Tempe, AZ, United States of America

Parag Shridhar Chandakkar

This inventor holds 1 USPTO granted patent. Top assignee: Arizona State University. Active years: 2017.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Parag Shridhar Chandakkar. Retrieved from https://idiyas.com/inventor/parag-shridhar-chandakkar

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Parag Shridhar Chandakkar: Innovator in Photo Enhancement Technology

Introduction

Parag Shridhar Chandakkar is a notable inventor based in Tempe, AZ (US). He has made significant contributions to the field of photo enhancement technology. His innovative approach focuses on improving image quality through advanced algorithms and techniques.

Latest Patents

Chandakkar holds a patent for "Systems and methods for a content-adaptive photo-enhancement recommender." This patent describes systems and methods that produce multiple enhanced images based on content and color layout parameters derived from related high-quality images. In some embodiments, a user-uploaded image is enhanced based on parameters learned from high-quality images similar in content to the user-uploaded image, utilizing content-based image retrieval techniques. He has 1 patent to his name.

Career Highlights

Chandakkar is affiliated with Arizona State University, where he continues to explore and develop innovative solutions in the realm of image processing. His work has garnered attention for its practical applications in enhancing user-generated content.

Collaborations

Some of his notable coworkers include Baoxin Li and Qiongjie Tian, who contribute to the collaborative research environment at Arizona State University.

Conclusion

Parag Shridhar Chandakkar is a pioneering inventor whose work in photo enhancement technology is shaping the future of image processing. His contributions are valuable to both academic and practical applications in the field.

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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