Aurora, IL, United States of America

Surendran Narayanamoorthy

This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: Ccc Intelligent Solutions Inc.. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Surendran Narayanamoorthy: Innovator in AI and Accident Analysis

Introduction

Surendran Narayanamoorthy is a notable inventor based in Aurora, IL (US). He has made significant contributions to the field of artificial intelligence, particularly in the area of accident analysis. His innovative approach combines deep learning with practical applications in estimating vehicle dynamics.

Latest Patents

Narayanamoorthy holds a patent for a groundbreaking invention titled "Estimating DeltaV from images." This patent describes an artificial intelligence (AI) deep learning model that is trained using images of known accidents. The trained model utilizes First Notice of Loss (FNOL) data to predict the value of DeltaV and PDoF for various objects involved in new accidents. This invention represents a significant advancement in the use of AI for accident reconstruction and analysis.

Career Highlights

Surendran Narayanamoorthy is currently employed at CCC Intelligent Solutions Inc., where he continues to develop innovative solutions in the field of accident analysis. His work has garnered attention for its potential to improve the accuracy and efficiency of accident assessments.

Collaborations

He collaborates with talented professionals in his field, including Zia Ghiasi and Taha Khademinejad. Their combined expertise contributes to the advancement of technology in accident analysis and AI applications.

Conclusion

Surendran Narayanamoorthy is a pioneering inventor whose work in AI and accident analysis is shaping the future of the industry. His contributions, particularly through his patent, demonstrate the potential of technology to enhance safety and efficiency in accident assessments.

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