Chapel Hill, NC, United States of America

Anatassios Markas

This inventor holds 1 USPTO granted patent. Top assignee: Lenovo (Singapore) Pte. Ltd.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anatassios Markas. Retrieved from https://idiyas.com/inventor/anatassios-markas

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Anatassios Markas

Introduction

Anatassios Markas is a notable inventor based in Chapel Hill, NC (US). He has made significant contributions to the field of electronic communications through his innovative patent. His work focuses on enhancing the efficiency of message classification using advanced machine learning techniques.

Latest Patents

Anatassios holds a patent for the "Automatic classification of messages based on keywords." This invention utilizes a machine learning algorithm to analyze electronic communications and keywords. The algorithm generates similarity measures that indicate how closely the communications relate to the keywords. By clustering communications based on these measures, the system effectively filters out false positives and incorporates false negatives, improving the accuracy of message classification.

Career Highlights

Anatassios is currently employed at Lenovo (Singapore) Pte. Ltd., where he continues to develop innovative solutions in technology. His expertise in machine learning and electronic communications has positioned him as a valuable asset in his field.

Collaborations

Anatassios has collaborated with talented individuals such as Noritoshi Yoshiyama and Ojuro Yokoyama. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Anatassios Markas exemplifies the spirit of innovation through his work in electronic communications and machine learning. His contributions are paving the way for more efficient communication systems in the digital age.

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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