Kolkata, India

Trisrota Deb

This inventor holds 1 USPTO granted patent and 3 published patent applications and 1 EPO patent. Top assignee: Tata Consultancy Services Limited. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Trisrota Deb: Innovator in Adaptive Filter Based Learning Models

Introduction

Trisrota Deb is a notable inventor based in Kolkata, India. He has made significant contributions to the field of sensor signal classification through his innovative patent. His work focuses on developing computationally efficient methods for real-time data processing on edge devices.

Latest Patents

Trisrota Deb holds a patent for an "Adaptive filter based learning model for time series sensor signal classification on edge devices." This patent describes a method and system that enables automated and lightweight learning, significantly reducing the computational resources required for inferring and classifying data in real-time or near-real-time. The adaptive filter model utilizes linear adaptive filtering and derivative spectrum techniques to effectively process input time series sensor signals, making it suitable for devices with constraints on CPU, memory, and battery life. He has 1 patent to his name.

Career Highlights

Trisrota Deb is currently employed at Tata Consultancy Services Limited, where he applies his expertise in developing advanced technological solutions. His work has been instrumental in enhancing the capabilities of edge devices in processing sensor data efficiently.

Collaborations

Some of his coworkers include Arijit Ukil and Arpan Pal, who have collaborated with him on various projects within the company.

Conclusion

Trisrota Deb's innovative approach to adaptive filter based learning models showcases his commitment to advancing technology in sensor signal classification. His contributions are paving the way for more efficient data processing solutions in edge computing environments.

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