Austin, TX, United States of America

Salil Ahuja

USPTO Granted Patents = 9 

Average Co-Inventor Count = 4.8

ph-index = 2

Forward Citations = 12(Granted Patents)


Location History:

  • Austin, TX (US) (2016 - 2020)
  • Victoria, AU (2021)
  • Madison, WI (US) (2022)
  • Washington, DC (US) (2023 - 2024)

Company Filing History:


Years Active: 2016-2025

where 'Filed Patents' based on already Granted Patents

9 patents (USPTO):

Title: Salil Ahuja: Innovator in Anomaly Detection and Performance Monitoring

Introduction

Salil Ahuja is a prominent inventor based in Austin, TX, known for his contributions to the field of anomaly detection and performance monitoring. With a total of 9 patents to his name, Ahuja has made significant strides in improving IT environments through innovative solutions.

Latest Patents

Among his latest patents, Ahuja has developed a method for performance monitoring in the anomaly detection domain for IT environments. This approach retrieves current system data and outputs from an anomaly detection model, which are then processed by a trained anomaly detection supervisor model. The model provides performance data that helps adjust the anomaly detection model when its performance falls below a certain threshold. Another notable patent is for automatic ground truth selection, which involves extracting features from text units and generating scores to select ground truth candidates. This method enhances the accuracy of ground truth repositories.

Career Highlights

Salil Ahuja is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and contribute to the field of technology. His work focuses on enhancing the capabilities of anomaly detection systems, making them more efficient and reliable.

Collaborations

Ahuja has collaborated with notable colleagues, including Scott Harlan Isensee and Scott M Lewis, further enriching his work and expanding the impact of his inventions.

Conclusion

Salil Ahuja's contributions to the field of anomaly detection and performance monitoring demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of technology and its applications in real-world scenarios.

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