Thang Nguyen

Title: Thang Nguyen: Innovator in Electronic Design Technologies

Introduction

Thang Nguyen is a prominent inventor based in San Jose, CA (US), known for his contributions to electronic design technologies. With a total of 7 patents, he has made significant advancements in methods and systems that enhance the efficiency and accuracy of electronic designs.

Latest Patents

Thang Nguyen's latest patents include innovative methods for generating shape data for electronic designs. These methods involve inputting a set of shape data that represents various shapes for a device fabrication process. A convolutional neural network is utilized to determine a set of generated shape data, which includes a scanning electron microscope (SEM) image. Another notable patent focuses on registering images for electronic designs. This method trains a convolutional neural network to align images from different modalities, such as a computer-aided design (CAD) image and a SEM image, ensuring accurate registration through an affine transformation.

Career Highlights

Throughout his career, Thang Nguyen has worked with notable organizations, including the Center for Deep Learning in Electronics Manufacturing, Inc. and the Center for Deep Learning in Electronics Mfg., Inc. His work has significantly impacted the field of electronic design, showcasing his expertise in deep learning applications.

Collaborations

Thang has collaborated with talented individuals such as Ajay Baranwal and Suhas Pillai, contributing to the advancement of electronic design technologies through teamwork and shared knowledge.

Conclusion

Thang Nguyen's innovative work in electronic design technologies has led to the development of several patents that enhance the efficiency of design processes. His contributions continue to shape the future of electronic manufacturing.