White Plains, NY, United States of America

Mandis S Beigi


Average Co-Inventor Count = 4.5

ph-index = 2

Forward Citations = 45(Granted Patents)


Location History:

  • Tarrytown, NY (US) (2004 - 2012)
  • White Plains, NY (US) (2011 - 2024)

Company Filing History:


Years Active: 2004-2025

where 'Filed Patents' based on already Granted Patents

12 patents (USPTO):

Title: A Look into the Innovations of Mandis S Beigi

Introduction

Mandis S Beigi, an accomplished inventor based in White Plains, NY, has made significant contributions to the field of technology with a notable portfolio of 12 patents. His work encompasses innovative systems and methods that push the boundaries of object tracking and data synthesis.

Latest Patents

Mandis's latest patents illustrate his expertise in addressing complex challenges. One such patent is a "System and method for multiple object tracking," which focuses on tracking several objects by processing input data, predicting frames, and correcting outcomes. Additionally, he has developed a "System and method for generating a synthetic longitudinal dataset from an original dataset." This innovation involves identifying subsequence patterns in patient event records and using these patterns to create synthetic datasets through iterative modifications of seed records.

Career Highlights

Throughout his career, Mandis has been associated with prominent companies such as IBM and Medidata Solutions, Inc. His experience in these leading organizations not only highlights his technical skills but also reflects his ability to collaborate on impactful projects.

Collaborations

Mandis has collaborated with talented professionals like Dinesh C Verma and Seraphin Bernard Calo. Their collective expertise has undoubtedly contributed to the success of their projects and further advanced innovations in their respective fields.

Conclusion

Mandis S Beigi stands out as a pioneering inventor with a strong record of patent development and collaboration within the tech industry. His innovative contributions continue to shape the future of technology, particularly in object tracking and data generation methodologies.

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