San Jose, CA, United States of America

Satyendra Tiwari

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Satyendra Tiwari: Innovator in Anomaly Detection Technologies

Introduction

Satyendra Tiwari is a notable inventor based in San Jose, CA (US). He has made significant contributions to the field of technology, particularly in the area of anomaly detection. His innovative approach has led to the development of systems and methods that enhance the reliability of call flow analysis.

Latest Patents

One of Satyendra Tiwari's key patents is titled "Reconstructing execution call flows to detect anomalies." This patent describes systems and methods for reconstructing execution call flows using information extracted from log files. The device established by Tiwari can identify call flows that capture information from various modules. It also counts occurrences of specific keywords within each call flow, generating a vector of numbers based on these counts. This technology classifies call flows into clusters that indicate whether an operation is anomalous, thereby improving the detection of irregularities in system operations.

Career Highlights

Throughout his career, Satyendra Tiwari has focused on enhancing technological processes and systems. His work has been instrumental in advancing methods for analyzing call flows, which are critical in various applications, including telecommunications and software development. His innovative solutions have garnered attention in the tech community.

Collaborations

Satyendra Tiwari has collaborated with notable professionals in his field, including Nikolaos Georgakopoulos and Utkarsh Agarwal. These collaborations have contributed to the development of advanced technologies and have fostered a spirit of innovation in their projects.

Conclusion

Satyendra Tiwari's contributions to anomaly detection technologies exemplify the impact of innovative thinking in the tech industry. His patent on reconstructing execution call flows showcases his commitment to improving system reliability and efficiency.

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