Chennai, India

Srinarayana Nagarathinam

This inventor holds 13 USPTO granted patents and 2 published patent applications and 10 EPO patents. Top assignee: Tata Consultancy Services Limited. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Srinarayana Nagarathinam. Retrieved from https://idiyas.com/inventor/srinarayana-nagarathinam

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 13 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.7

ph-index = 1

Forward Citations = 12(Granted Patents)


Location History:

  • Chennai, IN (2019 - 2023)
  • Tamil Nadu, IN (2023)

Company Filing History:


Years Active: 2019-2026

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13 patents (USPTO):Explore Patents

Title: Innovations of Srinarayana Nagarathinam

Introduction

Srinarayana Nagarathinam is a prominent inventor based in Chennai, India. He has made significant contributions to the field of HVAC control systems, holding a total of 10 patents. His work focuses on optimizing energy efficiency and thermal comfort in buildings through advanced technologies.

Latest Patents

One of his latest patents is titled "Optimized HVAC control using domain knowledge combined with deep reinforcement learning (DRL)." This invention addresses the challenges of supervisory control in HVAC systems, which are crucial for maintaining energy-efficient thermal comfort. The control logic traditionally relies on 'if-then-that-else' rules, which can lead to conflicts and sub-optimal performance. Nagarathinam's system utilizes DRL for conflict resolution, integrating domain knowledge through an Expressive Decision Tables (EDT) engine to enhance HVAC control.

Another notable patent is "Multi-agent deep reinforcement learning for dynamically controlling electrical equipment in buildings." This invention provides a solution for controlling electrical equipment in real-world buildings while considering comfort constraints. The system generates a simulation model based on the design specifications of controllable electrical equipment and the building itself. Each reinforcement learning agent is trained using this model, allowing for the optimization of control parameters and improving the performance of subsystems.

Career Highlights

Srinarayana Nagarathinam is currently employed at Tata Consultancy Services Limited, where he continues to innovate in the field of HVAC systems and energy management. His expertise in deep reinforcement learning and HVAC control has positioned him as a leader in this domain.

Collaborations

He has collaborated with notable coworkers such as Anand Sivasubramaniam and Arunchandar Vasan, contributing to the advancement of technologies in HVAC and energy efficiency.

Conclusion

Srinarayana Nagarathinam's work exemplifies the intersection of innovation and practical application in HVAC systems. His patents reflect a commitment to enhancing energy efficiency and comfort in buildings through advanced technologies. His contributions are paving the way for smarter and more efficient building management systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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