learning\, etc. for highly connected and
  complex industrial systems will be introduced with some examples includin
 g semiconductor manufacturing\, etc. Furthermore\, perspectives on Industr
 ial Large Knowledge Model and data-centric engineering education through d
 ata foundry for future workforce and talents will be discussed.\n\nBio\nDr
 . Jay Lee is Clark Distinguished Professor and Founding Director of Indust
 rial AI Center in the Mechanical Engineering of the Univ. of Maryland Coll
 ege Park. His current research is focused on developing non- traditional m
 achine learning technologies including transfer learning\, domain adaptati
 on\, similarity-based machine learning\, stream-of-x machine learning\, as
  well as industrial large knowledge model (ILKM)\, etc. In addition\, he i
 s leading AI Foundry and Data Foundry which consist of over 30 different m
 achine learning analytic tools and 100 diversified industrial datasets inc
 luding semiconductor manufacturing\, jet engines\, wind turbine\, EVs\, hi
 gh speed train\, machine tools\, robots\, medical TBI\, etc. for rapid dev
 elopment and deployment of AI.
GEO:38.900051;-77.049426
LOCATION:Science & Engineering Hall\, B1220
SUMMARY:MAE Distinguished Lecture
URL;VALUE=URI:https://calendar.gwu.edu/event/mae-distinguished-lecture
CATEGORIES:Lectures & Speakers
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