Toronto, Canada

Sivabalan Manivasagam

This inventor holds 19 USPTO granted patents and 10 published patent applications, primarily in Machine Learning. Top assignees: Uatc, LLC, Aurora Operations, Inc., Waabi Canada Inc.. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sivabalan Manivasagam. Retrieved from https://idiyas.com/inventor/sivabalan-manivasagam

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 19 

% Patents Active = 100.0

Average Co-Inventor Count = 5.8

ph-index = 4

Forward Citations = 31(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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Areas of Expertise:
Augmented Image Generation
Traffic Scene Simulation
Object Reconstruction
Synthetic Sensor Data
Autonomous Vehicle Testing
Adversarial Loss Functions
Light Detection
Vehicle-to-Vehicle Communications
Photorealistic Simulation
Geometry-Aware Composition
Object Detection Models
19 patents (USPTO):Explore Patents

Title: The Innovative Mind of Sivabalan Manivasagam

Introduction

Sivabalan Manivasagam is a prominent inventor based in Toronto, Canada. He has made significant contributions to the field of technology, particularly in machine learning and sensor data generation. With a total of 16 patents to his name, his work continues to influence advancements in various industries.

Latest Patents

Among his latest patents are "Systems and methods for training machine-learned models with deviating intermediate representations" and "Systems and methods for generating synthetic sensor data via machine learning." The first patent addresses how an adverse system can obtain sensor data to disrupt a machine-learned model associated with a target system. This innovative approach allows for the training of models to detect modified representations, enhancing their robustness. The second patent focuses on combining physics-based systems with machine learning to generate synthetic LiDAR data that accurately mimics real-world sensor systems. This method utilizes deep neural networks to simulate both the geometry and intensity of LiDAR data, providing a more realistic representation for various applications.

Career Highlights

Sivabalan has worked with notable companies such as UATC, LLC and Aurora Operations, Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in the field of technology.

Collaborations

Throughout his career, Sivabalan has collaborated with esteemed colleagues, including Raquel Urtasun and Shenlong Wang. These partnerships have fostered an environment of innovation and creativity, leading to the development of advanced technologies.

Conclusion

Sivabalan Manivasagam's contributions to the field of technology through his patents and collaborations highlight his innovative spirit and dedication to advancing machine learning and sensor technologies. His work continues to pave the way for future advancements in these critical areas.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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