This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Moustafa Abdalla Mohamed: Innovator in Cross-Domain Machine Learning
Introduction
Moustafa Abdalla Mohamed is a notable inventor based in Kirkland, WA (US). He has made significant contributions to the field of machine learning, particularly in addressing challenges related to imbalanced domains. His innovative approach has garnered attention in the tech industry.
Latest Patents
Moustafa holds a patent titled "Cross-domain machine learning for imbalanced domains." This patent describes devices and techniques for cross-domain machine learning. A first machine learning model is trained using data from a specific domain, allowing predictions to be generated by inputting data from other domains. The process includes determining prediction errors and grouping similar domains based on these errors. A second machine learning model is then trained for the identified grouping of similar domains. This innovative approach enhances the effectiveness of machine learning applications across various domains.
Career Highlights
Moustafa Abdalla Mohamed is currently employed at Amazon Technologies, Inc., where he applies his expertise in machine learning to develop advanced technologies. His work focuses on improving the efficiency and accuracy of machine learning models, contributing to the company's innovative projects.
Collaborations
Moustafa collaborates with talented individuals such as Raghava Gupta Valiveti and Lifan Chen. These partnerships foster a creative environment that drives innovation and enhances the development of cutting-edge technologies.
Conclusion
Moustafa Abdalla Mohamed is a pioneering inventor whose work in cross-domain machine learning is shaping the future of technology. His contributions are vital in addressing complex challenges in the field, and his collaborations further amplify the impact of his innovations.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
