This inventor holds 5 USPTO granted patents and 40 published patent applications, plus 1 CIPO patent and 2 EPO patents. Top assignees: Interdigital Vc Holdings, Inc., Interdigital Patent Holdings, Inc.. 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: Muhammad Asad Lodhi: Innovator in Point Cloud Processing
Introduction
Muhammad Asad Lodhi is a notable inventor based in Highland Park, NJ (US). He has made significant contributions to the field of point cloud processing, showcasing his expertise through innovative patents. His work focuses on advanced methods for handling 3D point cloud data, which is increasingly relevant in various technological applications.
Latest Patents
Lodhi holds a patent for an "Apparatus and method for point cloud processing." This invention involves a learned deep entropy model over octrees for lossless compression and decompression of 3D point cloud data. The method utilizes self-supervised techniques, incorporating an adaptive entropy coder that operates on a tree-structured conditional entropy model. This approach leverages information from both local neighborhoods and the global topology of the tree structure, enhancing the efficiency of point cloud data processing. He has 1 patent to his name.
Career Highlights
Currently, Lodhi is associated with Interdigital Patent Holdings, Inc., where he continues to develop and refine his innovative ideas. His work at the company emphasizes the importance of advanced data processing techniques in modern technology.
Collaborations
Lodhi collaborates with talented individuals such as Jiahao Pang and Dong Tian, contributing to a dynamic and innovative work environment. Their combined expertise fosters creativity and drives advancements in their respective fields.
Conclusion
Muhammad Asad Lodhi is a prominent figure in the realm of point cloud processing, with a focus on innovative methods that enhance data handling. His contributions are paving the way for future advancements in technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile