Hyderabad Telangana, India

Easwara Naga Subramanian

USPTO Granted Patents = 5 

Average Co-Inventor Count = 4.2

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2018-2024

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5 patents (USPTO):Explore Patents

Title: Innovations of Easwara Naga Subramanian

Introduction

Easwara Naga Subramanian is a prominent inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of technology, particularly in the areas of deep reinforcement learning and time series prediction. With a total of 5 patents to his name, his work continues to influence advancements in various applications.

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 in applications where the action space has a probability simplex structure. The method includes training a reinforcement learning (RL) agent by defining a policy network for learning the optimal policy using a policy gradient (PG) method. The policy network comprises an artificial neural network (ANN) with a set of outputs. A continuous action space with a continuous probability simplex structure is defined. The learning of the optimal policy is updated based on either stochastic or deterministic PG methods.

Another notable 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 (RMDN), such as sparse LSTM-MDN and a sparse ED-MDN. This innovation allows for accurate forecasting of high variability time series. The disclosed sparse RMDN can handle high-dimensional input features, capture trend shifts, and provide confidence estimates of the forecast.

Career Highlights

Easwara Naga Subramanian is currently employed at Tata Consultancy Services Limited, where he applies his expertise in machine learning and data analysis. His work has been instrumental in developing innovative solutions that enhance operational efficiency and predictive accuracy in various sectors.

Collaborations

Some of his notable coworkers include Sanjay Purushottam Bhat and Avinash Achar, who collaborate with him on various projects and research initiatives.

Conclusion

Easwara Naga Subramanian's contributions to technology through his patents and work at Tata Consultancy Services Limited highlight his role as an influential inventor in the field. His innovative approaches to deep reinforcement learning and time series prediction continue to pave the way for future advancements.

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