Areej AlBahar
Papers
1
Total Citations
37
H-Index
1
About
Dr. Areej AlBahar is a leading researcher in the intersection of Bayesian optimization, manufacturing systems, and industrial quality control. Her work is distinguished by its focus on developing robust statistical methodologies for complex, high-stakes engineering environments. Her most cited paper, "A Robust Asymmetric Kernel Function for Bayesian Optimization, With Application to Image Defect Detection in Manufacturing Systems" (2021, 37 citations), introduces a novel kernel function that addresses the critical challenge of optimizing highly nonlinear and expensive-to-evaluate response surfaces. This contribution is pivotal for real-world applications where traditional symmetric kernels fail, particularly in automated visual inspection for defect detection. By enabling more efficient and accurate sequential design, Dr. AlBahar’s research directly improves the reliability and cost-effectiveness of modern manufacturing systems. Her work is notable for bridging advanced statistical theory with practical industrial needs, making her a key figure in the advancement of smart manufacturing and data-driven quality assurance.
Research Focus
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Top Papers
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