Nalini Kanta Ratha

Yorktown Heights, NY, United States of America

Nalini Kanta Ratha

Average Co-Inventor Count = 3.5

ph-index = 16

Forward Citations = 1,803(Granted Patents)

Forward Citations (Not Self Cited) = 1,685(Sep 21, 2024)

DiyaCoin DiyaCoin 4.62 

Inventors with similar research interests:


Location History:

  • Yorktown Hts., NY (US) (2005)
  • Yorktown Hts, NY (US) (2012 - 2014)
  • Hawthorne, NY (US) (2013 - 2019)
  • White Plains, NY (US) (2000 - 2022)
  • Yorktown Heights, NY (US) (2006 - 2024)


Years Active: 2000-2025

where 'Filed Patents' based on already Granted Patents

101 patents (USPTO):
1 patent (CIPO):

Title: Nalini Kanta Ratha: Innovator Advancing the Field of Computing

Introduction:

Nalini Kanta Ratha, based in Yorktown Heights, NY, is a respected inventor and innovator in the field of computing. With an impressive portfolio of 94 patents, Ratha has made significant contributions to the world of machine learning and artificial intelligence. This article aims to delve into Ratha's latest patents, his notable career highlights, collaborations, and his overall impact on the field of innovation.

Latest Patents:

Ratha's recent patents showcase his ingenuity and expertise in the field. One of his notable patents is titled "Decision tree-based inference on homomorphically-encrypted data without bootstrapping." This innovative method enables homomorphic inference on a decision tree model by using a neural network as a surrogate. The neural network is trained to learn DT decision boundaries, eliminating the need for original DT model data training points. By employing a computationally-efficient shallow neural network, Ratha's method offers an alternative to bootstrapping in HE-based decision tree inferencing.

Another groundbreaking patent by Ratha is "Mitigating false recognition of altered inputs in convolutional neural networks." This invention addresses a common challenge in object recognition by configuring a neural network to suppress an output of a mitigation node during object recognition with altered inputs. By doing so, Ratha's technique prevents false recognition, enhancing the reliability and accuracy of convolutional neural networks.

Career Highlights:

Throughout his career, Ratha has made significant contributions while working for renowned companies. He has held key positions at both International Business Machines Corporation (IBM) and Lenovo Pte. Ltd. These companies provide a rich environment for innovation and cutting-edge research, allowing Ratha to excel in his field.

Collaborations:

Ratha's work is not only marked by individual brilliance but also by fruitful collaborations. Among his notable co-workers is Jonathan Hudson Connell, II, who has played a crucial role in Ratha's research and shared expertise. Additionally, Ratha has collaborated closely with Sharathchandra Pankanti, another esteemed professional in the field, to advance the boundaries of machine learning and artificial intelligence.

Conclusion:

Nalini Kanta Ratha's impressive portfolio of 94 patents and his innovative contributions highlight his unquestionable expertise in the field of computing. Through his groundbreaking methods for homomorphic inference on decision tree models and mitigating false recognition in convolutional neural networks, Ratha has advanced the boundaries of machine learning and artificial intelligence. His collaboration with notable colleagues, along with his tenure at respected companies like IBM and Lenovo, reflect his dedication to driving forward innovation and shaping the future of computing.

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