Laurel, MD, United States of America

Saqib M Khan

This inventor holds 1 USPTO granted patent. Top assignee: Bank of America Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Saqib M Khan. Retrieved from https://idiyas.com/inventor/saqib-m-khan

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Saqib M Khan: Innovator in Anomaly Detection Systems

Introduction

Saqib M Khan is a notable inventor based in Laurel, MD (US). He has made significant contributions to the field of data analysis and network management. His innovative work focuses on identifying and resolving anomalous data within distributed networks.

Latest Patents

Saqib holds a patent for a system, methods, and apparatuses designed for identifying and resolving anomalous data within a distributed network. The patent describes a comprehensive approach to detect events that include anomalies, identify associated applications, and apply data to a centralized platform. The system is capable of initiating real-time snapshot processes and comparing extracted key values to expected values, thereby identifying and resolving anomalies effectively.

Career Highlights

Saqib M Khan is currently employed at Bank of America Corporation, where he applies his expertise in data systems and network management. His work contributes to enhancing the reliability and efficiency of data processing within the organization.

Collaborations

Saqib collaborates with Naga Vamsi Krishna Akkapeddi, working together to advance their projects and innovations in the field of data analysis.

Conclusion

Saqib M Khan's contributions to anomaly detection systems highlight his role as an innovative inventor in the technology sector. His patent and work at Bank of America Corporation demonstrate his commitment to improving data management and network reliability.

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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