Pasadena, CA, United States of America

Animashree Anandkumar

This inventor holds 13 USPTO granted patents and 9 published patent applications. Top assignees: Nvidia Corporation, California Institute of Technology. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Animashree Anandkumar. Retrieved from https://idiyas.com/inventor/animashree-anandkumar-q1zybwzi

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 13 

% Patents Active = 38.5

Average Co-Inventor Count = 5.5

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2023-2026

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13 patents (USPTO):Explore Patents

Title: Innovations of Animashree Anandkumar

Introduction

Animashree Anandkumar is a prominent inventor based in Pasadena, CA. He has made significant contributions to the field of fluid dynamics and machine learning, holding a total of 13 patents. His work focuses on innovative systems and methods that enhance the understanding and manipulation of fluid channels and object dynamics.

Latest Patents

One of his latest patents is titled "Anti-infection fluidic channel." This invention involves systems and methods for altering the geometry of a fluid channel to prevent the upstream mobility of bacteria. It utilizes angled obstacles within the channel that create vortices, restricting bacterial movement. An optimized geometry can be achieved through an artificial intelligence algorithm based on the performance of various configurations of obstacle parameters.

Another notable patent is "Action-conditional implicit dynamics of deformable objects." This patent describes how one or more machine learning models can learn implicit 3D representations of an object's geometry and dynamics by performing actions on it. Implicit neural representations are employed to reconstruct high-fidelity geometry and predict flow-based dynamics from images that provide partial views of the object. The model learns correspondences between locations on the object's surface, which can be used to evaluate state changes when actions are performed.

Career Highlights

Animashree has worked with prestigious organizations, including the California Institute of Technology and Nvidia Corporation. His experience in these institutions has allowed him to develop cutting-edge technologies and contribute to advancements in his field.

Collaborations

He has collaborated with notable colleagues such as Tingtao Zhou and Xuan Wan, further enhancing the impact of his research and innovations.

Conclusion

Animashree Anandkumar's work exemplifies the intersection of fluid dynamics and machine learning, showcasing his innovative spirit and dedication to advancing technology. His contributions continue to influence the fields he is involved in, making him a significant figure in contemporary research.

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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