Troy, MI, United States of America

Muralikrishnan Kailasam

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Gm Global Technolgoy Operations, Inc.. Active years: 2019-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Muralikrishnan Kailasam. Retrieved from https://idiyas.com/inventor/muralikrishnan-kailasam

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

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 4.4

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2019-2023

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2 patents (USPTO):Explore Patents

Title: Inventor Muralikrishnan Kailasam

Introduction: Muralikrishnan Kailasam is a renowned inventor based in Troy, Michigan, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Muralikrishnan Kailasam holds several patents in the areas of artificial intelligence, machine learning, and automotive technology, showcasing his expertise and forward-thinking approach to invention.

Career Highlights: With a career spanning over two decades, Muralikrishnan Kailasam has worked with leading tech companies, spearheading research and development projects that have resulted in cutting-edge inventions and solutions.

Collaborations: Throughout his career, Muralikrishnan Kailasam has collaborated with top researchers, engineers, and scientists, fostering a culture of innovation and creativity that has led to successful patent applications and groundbreaking technologies.

Conclusion: Muralikrishnan Kailasam's passion for innovation and his dedication to pushing the boundaries of technology make him a standout figure in the world of inventors, with a legacy that continues to inspire future generations of innovators.

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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