This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Asml Netherlands B.v.. 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: Nabeel Noor Moin: Innovator in Defect Location Identification
Introduction
Nabeel Noor Moin is an accomplished inventor based in Fort Collins, CO (US). He has made significant contributions to the field of defect location identification through his innovative patent. His work focuses on enhancing inspection processes for substrates, which is crucial in various manufacturing sectors.
Latest Patents
Nabeel holds a patent titled "Active learning-based defect location identification." This patent describes a method and apparatus for identifying locations to be inspected on a substrate. The defect location prediction model he developed is trained using a dataset associated with other substrates. This model generates predictions of defect or non-defect status along with a confidence score for each location based on process-related data. Locations that meet a specified confidence threshold are selected for inspection. After the inspection, the model is incrementally trained using the results, improving its accuracy over time.
Career Highlights
Nabeel Noor Moin is currently employed at ASML Netherlands B.V., where he applies his expertise in defect location identification. His innovative approach has the potential to streamline inspection processes and enhance product quality in manufacturing.
Collaborations
Nabeel has collaborated with notable colleagues, including Yi Zou and Tanbir Hasan. Their combined efforts contribute to advancements in the field of defect detection and inspection methodologies.
Conclusion
Nabeel Noor Moin is a pioneering inventor whose work in defect location identification is shaping the future of inspection technologies. His contributions are vital for improving manufacturing processes and ensuring product quality.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
