Hyderabad Telangana, India

Sanjay Purushottam Bhat

USPTO Granted Patents = 4 

Average Co-Inventor Count = 4.6

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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4 patents (USPTO):Explore Patents

Title: Innovations of Sanjay Purushottam Bhat

Introduction

Sanjay Purushottam Bhat is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of technology, particularly in the areas of reinforcement learning and time series prediction. With a total of 4 patents to his name, Bhat continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Optimal policy learning and recommendation for distribution task using deep reinforcement learning model." This disclosure relates to a method and system for optimal policy learning and recommendation for distribution tasks using a deep reinforcement learning model, particularly in applications where the action space has a probability simplex structure. The method includes training a reinforcement learning agent by defining a policy network for learning the optimal policy using a policy gradient method. The policy network comprises an artificial neural network with a set of outputs, and it defines a continuous action space with a continuous probability simplex structure.

Another significant patent is "Time series prediction with confidence estimates using sparse recurrent mixture density networks." This disclosure relates to a system and method for time series prediction using a sparse recurrent mixture density network, such as sparse LSTM-MDN and sparse ED-MDN, for accurate forecasting of high variability time series. The disclosed sparse recurrent mixture density network can handle high-dimensional input features, capture trend shifts, and provide confidence estimates of the forecast.

Career Highlights

Sanjay Bhat is currently employed at Tata Consultancy Services Limited, where he applies his expertise in machine learning and data analysis. His work focuses on developing innovative solutions that enhance predictive capabilities and optimize decision-making processes.

Collaborations

He collaborates with talented individuals such as Easwara Naga Subramanian and Avinash Achar, contributing to a dynamic and innovative work environment.

Conclusion

Sanjay Purushottam Bhat is a distinguished inventor whose work in deep reinforcement learning and time series prediction has made a significant impact in the technology sector. His contributions continue to inspire advancements in machine learning and data analysis.

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