New Fairfield, CT, United States of America

Shivaram Subramanian

This inventor holds 17 USPTO granted patents and 16 published patent applications. Top assignee: International Business Machines Corporation. Active years: 2017-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shivaram Subramanian. Retrieved from https://idiyas.com/inventor/shivaram-subramanian

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

USPTO Granted Patents = 17 

% Patents Active = 64.7

Average Co-Inventor Count = 3.6

ph-index = 3

Forward Citations = 26(Granted Patents)


Location History:

  • Danbury, CT (US) (2020)
  • New Fairfield, CT (US) (2017 - 2021)
  • Frisco, TX (US) (2022)

Company Filing History:


Years Active: 2017-2026

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17 patents (USPTO):Explore Patents

Title: The Innovative Mind of Shivaram Subramanian

Introduction

Shivaram Subramanian is a prominent inventor based in New Fairfield, CT, known for his significant contributions to the field of machine learning. With a total of 11 patents to his name, he has made remarkable strides in predictive modeling and deep learning technologies. His work is characterized by a focus on optimizing machine learning systems to incorporate complex constraints.

Latest Patents

Among his latest patents, one notable invention is the "Loss augmentation for predictive modeling." This machine learning system integrates arbitrary constraints into a deep learning model, enhancing its predictive capabilities. The system provides a set of penalty data points alongside original training data points, assigning penalties to optimize the model based on an objective function that combines original and penalty loss functions.

Another significant patent is the "Split-net configuration for predictive modeling." This innovative system employs a split net configuration to incorporate functional constraints, allowing for the joint optimization of a deep learning model and a wide learning model. The deep learning model consists of an input layer, an output layer, and an intermediate layer, while the wide learning model features only an input and output layer. This dual approach results in a comprehensive machine learning model that leverages both optimization techniques.

Career Highlights

Shivaram Subramanian is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM has allowed him to work on cutting-edge technologies and contribute to advancements in machine learning and artificial intelligence.

Collaborations

Throughout his career, Shivaram has collaborated with talented individuals such as Pavithra Harsha and Markus Ettl. These collaborations have fostered an environment of innovation and creativity, leading to the development of groundbreaking technologies.

Conclusion

Shivaram Subramanian's work in machine learning and predictive modeling exemplifies the spirit of innovation. His patents reflect a deep understanding of complex systems and a commitment to advancing technology. As he continues to push the boundaries of what is possible, his contributions will undoubtedly shape the future of machine learning.

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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