Sorayya Kazemi

University of Tabriz, University of British Columbia

Papers

Total Citations

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About

Sorayya Kazemi is a researcher at the intersection of intelligent manufacturing, robotics, and materials science. Her work focuses on integrating artificial intelligence and automation to enhance quality control in industrial processes. In her early career, she developed a vision-based system for visual processing and classification of items on moving conveyors, integrating PLC-controlled pick-and-place robotics—a foundational contribution to automated sorting and inspection that has garnered 20 citations. More recently, Kazemi has pioneered the use of AI for real-time quality monitoring in composite material forming. Her 2024 study introduces an intelligent inspection tool that uses artificial intelligence to detect fiber distortions during the draping of fabric composites, a critical step toward self-correcting manufacturing systems. By conducting hemisphere draping tests on commingled fiberglass/polypropylene twill weaves, she demonstrated how machine learning can replace manual inspection, improving precision and reducing waste. Though her citation counts are still growing, her work represents a significant step toward intelligent forming of advanced composites—a field with major implications for aerospace and automotive industries. Kazemi’s research is a compelling example of how AI and robotics can transform traditional manufacturing into smart, adaptive processes.