Rajasthan, India

Nishesh Rai

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Oracle International Corporation. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nishesh Rai. Retrieved from https://idiyas.com/inventor/nishesh-rai

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations by Nishesh Rai in Anomaly Detection

Introduction

Nishesh Rai is an accomplished inventor based in Rajasthan, India. He has made significant contributions to the field of machine learning, particularly in the area of anomaly detection within signaling system networks.

Latest Patents

Nishesh Rai holds a patent for "Anomaly detection in SS7 control network using reconstructive neural networks." This invention utilizes machine learning techniques for unsupervised training with a diverse corpus of signaling system 7 (SS7) messages. The patent addresses the complexities of various called and calling parties, operation codes, transaction types, and mobile country codes. The method involves storing SS7 messages that are not labeled as anomalous or non-anomalous and using feature vectors to train a machine learning model, such as an autoencoder, to detect anomalies.

Career Highlights

Nishesh Rai is currently employed at Oracle International Corporation, where he continues to innovate and develop advanced technologies. His work focuses on enhancing the security and reliability of communication networks through his patented techniques.

Collaborations

Nishesh collaborates with talented professionals in his field, including Hamed Ahmadi and Ali Moharrer. Their combined expertise contributes to the advancement of technology and innovation at Oracle.

Conclusion

Nishesh Rai's work in anomaly detection showcases his commitment to leveraging machine learning for improving network security. His contributions are significant in the realm of telecommunications and continue to influence the industry.

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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