This inventor holds 3 USPTO granted patents and 5 published patent applications. 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: Innovations by Rahul Reddy Komatireddi
Introduction
Rahul Reddy Komatireddi is an accomplished inventor based in Bengaluru, India. He has made significant contributions to the field of defect detection in processed wafers. His innovative approach utilizes machine learning to enhance the efficiency of defect classification.
Latest Patents
Rahul holds a patent for a method and apparatus for training a learning model for automatic defect detection and classification of processed wafers. This patent involves receiving labeled images with defect classification types and features, creating training sets, and training a machine learning model to classify wafer portions based on detected defects. The model can also determine downstream yield based on wafer profiles, showcasing a significant advancement in the semiconductor industry.
Career Highlights
Rahul is currently employed at Applied Materials, Inc., where he continues to develop cutting-edge technologies in the semiconductor sector. His work focuses on improving the accuracy and efficiency of defect detection processes, which are crucial for maintaining high-quality standards in wafer production.
Collaborations
Rahul collaborates with talented professionals such as Rohith Cherikkallil and Sneha Rupa Kongara. Together, they contribute to innovative projects that push the boundaries of technology in their field.
Conclusion
Rahul Reddy Komatireddi's contributions to the field of wafer defect classification exemplify the impact of innovation in technology. His work not only enhances production efficiency but also sets a benchmark for future advancements in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
