Kolkata, India

Anish Datta

This inventor holds 4 USPTO granted patents and 3 published patent applications and 3 EPO patents. Top assignee: Tata Consultancy Services Limited. Active years: 2023-2026.

USPTO Granted Patents = 4 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.2

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2026

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4 patents (USPTO):Explore Patents

Title: Innovations of Anish Datta: Pioneering Time-Series Classification and Clustering

Introduction: Anish Datta, an accomplished inventor based in Kolkata, India, has made significant contributions to the field of time-series data analysis. With a total of two patents to his name, his work focuses on enhancing the efficiency and accuracy of data classification and clustering methods.

Latest Patents: Anish's latest patents include a method and system for label generation for time-series classification, which addresses the shortcomings of conventional methods that require large amounts of annotated data. His innovative approach utilizes a small subset of representative data to generate accurate labels for time-series data. The system includes generating synthetic time-series data and refining the generated labels using label quality checker models.

Additionally, he holds a patent for a method and system for hierarchical time-series clustering with Auto Encoded Compact Sequences (AECS). This invention streamlines the time-consuming process of hierarchical clustering by employing an undercomplete multilayered Seq2Seq LSTM auto encoder to produce compact latent representations, allowing for efficient clustering across univariate and multivariate time-series data.

Career Highlights: Anish Datta is currently associated with Tata Consultancy Services Limited, where he applies his expertise in data science and machine learning to solve complex challenges related to time-series analysis. His innovative methodologies have positioned him as a noteworthy figure in the field.

Collaborations: Throughout his career, Anish has collaborated with several talented professionals, including Soma Bandyopadhyay and Arpan Pal. Together, they contribute significantly to advancements in their respective areas, pushing the boundaries of what is possible in time-series analysis.

Conclusion: Anish Datta stands out as a prominent inventor in the realm of time-series classification and clustering. His innovative solutions address critical challenges in data analysis, paving the way for more efficient and precise methodologies. With his ongoing contributions in collaboration with industry leaders, Anish is sure to continue making impactful advancements in the field.

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