Redmond, WA, United States of America

Ravi Kumar Lingamallu

USPTO Granted Patents = 1 

Average Co-Inventor Count = 14.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):

Title: Innovations by Ravi Kumar Lingamallu

Introduction

Ravi Kumar Lingamallu is an accomplished inventor based in Redmond, WA (US). He has made significant contributions to the field of computing security through his innovative patent. His work focuses on enhancing access request management in secured computing systems.

Latest Patents

Ravi Kumar Lingamallu holds a patent titled "Anomaly-based mitigation of access request risk." This invention addresses the challenges of access to secured items in a computing system. Instead of persistent access, requests are granted on a just-in-time basis. The invention employs machine learning models to detect anomalous access requests based on historical patterns. These models utilize conditional probability and collaborative filtering to create understandable explanations of threat assessments. The scoring subsystem incorporates principles such as probabilities, distribution entropies, and data item counts. A feedback loop allows for the incremental refinement of the subsystem, ensuring that access requests are managed effectively.

Career Highlights

Ravi Kumar Lingamallu is currently associated with Microsoft Technology Licensing, LLC. His role involves leveraging his expertise in machine learning and security to develop innovative solutions that enhance user access management. His contributions have been instrumental in advancing the security protocols within the organization.

Collaborations

Ravi has collaborated with notable colleagues, including Christopher Michael Jeffords and Srikanth Bolisetty. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Ravi Kumar Lingamallu's innovative work in access request management showcases his commitment to improving security in computing systems. His patent reflects a deep understanding of machine learning and its application in real-world scenarios. Through his contributions, he continues to make a significant impact in the field of technology.

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