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Jay Oswald

Associate Professor, School for Engineering of Matter, Transport and Energy

Dr. Oswald develops computational and AI-driven methods for advanced manufacturing, including laser welding, automated inspection, robotics, and computational mechanics.

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Students are improving access to eye care, generating valuable products from waste, increasing solar efficiency and more at the FURI/MORE Virtual Symposium.