SUNNYVALE, CA, United States of America

Pranav Aniruddha Kadam

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Pranav Aniruddha Kadam: Innovator in Dynamic Point Cloud Compression

Introduction

Pranav Aniruddha Kadam is a notable inventor based in Sunnyvale, CA (US). He has made significant contributions to the field of technology, particularly in the area of dynamic point cloud compression. His innovative work has led to the development of a patented method that enhances the efficiency of data processing in electronic devices.

Latest Patents

Kadam holds a patent for "Multiscale inter-prediction for dynamic point cloud compression." This invention provides an electronic device and method that utilizes a set of reference point cloud frames and a current point cloud frame. The device generates reference frame data, predicts features for the current frame using a neural network predictor, and computes residual features. It ultimately generates a bitstream of encoded point cloud data for the current 3D point cloud frame. This patent showcases his expertise in advanced data compression techniques.

Career Highlights

Throughout his career, Pranav Kadam has worked with prominent companies such as Sony Group Corporation and Sony Corporation of America. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge projects in technology and innovation.

Collaborations

Kadam has collaborated with talented individuals in his field, including Alexandre Zaghetto and Danillo Graziosi. These partnerships have fostered a creative environment that encourages the exchange of ideas and advancements in technology.

Conclusion

Pranav Aniruddha Kadam is a distinguished inventor whose work in dynamic point cloud compression has made a significant impact in the tech industry. His innovative patent and collaborations reflect his commitment to advancing technology and improving data processing methods.

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