Norma Khader

About Norma Khader

Data enthusiast and problem solver with a Ph.D. in Industrial & Systems Engineering and 10+ years of expertise in machine learning, optimization, and data analytics. Proven ability to design AI-powered automation systems and develop optimization-based data mining models, enabling strategic decision-making in high-tech manufacturing and healthcare automation. Adept at data visualization and interactive analytics, transforming complex datasets into actionable business intelligence. Accomplished researcher with 11 journal publications, 6 conference papers, and 327 citations.

Experience

1. Sr R & d Engineer

   Koh Young America

   Aug 2021 — Present · San Diego, CA, US

   Developing AI and ML solutions for defect detection and process optimization in Surface Mount Technology (SMT)• YOLO model for PCB foreign material detection (90% recall, 85% precision).• SAM (ViT-H) for object segmentation and pixel-wise data augmentation.• K-means & SVM for analyzing bubble defects on coated PCBs.• Nonlinear optimization to minimize solder paste offsets from stencil pads.• Data mining model (SVR, DT, ANN) to trigger stencil cleaning.• Survival Regression to determine optimal cleaning lengths.• SPC functions for SPI, AOI, and Neptune C+ machines in KY solutions.

Education

• Jordan University of Science and Technology

  Bachelor's degree, Industrial Engineering

  2007 — 2012

• Binghamton University

  Master's degree, Industrial and Systems Engineering

  2012 — 2014

• Binghamton University

  Doctor of Philosophy (Ph.D.), Industrial and Systems Engineering

  2014 — 2018