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Navid Zobeiry is an Associate Professor in the Department of Materials Science & Engineering at the University of Washington, holding an adjunct position in the Department of Aeronautics & Astronautics. His research focuses on the intersection of materials science, data science, and advanced manufacturing, and he works closely with aerospace manufacturers and materials suppliers. Dr. Zobeiry's key research areas include smart testing methods that integrate physics-informed machine learning with traditional characterization techniques, smart manufacturing methods that leverage automation, sensing, and model-based engineering, and smart engineering methods that emphasize uncertainty quantification to accelerate the certification and qualification of aerospace parts. His innovative work has led to the development of patented AI software solutions that are exclusively licensed to prominent aerospace companies. Zobeiry has a strong academic background and has contributed extensively to advancements in composite materials through research and teaching.
University of British Columbia • Vancouver, Canada
University of Washington • Seattle, WA
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