Thiruvananthapuram, India

Ravindran Subbiah

This inventor holds 3 USPTO granted patents and 3 published patent applications. Top assignee: Tata Consultancy Services Limited. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ravindran Subbiah. Retrieved from https://idiyas.com/inventor/ravindran-subbiah

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

Calculating rank
USPTO Granted Patents = 3 

% Patents Active = 33.3

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2026

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3 patents (USPTO):Explore Patents

Title: Innovations by Ravindran Subbiah

Introduction

Ravindran Subbiah is a notable inventor based in Thiruvananthapuram, India. He has made significant contributions to the field of artificial intelligence and model optimization. With a total of 3 patents to his name, his work focuses on enhancing the efficiency and transparency of AI models.

Latest Patents

One of his latest patents is titled "Method and system for two-step hierarchical model optimization." This innovation addresses the limitations of existing approaches that rely on Pruning-weight Clustering-Quantization (PCQ) or Knowledge Distillation (KD) for model optimization. The method introduces a two-step hierarchical model optimization approach that automates the process, reducing the need for manual intervention. It employs an AutoPCQ technique that formulates the configuration selection of the deep learning model as an optimization problem, utilizing Bayesian optimization and Reinforcement Learning. Additionally, the automated KD technique formulates the search for a student model as an optimization problem, ensuring time efficiency without compromising accuracy.

Another significant patent by Ravindran is "Method and system for generating contextual explanation for model predictions." This invention aims to provide human-understandable explanations for AI-based models, which are essential for building trust and transparency. The method generates contextual explanations based on user queries and the output from AI models. It ensures that the explanations are relevant to the stakeholders and communicated in an understandable manner.

Career Highlights

Ravindran Subbiah is currently employed at Tata Consultancy Services Limited, where he continues to innovate and contribute to advancements in AI technology. His work has garnered attention for its practical applications and effectiveness in real-world scenarios.

Collaborations

Ravindran has collaborated with talented professionals such as Amit Kalele and Anubhav Jain, enhancing the impact of his innovations through teamwork and shared expertise.

Conclusion

Ravindran Subbiah's contributions to the field of artificial intelligence and model optimization are noteworthy. His patents reflect a commitment to improving the efficiency and transparency of AI systems. Through his work at Tata Consultancy Services Limited, he continues to push the boundaries of innovation in technology.

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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