Los Angeles, CA, United States of America

Rashmi N Sundareswara

This inventor holds 20 USPTO granted patents and 2 published patent applications and 4 EPO patents, primarily in Fault Detection Systems. Top assignees: The Boeing Company, Hrl Laboratories, LLC, Gm Global Technolgoy Operations, Inc.. Active years: 2014-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rashmi N Sundareswara. Retrieved from https://idiyas.com/inventor/rashmi-n-sundareswara

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

Calculating rank
USPTO Granted Patents = 20 

% Patents Active = 70.0

 

Average Co-Inventor Count = 3.5

ph-index = 8

Forward Citations = 243(Granted Patents)


Location History:

  • Los Angeles, CA (US) (2014 - 2020)
  • Topanga, WA (US) (2021)
  • Topanga, CA (US) (2019 - 2024)

Company Filing History:


Years Active: 2014-2026

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Areas of Expertise:
Composite Material Manufacturing
Data Analytics
Repair Prediction
Causal Feature Display
Fault Prediction
Bayesian Framework
Sensor Data Analysis
Aircraft Systems
Object Localization
Visual Intelligence
Robotic Perception
Three-Dimensional Recognition
20 patents (USPTO):Explore Patents

Title: Innovations by Rashmi N Sundareswara

Introduction

Rashmi N Sundareswara, an accomplished inventor based in Los Angeles, CA, has made significant contributions in the field of technology, boasting a remarkable 20 patents. His innovations primarily focus on automated systems that enhance efficiency through advanced data processing and analysis.

Latest Patents

Among his latest patents, two noteworthy inventions stand out:

1. **Automated Prediction of Repair Based on Sensor Data**: This invention includes an apparatus with memory to store computer-readable program code for a knowledge-based system. The system is equipped with an inference engine and a knowledge base, designed to analyze sensor data collected from machines during their operation. By clustering time series measurements, it identifies operational patterns and suggests appropriate repair actions based on historical problem states.

2. **Decision Recommendation via Causal Feature Display**: This system generates decision recommendations by analyzing historical observations and corresponding action courses. It estimates conditional densities and clusters observations to create causal partitions linked to various actions. The system effectively ranks actionable courses for new observations, providing a visual representation to aid decision-making.

Career Highlights

Rashmi has lent his expertise to esteemed organizations, including The Boeing Company and HRL Laboratories, LLC. His work at these institutions illustrates his versatility and capacity to innovate across different sectors.

Collaborations

Throughout his career, Rashmi has collaborated with notable professionals such as Tsai-Ching Lu and Franz David Betz, further enhancing the dynamic nature of his research and developments.

Conclusion

Rashmi N Sundareswara exemplifies innovation through his patents, particularly in automation and decision-making systems. His contributions not only resolve complex technical challenges but also propel advancements in the industry. With numerous patents under his belt, his work continues to influence the landscape of technological innovation.

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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