Georgetown, TX, United States of America

Karthik Kandukoori

This inventor holds 1 USPTO granted patent. Top assignee: T-Mobile USA, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Karthik Kandukoori. Retrieved from https://idiyas.com/inventor/karthik-kandukoori

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: Karthik Kandukoori and Sensor-Based Performance Simulation

Introduction

Karthik Kandukoori is an inventor based in Georgetown, Texas. His patent work addresses the use of sensor data to model and simulate system performance, including applications in 5G networks.

Latest Patents

Kandukoori is associated with 1 patent: “Simulating Performance Metrics for Target Systems Based on Sensor Data, Such as for Use in 5G Networks.” The invention describes a simulator that gathers sensor measurements from multiple systems, standardizes them into a common format, and classifies them by performance metric. It then uses the data to generate a model of a target system and simulate how changes to the systems may affect the selected metric. A network interface can let users explore the simulation and identify procedures to mitigate potential impacts.

Career Highlights

Kandukoori is associated with T-Mobile USA, Inc. His patent focuses on turning sensor measurements into standardized data that can support performance modeling and scenario analysis.

Collaborations

His listed coworkers include John Coster and Anand Kumar Subramaniam. The patent’s described approach brings together sensor data from multiple systems to support simulation and decision-making.

Conclusion

Karthik Kandukoori’s patent highlights a sensor-driven approach to modeling system performance and evaluating potential changes, with relevance to network environments such as 5G.

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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