This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Mohamed Bin Zayed University of Artificial Intelligence. 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: Sahal Shaji Mullappilly: Innovator in Satellite Object Detection
Introduction
Sahal Shaji Mullappilly is an accomplished inventor based in Abu Dhabi, AE. He has made significant contributions to the field of satellite object detection through his innovative patent. His work addresses complex challenges in analyzing satellite imagery, showcasing his expertise in machine learning and artificial intelligence.
Latest Patents
Sahal holds a patent for a "System and method of open-world semi-supervised satellite object detection." This invention involves a machine learning engine equipped with both a training component and an inference component. The method effectively detects objects in satellite imagery, tackling issues such as arbitrary orientations, wide variations in object sizes, and complex backgrounds. A transformer network is utilized to identify unknown objects in satellite images, incorporating a rotation-aware pyramidal pseudo-labeling operation. This operation captures scale-specific features for pseudo-labeling unknown objects. Additionally, a semi-supervised learning pipeline is employed to learn new object classes, while a prediction head annotates the satellite image with predicted object classes.
Career Highlights
Sahal is currently affiliated with Mohamed Bin Zayed University of Artificial Intelligence, where he continues to advance his research and development in artificial intelligence applications. His work is pivotal in enhancing the capabilities of satellite imagery analysis.
Collaborations
Sahal collaborates with notable colleagues, including Abhishek Singh Gehlot and Hisham Cholakkal. Their combined expertise contributes to the innovative projects at their institution.
Conclusion
Sahal Shaji Mullappilly is a prominent figure in the realm of satellite object detection, with a focus on leveraging machine learning to solve complex challenges. His contributions are shaping the future of satellite imagery analysis and enhancing our understanding of the world from above.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile