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DTSTART;TZID=America/Toronto:20231114T123000
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URL:https://uwaterloo.ca/engineering/events/artificial-intelligence-expert-
 panel
LOCATION:E5 - Engineering 5\, 6006\, Online 200 University Avenue West Wate
 rloo ON N2L 3G1 Canada
SUMMARY:Artificial Intelligence Expert Panel
CLASS:PUBLIC
DESCRIPTION:Join the Department of Systems Design Engineering for a panel\n
 discussion with artificial intelligence experts.\n\nDr. Bryan Tripp\, Asso
 ciate Professor\, Systems Design Engineering Dr.\nTripp uses computational
  models to study how the brain processes\ninformation. He integrates neuro
 biological models and deep learning to\nstudy visuomotor processes. He is 
 also interested in applying these\nmodels in challenging robotics tasks\, 
 to better understand how the\nbrain deals with the complex physical world.
 \n\nDr. Mihaela Vlasea\, Associate Professor\, Mechanical and Mechatronics
 \nEngineering Additive manufacturing is rapidly changing the\nmanufacturin
 g landscape. Dr.\n\nVlasea’s research focuses on innovative design\, pro
 cess optimization\nand adoption of new materials for powder bed fusion and
  binder jetting\nadditive manufacturing processes. The research goals are 
 to bridge the\ntechnological gaps necessary to improve part quality\, proc
 ess\nrepeatability and reliability.\n\nDr. Alex Wong\, Canada Research Cha
 ir in Artificial Intelligence and\nMedical Imaging\, Professor\, Systems D
 esign Engineering Dr. Wong is\ninternationally recognized for his pioneeri
 ng contributions to\noperational artificial intelligence and computational
  medical imaging.\nHis work on scalable and explainable deep learning aims
  at making AI\ntechnology accessible to everyone\, and at gaining a deeper
 \nunderstanding in how neural networks think. A prolific innovator\, his\n
 creative work in computational medical imaging has led to the\ninvention o
 f a new form of MRI designed for cancer detection\, the\nfirst blood-flow 
 imaging system for observing arterial and venous flow\nfrom a distance\, a
 nd a spectral light-field fusion microscope without\nlenses.
DTSTAMP:20260420T040434Z
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