This inventor holds 1 USPTO granted patent. Top assignee: Old Dominion University. 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: Innovations of Khan Iftekharuddin
Introduction
Khan Iftekharuddin is a notable inventor based in Virginia Beach, VA (US). He has made significant contributions to the field of machine learning and human identification technologies. His work focuses on developing systems that enhance the accuracy and efficiency of tracking and identifying multiple subjects in various environments.
Latest Patents
Khan Iftekharuddin holds a patent for a "System for view invariant 3-D skeleton estimation and human identification using LIDAR full motion video." This innovative machine learning system is designed for identifying, tracking, and predicting multiple subjects in a series of images or frames. The system includes a front-end sensing assembly and a server configured to process images with depth. The server is capable of identifying subjects from each frame using image and depth data, comparing recognized movements with a historical database, and determining uncharacteristic motions to assign nodes to new subjects. This patent showcases his expertise in integrating advanced technologies for practical applications.
Career Highlights
Khan Iftekharuddin is affiliated with Old Dominion University, where he contributes to research and development in his field. His work has garnered attention for its innovative approach to solving complex problems related to human identification and tracking.
Collaborations
Khan collaborates with Alexander Merwyn Glandon, working together to advance their research and explore new possibilities in their field.
Conclusion
Khan Iftekharuddin's contributions to machine learning and human identification through his patented innovations highlight his role as a leading inventor in this domain. His work continues to pave the way for advancements in technology that can significantly impact various industries.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
