Dimitra Emmanouilidou

This inventor holds 3 USPTO granted patents. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dimitra Emmanouilidou. Retrieved from https://idiyas.com/inventor/dimitra-emmanouilidou-bgi7ry7j

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

Calculating rank

USPTO Granted Patents = 3

% Patents Active = 100.0

Average Co-Inventor Count = 8.2

ph-index = 1

Forward Citations = 1(Granted Patents)

Company Filing History:

3 out of 56,279

Microsoft Technology Licensing, LLC

patents

Years Active: 2022-2026

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3 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12533064 - Physiological feedback for predictive models (2026-01-27),

2. 11847261 - Periodic motion-based visual stimulus (2023-12-19),

3. 11409361 - Periodic motion-based visual stimulus (2022-08-09),

Title: Inventor Dimitra Emmanouilidou - Revolutionizing Technology

Introduction: Dimitra Emmanouilidou is a pioneering inventor based in Kirkland, WA, known for her groundbreaking contributions to the field of technology.

Latest Patents: Dimitra Emmanouilidou holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing her innovative approach to solving complex problems.

Career Highlights: With a background in computer science and engineering, Dimitra has worked for top tech companies, leading research institutions, and universities, where she has spearheaded projects that have pushed the boundaries of technological advancements.

Collaborations: Throughout her career, Dimitra has collaborated with renowned experts in the tech industry, forming partnerships that have resulted in cutting-edge inventions and transformative solutions.

Conclusion: Dimitra Emmanouilidou's relentless pursuit of innovation and her passion for technology continue to inspire the next generation of inventors and shape the future of the tech industry.

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]