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For the Inventor, By the Inventor

Austin, TX, United States of America

Fadi Hikmat Gebara

This inventor holds 47 USPTO granted patents and 2 published patent applications, primarily in Document Retrieval. Top assignee: International Business Machines Corporation. Active years: 2006-2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fadi Hikmat Gebara. Retrieved from https://idiyas.com/inventor/fadi-hikmat-gebara

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

USPTO Granted Patents = 47 

% Patents Active = 17.0

Average Co-Inventor Count = 3.5

ph-index = 8

Forward Citations = 606(Granted Patents)


Location History:

  • Macomb, MI (US) (2006)
  • Austin, TX (US) (2006 - 2018)

Company Filing History:

goldMedal47 out of 166,325 
 
International Business Machines Corporation
 patents

Years Active: 2006-2018

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Areas of Expertise:
Document Tagging
Entity Specifiers
Internal Dictionary-Hierarchies
Memory System
Spiral Cache
Device Fingerprint Generation
Static Random Access Memory
Charge Pumps
Signal Jitter
Data Signal Measurement
Digital Frequency Multiplier
Systolic Networks
47 patents (USPTO):Explore Patents
1. 9971828 - Document tagging and retrieval using per-subject dictionaries including subject-determining-power scores for entries (2018-05-15),
2. 9971782 - Document tagging and retrieval using entity specifiers (2018-05-15),
3. 9430559 - Document retrieval using internal dictionary-hierarchies to adjust per-subject match results (2016-08-30),
4. 9262510 - Document tagging and retrieval using per-subject dictionaries including subject-determining-power scores for entries (2016-02-16),
5. 9251136 - Document tagging and retrieval using entity specifiers (2016-02-02),
6. 9235638 - Document retrieval using internal dictionary-hierarchies to adjust per-subject match results (2016-01-12),
7. 9009415 - Memory system including a spiral cache (2015-04-14),
8. 8880954 - Temperature-profiled device fingerprint generation and authentication from power-up states of static cells (2014-11-04),
9. 8676516 - Test circuit for bias temperature instability recovery measurements (2014-03-18),
10. 8543768 - Memory system including a spiral cache (2013-09-24),
11. 8539185 - Systolic networks for a spiral cache (2013-09-17),
12. 8495431 - Temperature-profiled device fingerprint generation and authentication from power-up states of static cells (2013-07-23),
13. 8405129 - Structure for high density stable static random access memory (2013-03-26),
14. 8229683 - Test circuit for bias temperature instability recovery measurements (2012-07-24),
15. 8219857 - Temperature-profiled device fingerprint generation and authentication from power-up states of static cells (2012-07-10),

Title: Innovator Spotlight: Fadi Hikmat Gebara

Introduction

Fadi Hikmat Gebara is an accomplished inventor based in Austin, TX. With a remarkable portfolio of 47 patents, he has made significant contributions to the field of big data management and document retrieval systems. His innovations reflect a commitment to enhancing the efficiency and accuracy of information processing in various applications.

Latest Patents

Fadi's latest patents focus on document tagging and retrieval using entity specifiers. One patent describes techniques for managing big data that involve tagging documents and retrieving them based on per-subject dictionaries. These dictionaries include entries that may be specifically designated as entities, offering unique insights into terms that hold special meaning, such as brands, trade names, and geographic identifiers. The inclusion of subject-determining-power scores in these entries provides a measure of the term's descriptive power concerning the dictionary's subject. This innovative approach enhances document tagging and retrieval processes, enabling more effective information access.

A closely related patent elaborates on the same techniques, emphasizing the importance of subject-determining-power scores in identifying candidate documents for retrieval requests. By processing search terms through these multiple dictionaries, Fadi's methods enable the selection of relevant documents based on their subjects, showcasing his expertise in the field.

Career Highlights

Fadi Hikmat Gebara currently works with the esteemed International Business Machines Corporation (IBM). His role at IBM allows him to leverage his expertise in developing cutting-edge solutions that address industry challenges related to big data and information systems. Through years of dedicated work, he has established himself as a key figure in the tech community, gaining recognition for his innovative spirit.

Collaborations

Throughout his career, Fadi has collaborated with talented professionals, including Jeremy Daniel Schaub and Jente Benedict Kuang. These collaborations have contributed to the development of groundbreaking technologies and have further enriched his innovative endeavors.

Conclusion

Fadi Hikmat Gebara exemplifies the spirit of innovation through his extensive patent portfolio and contributions to big data management. His latest inventions illustrate the transformative potential of efficient document retrieval systems, helping organizations better manage and utilize their data. As he continues his work at IBM, Fadi remains a pivotal player in the world of technology and innovation.

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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