Singapore, Singapore

Roshan Gopalakrishnan

USPTO Granted Patents = 6 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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6 patents (USPTO):Explore Patents

Title: Innovations of Roshan Gopalakrishnan

Introduction

Roshan Gopalakrishnan is a notable inventor based in Singapore, known for his contributions to the field of machine learning and motion data analysis. With a total of six patents to his name, he has made significant strides in developing innovative methods that enhance the understanding of object motion in defined environments.

Latest Patents

One of his latest patents is titled "Self-organized learning of three-dimensional motion data." This method involves capturing image data and radar data associated with an object in a defined environment at various points in time. The process includes pairing each image datum with a corresponding radar datum based on their chronological occurrence. Ultimately, this method generates a three-dimensional motion representation of the object, leveraging the capabilities of a machine learning model.

Another significant patent is "Detection and estimation of spin." This method aims to determine the spin rate of an object in motion by training a neural network with initial data generated from radar signals. The process includes converting radar signals into input vectors that contain time and frequency information. By analyzing these vectors, the trained neural network can accurately determine the spin rate of the object in motion.

Career Highlights

Roshan Gopalakrishnan is currently employed at Rapsodo Pte. Ltd., where he continues to innovate and develop cutting-edge technologies. His work focuses on enhancing the capabilities of motion detection and analysis through advanced machine learning techniques.

Collaborations

He collaborates with talented individuals such as Batuhan Okur and Saurabh Garg, contributing to a dynamic and innovative work environment.

Conclusion

Roshan Gopalakrishnan's contributions to the field of motion data analysis and machine learning exemplify the spirit of innovation. His patents reflect a commitment to advancing technology and improving our understanding of object motion in various environments.

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