Bengaluru, India

Mohan Nagraj Dani

USPTO Granted Patents = 9 

Average Co-Inventor Count = 3.9

ph-index = 2

Forward Citations = 9(Granted Patents)


Location History:

  • Chamarajpet Bangalore, IN (2016 - 2019)
  • Bengaluru, IN (2014 - 2023)

Company Filing History:


Years Active: 2014-2025

where 'Filed Patents' based on already Granted Patents

9 patents (USPTO):

Title: Mohan Nagraj Dani: Innovator in Machine Learning and Asset Assessment

Introduction

Mohan Nagraj Dani is a prominent inventor based in Bengaluru, India. He has made significant contributions to the fields of machine learning and asset assessment, holding a total of nine patents. His innovative work focuses on enhancing data processing and risk evaluation through advanced methodologies.

Latest Patents

One of his latest patents is titled "System and method to capture data transitions and select optimal data intensive machine learning model." This invention involves a computer-implemented system and method for capturing data transitions and selecting machine learning models. It includes providing a machine learning model trained with a previous training data set, receiving a new data set, and comparing the new data set to the previous one. The system identifies and records new, removed, and/or changed attributes in the new data set. Additionally, it generates future possible data state transitions and an implication tree based on the present data state. Performance metrics of each node in the implication tree are clustered, and nodes demonstrating high variance may be discarded. Reachability scores for the remaining nodes are calculated, leading to the selection of a node representing a machine learning model to run based on its reachability score.

Another notable patent is "Asset assessment via graphical encoding of liability." This invention identifies a plurality of liability factors impacting the total liability of an asset. Each liability factor is assigned a magnitude according to a predetermined scale, which is then graphically encoded into a liability image for the asset. A risk score is determined by analyzing historical correlations between the magnitudes of the liability factors using image recognition techniques on the liability image.

Career Highlights

Mohan has worked with renowned companies, including IBM, where he has honed his skills in technology and innovation. His experience at such prestigious organizations has contributed to his expertise in developing cutting-edge solutions.

Collaborations

Throughout his career, Mohan has collaborated with talented individuals such as Girish Venkatachaliah and Anuj Gupta. These collaborations have fostered a creative environment that has led to the development of impactful inventions.

Conclusion

Mohan Nagraj Dani is a distinguished inventor whose work in machine learning and asset assessment continues to influence the industry. His innovative patents reflect his commitment to advancing technology and improving data processing methodologies.

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