New Castle, NY, United States of America

Dinesh C Verma

Average Co-Inventor Count = 3.7

ph-index = 26

Forward Citations = 2,630(Granted Patents)

Forward Citations (Not Self Cited) = 2,520(Sep 21, 2024)

DiyaCoin DiyaCoin 6.55 

Inventors with similar research interests:


Location History:

  • Ossining, NY (US) (1998 - 2003)
  • Millwood, NY (US) (2000 - 2010)
  • Hawthorne, NY (US) (2012)
  • Mt. Kisco, NY (US) (2013)
  • Mount Kisco, NY (US) (2005 - 2020)
  • New Castle, NY (US) (2008 - 2024)
  • Yorktown Heights, NY (US) (2014 - 2024)


Years Active: 1998-2025

where 'Filed Patents' based on already Granted Patents

244 patents (USPTO):
2 patents (CIPO):

Title: Dinesh C Verma: Innovator Extraordinaire in Data Mining and Distributed Learning

Introduction:

Dinesh C Verma is a renowned inventor and innovator based in New Castle, NY, who has made significant contributions in the fields of data mining and distributed learning. With an extensive portfolio of 222 patents, Verma has demonstrated his expertise and passion for solving complex problems in these areas. This article explores his latest patents, career highlights, collaborations, and underscores his lasting impact on the industry.

Latest Patents:

Verma's latest patents showcase his groundbreaking work in data mining and distributed learning. One of his notable patents is titled "System, method, and recording medium for data mining between private and public domains." This patent presents a unique method that enables clustering users' private records within a specified domain and then matches them with a subset of users' public records from a common public domain. This approach allows for focused data mining from the public domain while preserving privacy.

Another remarkable patent is "Distributed learning using ensemble-based fusion." This invention revolutionizes collaborative learning by employing fusion-based techniques across multiple system nodes. By training artificial intelligence models at each node and exchanging data based on data statistics, Verma's method facilitates effective coordination and control. The result is a fused artificial intelligence model that utilizes contributions from all nodes, enhancing learning accuracy and efficiency.

Career Highlights:

Throughout his remarkable career, Dinesh C Verma has made notable contributions to leading organizations, including IBM (International Business Machines Corporation) and Philips Electronics North America Corporation. His tenures at these esteemed companies allowed him to work on cutting-edge projects, where he applied his expertise in data mining and distributed learning to solve real-world challenges.

Collaborations:

Verma's innovative mindset and commitment to collaboration are evident in his work with esteemed colleagues, such as Seraphin Bernard Calo and Dakshi Agrawal. Collaborating with like-minded individuals allowed Verma to broaden his horizons, exchange ideas, and push the boundaries of innovation even further. His collaborations have undoubtedly had a profound impact on the industry and have fostered a culture of knowledge sharing and teamwork.

Conclusion:

Dinesh C Verma's extensive patent portfolio and significant contributions to the fields of data mining and distributed learning solidify his position as an innovator extraordinaire. His latest patents in the realm of data mining and distributed learning demonstrate his ability to tackle complex problems and develop practical solutions. Through his career at renowned organizations and collaborations with talented individuals, Verma has helped shape the landscape of innovation in these domains. With his relentless pursuit of excellence, Dinesh C Verma continues to inspire future generations of inventors and pioneers in the field.

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