Birmingham, United Kingdom

Shazia Jamil Kayani

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shazia Jamil Kayani. Retrieved from https://idiyas.com/inventor/shazia-jamil-kayani

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Shazia Jamil Kayani: Innovator in Machine Learning Event Monitoring

Introduction

Shazia Jamil Kayani is a prominent inventor based in Birmingham, GB. She has made significant contributions to the field of machine learning, particularly in event monitoring systems. Her innovative approach combines computer hardware and software to enhance the efficiency of event management.

Latest Patents

Shazia holds a patent for a machine learning-based event monitoring system. This technology performs several key operations, including identifying rules for relating events, determining an event window with a set of related events, classifying the event window as actionable using a machine learning model, and creating an event ticket for the event window in the monitoring system. This patent showcases her expertise in integrating machine learning with practical applications.

Career Highlights

Shazia is currently employed at International Business Machines Corporation, commonly known as IBM. Her role involves leveraging her skills in machine learning to develop advanced solutions for event monitoring. With her innovative mindset, she continues to push the boundaries of technology in her field.

Collaborations

Shazia collaborates with talented individuals such as Madeleine Frost and Luke Taher. These partnerships enhance her work and contribute to the development of cutting-edge technologies in machine learning.

Conclusion

Shazia Jamil Kayani is a trailblazer in the realm of machine learning and event monitoring. Her patent and contributions to IBM highlight her commitment to innovation and excellence in technology.

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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