San Jose, CA, United States of America

Lucian Popa

USPTO Granted Patents = 22 

Average Co-Inventor Count = 4.1

ph-index = 5

Forward Citations = 100(Granted Patents)


Location History:

  • Morgan Hill, CA (US) (2006 - 2009)
  • San Jose, CA (US) (2009 - 2024)

Company Filing History:


Years Active: 2006-2025

where 'Filed Patents' based on already Granted Patents

22 patents (USPTO):

Title: **Lucian Popa: Innovator in Entity Resolution Technology**

Introduction

Lucian Popa, based in San Jose, CA, is a prominent inventor specializing in innovative technologies that enhance data processing capabilities. With a total of 20 patents, Lucian has made significant contributions to the field of entity resolution through his work at International Business Machines Corporation (IBM).

Latest Patents

Lucian's latest patents showcase his expertise in low-resource entity resolution and machine learning methodologies. One of his notable inventions is a method for low-resource entity resolution with transfer learning. This approach involves processing both labeled and unlabeled input data through an entity resolution model, identifying segments of unlabeled data for training a neural network, and utilizing deep learning techniques for performing entity resolution tasks across various datasets.

Another significant patent focuses on the discovery of linkage points between data sources. This invention provides a system for linking data records across multiple datasets by comparing attribute values and identifying matching attributes that meet a specified similarity threshold. The method allows for efficient linkage of data records associated with common entities, thus enhancing data integration across varied sources.

Career Highlights

Throughout his career, Lucian has not only demonstrated technical proficiency but has also played a vital role in advancing data resolution technologies within IBM. His 20 patents reflect a deep commitment to innovation and excellence in the tech industry.

Collaborations

Lucian collaborates with talented peers, including Mauricio Antonio Hernandez-Sherrington and Ching-Tien Ho, to push the boundaries of data science and machine learning. These collaborations contribute to groundbreaking solutions that address complex data challenges.

Conclusion

Lucian Popa's contributions to the field of entity resolution and data processing stand as a testament to his innovative spirit and technical skill. His work continues to impact how organizations understand and utilize data in a rapidly changing technological landscape.

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