This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Mohammad Sadegh Ali Akbarian: Innovator in Pose Prediction Technology
Introduction
Mohammad Sadegh Ali Akbarian is a notable inventor based in Cambridge, GB. He has made significant contributions to the field of machine learning and pose prediction for articulated objects. His innovative approach has garnered attention in the tech community, particularly for its applications in various industries.
Latest Patents
One of his key patents is titled "Pose prediction for articulated object." This patent describes a method for predicting the pose of an articulated object by receiving spatial information for n joints of the object. The spatial information is then processed through a machine learning model that has been trained to handle input for n+m joints, where m is greater than or equal to one. The output from this model provides a pose prediction based on the spatial information for the n joints, without requiring data for the m joints. This innovative method has the potential to enhance the accuracy and efficiency of pose estimation in various applications.
Career Highlights
Mohammad Sadegh Ali Akbarian is currently associated with Microsoft Technology Licensing, LLC. His work at Microsoft has allowed him to explore and develop cutting-edge technologies that push the boundaries of machine learning and artificial intelligence. His dedication to innovation is evident in his research and development efforts.
Collaborations
Some of his notable coworkers include Pashmina Cameron and Andrew William Fitzgibbon. Their collaborative efforts contribute to the advancement of technology and innovation within their field.
Conclusion
In summary, Mohammad Sadegh Ali Akbarian is a prominent inventor whose work in pose prediction technology is paving the way for advancements in machine learning applications. His contributions are significant and continue to influence the tech industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
