Ms. Amanda FU
Product Test Engineering Director, Silicon Laboratories International
Amanda Fu is the Product Test Engineering Director at Silicon Labs International Pte Ltd. She began her career at Agere Systems as a Product Engineer, where she gained valuable experience in semiconductor manufacturing processes. She joined Silicon Labs in 2007 and now leads the Product and Test Engineering team in Singapore. Her team designs cost-effective and stable production test solutions for IoT products, and ensures high-quality product delivery to customers.
Amanda received her Bachelor of Science Degree in Electrical and Computer Engineering from Cornell University, USA, and a Master of Science Degree in Electrical Engineering from the California Institute of Technology, USA.
Presentation Title
Semiconductor Manufacturing Yield Prediction and Optimization Using Machine Learning Techniques
Abstract
Advanced data analysis tools and techniques are important for semiconductor companies to gain competitive advantage. In particular, yield prediction tools, which fully utilize production data, help to improve operational efficiency and reduce production costs. This paper introduces a novel and scalable framework for semiconductor manufacturing Final Test (FT) yield prediction leveraging machine learning techniques. This framework is able to predict FT yield at wafer fabrication stage, so that FT low yield problems can be caught at an earlier production stage compared to past studies.