BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20231105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:682df542d2869
DTSTART;TZID=America/Toronto:20231114T123000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20231114T133000
URL:/engineering/events/artificial-intelligence-expert-
 panel
SUMMARY:Artificial Intelligence Expert Panel
CLASS:PUBLIC
DESCRIPTION:Summary \n\nJoin the Department of Systems Design Engineering f
 or a panel\ndiscussion with artificial intelligence experts.\n\nDr. Bryan 
 Tripp\, Associate Professor\, Systems Design Engineering Dr.\nTripp uses c
 omputational models to study how the brain processes\ninformation. He inte
 grates neurobiological models and deep learning to\nstudy visuomotor proce
 sses. He is also interested in applying these\nmodels in challenging robot
 ics tasks\, to better understand how the\nbrain deals with the complex phy
 sical world.\n\nDr. Mihaela Vlasea\, Associate Professor\, Mechanical and 
 Mechatronics\nEngineering Additive manufacturing is rapidly changing the\n
 manufacturing landscape. Dr.\n\nVlasea’s research focuses on innovative 
 design\, process optimization\nand adoption of new materials for powder be
 d fusion and binder jetting\nadditive manufacturing processes. The researc
 h goals are to bridge the\ntechnological gaps necessary to improve part qu
 ality\, process\nrepeatability and reliability.\n\nDr. Alex Wong\, Canada 
 Research Chair in Artificial Intelligence and\nMedical Imaging\, Professor
 \, Systems Design Engineering Dr. Wong is\ninternationally recognized for 
 his pioneering contributions to\noperational artificial intelligence and c
 omputational medical imaging.\nHis work on scalable and explainable deep l
 earning aims at making AI\ntechnology accessible to everyone\, and at gain
 ing a deeper\nunderstanding in how neural networks think. A prolific innov
 ator\, his\ncreative work in computational medical imaging has led to the\
 ninvention of a new form of MRI designed for cancer detection\, the\nfirst
  blood-flow imaging system for observing arterial and venous flow\nfrom a 
 distance\, and a spectral light-field fusion microscope without\nlenses.\n
  
DTSTAMP:20250521T154610Z
END:VEVENT
END:VCALENDAR