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Navid Zobeiry is an Associate Professor in the Department of Materials Science & Engineering at the University of Washington, with an adjunct position in the Department of Aeronautics & Astronautics. His research focuses on the intersection of materials science, data science, and advanced manufacturing, in close collaboration with aerospace manufacturers and materials suppliers. Dr. Zobeiry's work addresses key areas such as 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 focus on uncertainty quantification to accelerate aerospace part process certification and qualification through the use of machine learning and physics-based simulations. His innovative research leads to the development of patented AI software solutions that have been licensed to notable aerospace companies.
University of Washington • Seattle, WA
Teaching and conducting research in Materials Science and Engineering.
University of British Columbia • Vancouver, Canada
Conducted research and taught courses in the Department of Materials Science.
Standard Graduate School requirements for University of Washington apply to most departments listed unless specified otherwise by the program.