Tempe, AZ, United States of America

Lydia Manikonda


Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2020-2022

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Lydia Manikonda: Innovator in Actionable Domain Models

Introduction

Lydia Manikonda is a prominent inventor based in Tempe, AZ, known for her contributions to the field of actionable domain models. With a total of three patents to her name, she has made significant strides in the realm of technology and data processing. Her work focuses on creating personalized and autonomous learning models that can effectively interpret and utilize unstructured data.

Latest Patents

Lydia's latest patents include "Learning Personalized Actionable Domain Models" and "Autonomous Learning of Actionable Models from Unstructured Data." The first patent describes a method for generating a domain model based on a variety of actions extracted from online data sources. This model aims to achieve specific goals through a hierarchical action model that personalizes actions according to their weighted significance. The second patent outlines techniques for autonomously generating domain and action models from unstructured data, emphasizing the extraction of actions from non-numerical language to accomplish defined objectives.

Career Highlights

Lydia is currently employed at International Business Machines Corporation (IBM), where she continues to innovate and develop her ideas. Her work at IBM has allowed her to collaborate with other talented professionals in the field, further enhancing her contributions to technology.

Collaborations

Some of Lydia's notable coworkers include Shirin Sohrabi Araghi and Biplav Srivastava. Their collaborative efforts have likely played a role in advancing the projects they work on together.

Conclusion

Lydia Manikonda stands out as an influential inventor in the technology sector, particularly in the development of actionable domain models. Her patents reflect her commitment to enhancing data processing and personalization in technology.

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