Chandigarh, India

Nikhil Sheoran

USPTO Granted Patents = 11 

Average Co-Inventor Count = 5.6

ph-index = 2

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2020-2024

where 'Filed Patents' based on already Granted Patents

11 patents (USPTO):

Title: The Innovative Mind of Nikhil Sheoran

Introduction: Nikhil Sheoran is a notable inventor based in Chandigarh, India, who has made significant contributions to the fields of machine learning and user interface design. With 11 patents to his name, Nikhil's work has revolutionized how we interact with online environments through innovative technological solutions.

Latest Patents: One of Nikhil's latest patents focuses on "Machine-learning models applied to interaction data for facilitating experience-based modifications to interface elements in online environments." This invention describes a computing system that predicts transitions from a click state to various anticipated next states, ultimately computing an interface experience metric that can lead to more personalized online interactions. Another of his recent innovations involves "Intent-aware learning for automated sample selection in interactive data exploration," where a machine-learning model is employed to optimize the selection of data samples based on user queries, enhancing data exploration efficiency.

Career Highlights: Nikhil currently works at Adobe Inc., where he leverages his expertise in machine learning and data interaction to drive innovation and improve user experiences. His ability to apply advanced machine-learning techniques in practical applications has made him a valuable asset in the tech industry.

Collaborations: Throughout his career, Nikhil has collaborated with talented individuals including Deepali Jain and Atanu Ranjan Sinha. These partnerships have fostered a creative environment that has led to the development of groundbreaking technologies and patents in their respective fields.

Conclusion: Nikhil Sheoran represents the spirit of innovation in the technology space, with his contributions paving the way for advancements in user interface and machine learning. As he continues to push the boundaries of what is possible, his work will undoubtedly influence the future of online interactions and data exploration.

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