Centerville, GA, United States of America

Lubna Khan

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Lubna Khan: Innovator in Natural Language Processing

Introduction

Lubna Khan is a prominent inventor based in Centerville, GA (US). She has made significant contributions to the field of natural language processing, particularly in the area of machine-learning-guided summarization. Her innovative work has the potential to transform how we process and summarize large volumes of text data.

Latest Patents

Lubna Khan holds a patent for her invention titled "Natural language processing techniques for machine-learning-guided summarization using hybrid class templates." This patent describes various embodiments that provide methods, apparatus, systems, and computing devices for performing natural language processing operations. The invention focuses on generating guided summaries using summarization templates that are mapped to hybrid classes of a hybrid classification space for a hybrid classification machine learning model. By utilizing summarization templates, her proposed framework significantly reduces the computational complexity involved in summarizing input document data objects, such as multi-party communication transcripts.

Career Highlights

Lubna Khan is currently employed at UnitedHealth Group Incorporated, where she continues to apply her expertise in natural language processing. Her work at the company allows her to collaborate with other talented professionals in the field, enhancing the impact of her innovations.

Collaborations

Some of her notable coworkers include Rajesh Sabapathy and Chirag Mittal. Their collaboration fosters a dynamic environment for innovation and development in their respective projects.

Conclusion

Lubna Khan's contributions to natural language processing exemplify the power of innovation in technology. Her patent and ongoing work at UnitedHealth Group Incorporated highlight her commitment to advancing the field and improving data processing techniques.

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