This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Applied Materials, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Sneha Rupa Kongara: Innovator in Wafer Defect Classification
Introduction
Sneha Rupa Kongara is a prominent inventor based in Bengaluru, India. She has made significant contributions to the field of machine learning and defect detection in processed wafers. Her innovative approach has led to the development of a patented method that enhances the efficiency of defect classification.
Latest Patents
Kongara holds a patent for a method and apparatus for training a learning model for automatic defect detection and classification of processed wafers. This patent, which is titled "Defect classification of processed wafers," outlines a comprehensive process that includes receiving labeled images with defect classification types, creating training sets, and utilizing machine learning models to classify wafer portions based on detected defects. The model can also determine downstream yield based on wafer profiles, showcasing her expertise in integrating machine learning with semiconductor technology. She has 1 patent to her name.
Career Highlights
Kongara is currently employed at Applied Materials, Inc., a leading company in the semiconductor industry. Her work focuses on advancing technologies that improve the manufacturing processes of wafers. Her innovative contributions have positioned her as a key player in her field.
Collaborations
Kongara collaborates with talented professionals such as Rahul Reddy Komatireddi and Rohith Cherikkallil. These collaborations enhance her research and development efforts, allowing for a more comprehensive approach to innovation in wafer processing.
Conclusion
Sneha Rupa Kongara is a trailblazer in the field of wafer defect classification, with a strong focus on machine learning applications. Her contributions to the industry are noteworthy, and her patent reflects her commitment to advancing technology in semiconductor manufacturing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
