Delhi, India

Abhishek Goel

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Insurance Services Office, Inc.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Abhishek Goel. Retrieved from https://idiyas.com/inventor/abhishek-goel

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Abhishek Goel: Innovator in Computer Vision Systems

Introduction

Abhishek Goel is a prominent inventor based in Delhi, India. He has made significant contributions to the field of computer vision, particularly in the area of unsupervised learning for contour alignment. His innovative approach has the potential to enhance various applications in image processing and analysis.

Latest Patents

Abhishek holds a patent for "Computer vision systems and methods for unsupervised learning for progressively aligning noisy contours." This patent describes a system that generates a loss function and trains a convolutional neural network using a dataset of images. The trained network learns to align contours through progressively complex transformations, enabling improved accuracy in image attribute alignment.

Career Highlights

Abhishek is currently employed at Insurance Services Office, Inc., where he applies his expertise in computer vision to develop advanced solutions. His work focuses on leveraging technology to improve processes within the insurance industry.

Collaborations

Abhishek has collaborated with notable colleagues, including Venkata Subbarao Veeravasarapu and Deepak Mittal. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Abhishek Goel's contributions to computer vision and his innovative patent demonstrate his commitment to advancing technology in meaningful ways. His work continues to influence the field and inspire future developments in image processing.

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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