Portland, OR, United States of America

Emily Ann Alden

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Lam Research Corporation. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Emily Ann Alden. Retrieved from https://idiyas.com/inventor/emily-ann-alden

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Emily Ann Alden: Innovator in Semiconductor Manufacturing

Introduction

Emily Ann Alden is a prominent inventor based in Portland, OR (US). She has made significant contributions to the field of semiconductor manufacturing through her innovative approaches and methodologies. Her work focuses on utilizing machine learning to enhance the efficiency and effectiveness of manufacturing processes.

Latest Patents

Emily holds a patent for the "Determination of recipes for manufacturing semiconductor devices." This patent presents methods, systems, and computer programs designed to determine the recipe for manufacturing semiconductors using machine learning. The approach accelerates the definition of recipes by performing experiments and virtual simulations, ultimately creating new recipes based on specific processing specifications.

Career Highlights

Emily is currently employed at Lam Research Corporation, where she applies her expertise in semiconductor technology. Her work has been instrumental in advancing the capabilities of semiconductor manufacturing, making processes more efficient and reliable.

Collaborations

Emily collaborates with talented individuals such as Kapil Umesh Sawlani and Atashi Basu, contributing to a dynamic and innovative work environment.

Conclusion

Emily Ann Alden is a trailblazer in the semiconductor industry, leveraging machine learning to revolutionize manufacturing processes. Her contributions are paving the way for future advancements in technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…