Karnataka, India

Subrata Mitra

USPTO Granted Patents = 16 

Average Co-Inventor Count = 4.7

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Whitefield, IN (2023)
  • Bengaluru, IN (2021 - 2024)
  • Karnataka, IN (2021 - 2024)

Company Filing History:


Years Active: 2021-2025

where 'Filed Patents' based on already Granted Patents

16 patents (USPTO):

Title: Subrata Mitra: Innovator in Data Visualization and Machine Learning

Introduction

Subrata Mitra is a prominent inventor based in Karnataka, India, known for his significant contributions to the fields of data visualization and machine learning. With a total of 16 patents to his name, he has made remarkable strides in enhancing how data is interpreted and visualized.

Latest Patents

One of Subrata Mitra's latest patents involves using reinforcement learning to recommend data visualizations. This innovative method provides systems for determining statistical features for each sample of a dataset by applying it to a data visualization recommendation model. The computational cost of these features is assessed through a regression model, allowing for efficient recommendations based on a computational budget. Another notable patent focuses on relating data in data lakes. In this patent, a dataset comprising tables is received, and embeddings for column titles are generated. Similar tables are clustered based on statistical similarities, and a relatedness graph is created to represent these similarities visually.

Career Highlights

Subrata Mitra currently works at Adobe Inc., where he continues to push the boundaries of technology in data visualization. His work has not only advanced the field but has also provided practical solutions for businesses and researchers alike.

Collaborations

Throughout his career, Subrata has collaborated with talented individuals such as Sunav Choudhary and Nikhil Sheoran, contributing to a dynamic and innovative work environment.

Conclusion

Subrata Mitra's contributions to data visualization and machine learning exemplify the impact of innovative thinking in technology. His patents reflect a deep understanding of complex data systems and a commitment to improving how we visualize and interpret data.

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