This inventor holds 1 USPTO granted patent. Top assignee: Carnegie Mellon University. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Ahmed Uzair: Innovator in Feature Extraction Technology
Introduction
Ahmed Uzair is a prominent inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of data augmentation and feature extraction through his innovative patent. His work is particularly relevant in the context of enhancing machine learning models and improving product identification systems.
Latest Patents
Ahmed Uzair holds a patent titled "System and method for pose tolerant feature extraction using generated pose-altered images." This invention discloses a system and method for augmenting data by generating a plurality of pose-altered images of an item from one or more 2D images of the item. The augmented data is then utilized to train a feature extractor. In further aspects of the invention, the trained feature extractor is employed to enroll features extracted from images of new products in a library database of known products. Additionally, it can identify images of unknown products by matching features of an image of the unknown product with features stored in the library database. This patent showcases his innovative approach to solving complex problems in image processing.
Career Highlights
Ahmed Uzair is affiliated with Carnegie Mellon University, where he continues to advance his research and development efforts. His work at this prestigious institution allows him to collaborate with leading experts in the field and contribute to cutting-edge projects.
Collaborations
Some of his notable coworkers include Marios Savvides and Kai Hu. Their collaboration enhances the research environment and fosters innovation in their respective fields.
Conclusion
Ahmed Uzair's contributions to the field of feature extraction and data augmentation are noteworthy. His innovative patent reflects his commitment to advancing technology and improving product identification systems. His work at Carnegie Mellon University positions him as a key player in the ongoing evolution of machine learning and image processing technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile