BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Knight Campus & Data Science Initiative Seminar
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260713T115334Z
UID:tag:localist.com\,2008:EventInstance_35902150516239
DTSTART:20210225T230000Z
DTEND:20210226T001500Z
DESCRIPTION:Courosh Mehanian “Using AI to Tackle Global Health Problems
 ”\n\nAbstract: The machine learning group at Global Health Labs harnesse
 s the power of AI to tackle global health problems. Through an extensive n
 etwork of field partners\, governmental and non-governmental agencies\, an
 d universities\, the team has curated or obtained extensive datasets for t
 raining data-hungry machine learning models. The team has developed algori
 thms for automated detection and counting of malaria parasites in blood sm
 ears\; automated detection of precancerous lesions from smartphone cervix 
 images\; and automated detection of childhood pneumonia with ultrasound. O
 verviews of these three projects will be given and lessons learned will be
  discussed.\n\n \n\nBio: After earning a Ph.D. in physics from Cornell Uni
 versity\, Courosh Mehanian changed course to pursue a career doing researc
 h in the areas of machine learning and computer vision. He has made contri
 butions in neural networks for early visual processing\, automatic target 
 recognition\, semiconductor quality control\, automated pap-smear interpre
 tation\, and automated digital pathology for drug safety testing. Prior to
  joining Global Health Labs\, he held positions at Boston University\, MIT
  Lincoln Laboratory\, Cytyc\, KLA-Tencor\, and Charles River Laboratories.
LOCATION:
SUMMARY:Knight Campus & Data Science Initiative Seminar
URL;VALUE=URI:https://calendar.uoregon.edu/event/knight_campus_data_science
 _initiative_seminar
CATEGORIES:Lectures & Presentations
CATEGORIES:Seminar
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