Rajasekar Krishnamurthy

This inventor holds 19 USPTO granted patents, primarily in Artificial Intelligence. Top assignee: International Business Machines Corporation. Active years: 2006-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rajasekar Krishnamurthy. Retrieved from https://idiyas.com/inventor/rajasekar-krishnamurthy

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

USPTO Granted Patents = 19

% Patents Active = 63.2

Average Co-Inventor Count = 5.1

ph-index = 5

Forward Citations = 116(Granted Patents)

Location History:

Madison, WI (US) (2006)
Mountain View, CA (US) (2011)
Sunnyvale, CA (US) (2009 - 2012)
San Jose, CA (US) (2013 - 2021)
Campbell, CA (US) (2012 - 2024)

Company Filing History:

19 out of 166,409

International Business Machines Corporation

patents

Years Active: 2006-2024

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Areas of Expertise:

Deep Learning

Artificial Intelligence

Text Analytics

Entity Resolution

Predictive Modeling

Data Integration

Document Processing

Machine Learning

Data Annotation

XML Storage

MapReduce

Quality Evaluation

19 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11900070 - Producing explainable rules via deep learning (2024-02-13),

2. 11829496 - Workflow for evaluating quality of artificial intelligence (AI) services using held-out data (2023-11-28),

3. 11429816 - Workflow for evaluating quality of artificial intelligence (AI) services using held-out data (2022-08-30),

4. 11288115 - Error analysis of a predictive model (2022-03-29),

5. 11200413 - Table recognition in portable document format documents (2021-12-14),

6. 10540187 - User-initiated dynamic data application programming interface creation (2020-01-21),

7. 10289963 - Unified text analytics annotator development life cycle combining rule-based and machine learning based techniques (2019-05-14),

8. 10162852 - Constructing concepts from a task specification (2018-12-25),

9. 9996607 - Entity resolution between datasets (2018-06-12),

10. 9971804 - Entity integration using high-level scripting languages (2018-05-15),

11. 9535951 - Entity integration using high-level scripting languages (2017-01-03),

12. 8612368 - Systems and methods for processing machine learning algorithms in a MapReduce environment (2013-12-17),

13. 8548979 - Indexing for regular expressions in text-centric applications (2013-10-01),

14. 8266135 - Indexing for regular expressions in text-centric applications (2012-09-11),

15. 8103705 - System and method for storing text annotations with associated type information in a structured data store (2012-01-24),

Title: Innovations of Rajasekar Krishnamurthy in AI Technologies

Introduction

Rajasekar Krishnamurthy is an accomplished inventor based in Campbell, California, known for his extensive contributions to the field of artificial intelligence and deep learning. With a total of 19 patents to his name, Krishnamurthy has made significant strides in enhancing the performance and quality of AI services.

Latest Patents

Two of his latest patents exemplify his innovative approach. The first, titled "Producing Explainable Rules via Deep Learning," describes a computer-implemented method that involves receiving a plurality of sentences, each associated with a specific label, and training a deep neural network (DNN) using these sentences. This process culminates in the production of a linguistic expression (LE) utilizing the trained DNN.

The second patent, "Workflow for Evaluating Quality of Artificial Intelligence (AI) Services Using Held-Out Data," outlines a method for assessing AI service quality. It involves partitioning data into in-domain and out-of-domain categories and defining held-out data for evaluation purposes. This innovative method includes determining distribution underlying performance metrics for the held-out data through bootstrap validation processing, thus ensuring reliability in AI performance assessments.

Career Highlights

Currently, Krishnamurthy is working with the International Business Machines Corporation (IBM), where he applies his expertise in AI and deep learning to develop cutting-edge technologies. His commitment to innovation is reflected in his portfolio of patents and his contributions to AI research.

Collaborations

Throughout his career, Rajasekar has collaborated with esteemed colleagues such as Shivakumar Vaithyanathan and Prithviraj Sen. These collaborations foster a dynamic environment for innovation and have led to the development of advanced AI methodologies and practices.

Conclusion

Rajasekar Krishnamurthy stands out as a prominent inventor in the realm of artificial intelligence. His pioneering work, evident through his numerous patents, showcases his dedication to improving AI technologies. As the field of AI continues to evolve, contributions from innovators like Krishnamurthy are essential in shaping the future of 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]