Holly Springs, NC, United States of America

Anya Mary McGuirk


Average Co-Inventor Count = 3.8

ph-index = 4

Forward Citations = 28(Granted Patents)


Location History:

  • Holly Spring, NC (US) (2017)
  • Holly Springs, NC (US) (2020 - 2023)

Company Filing History:


Years Active: 2017-2023

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7 patents (USPTO):Explore Patents

Title: Anya Mary McGuirk: Innovator in Quality Prediction Technology

Introduction

Anya Mary McGuirk is a prominent inventor based in Holly Springs, NC (US). She has made significant contributions to the field of quality prediction using advanced machine learning techniques. With a total of 7 patents to her name, Anya is recognized for her innovative approaches to improving bonding operations in various applications.

Latest Patents

One of Anya's latest patents focuses on quality prediction using process data. This invention involves a computing device that accesses a machine learning model trained on data from initial bonding operations, such as ball and stitch bonds. The model is developed through supervised learning, allowing the device to receive input data generated from measurements of subsequent bonding operations. By weighting this input data according to the machine learning model, the device generates an anomaly predictor that indicates the risk of anomalies occurring in the second bonding operations. This predictive capability is crucial for controlling and enhancing the quality of the bonding process.

Career Highlights

Anya currently works at SAS Institute Inc., where she applies her expertise in machine learning and quality prediction. Her work has been instrumental in advancing the capabilities of bonding operations, making them more efficient and reliable.

Collaborations

Anya collaborates with talented individuals such as Deovrat Vijay Kakde and Yuwei Liao, contributing to a dynamic and innovative work environment.

Conclusion

Anya Mary McGuirk is a trailblazer in the field of quality prediction technology, with a strong portfolio of patents and a commitment to innovation. Her contributions continue to shape the future of bonding operations and machine learning applications.

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