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UID:0-5503@eng.ufl.edu
DTSTART;TZID=America/New_York:20221214T123000
DTEND;TZID=America/New_York:20221214T133000
DTSTAMP:20221128T210431Z
URL:https://www.eng.ufl.edu/news-events/events/physics-informed-data-analy
 tics-approaches-using-constrained-optimization-exploiting-domain-knowledge
 -with-h/
SUMMARY:Physics-informed data analytics approaches using constrained optimi
 zation - exploiting domain knowledge with h
DESCRIPTION:Physics-informed data analytics approaches using constrained op
 timization - exploiting domain knowledge with hard information in a transp
 ortation network.\nDr. Yueyue Fan\nProfessor\, Civil and Environmental Eng
 ineering at University of California\, Davis.\nhttps://ufl.zoom.us/j/95143
 83897\nDr. Fan will use Transportation networks as examples to discuss how
  constrained optimization\, by providing a flexible modeling framework for
  integrating domain knowledge\, statistics\, and data-driven approaches\, 
 could help addressing some fundamental data challenges that frequently ari
 se in transportation applications.
LOCATION:\, \, 
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DTSTART:20221106T010000
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