logo

For the Inventor, By the Inventor

Santa Clara, CA, United States of America

Shekhar Dwivedi

LinkedIn

This inventor holds 9 USPTO granted patents and 8 published patent applications. Top assignee: Nvidia Corporation. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shekhar Dwivedi. Retrieved from https://idiyas.com/inventor/shekhar-dwivedi-5yot4a4j

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

Calculating rank
USPTO Granted Patents = 9 

% Patents Active = 77.8

Average Co-Inventor Count = 1.3

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:

goldMedal9 out of 6,228 
 
Nvidia Corporation
 patents

Years Active: 2020-2026

Loading Chart...
9 patents (USPTO):Explore Patents
1. 12738014 - Directed inferencing using input data transformations (2026-09-15),
2. 12619878 - Master transform architecture for deep learning (2026-05-05),
3. 12561869 - Reconstructing image data (2026-02-24),
4. 12423940 - Targeted object detection in image processing applications (2025-09-23),
5. 12217331 - Optimizing grid-based compute graphs (2025-02-04),
6. 12045666 - Profiling and performance monitoring of distributed computational pipelines (2024-07-23),
7. 11568625 - Targeted object detection in image processing applications (2023-01-31),
8. 11037338 - Reconstructing image data (2021-06-15),
9. 10699447 - Multi-level image reconstruction using one or more neural networks (2020-06-30),

Title: Shekhar Dwivedi: Innovator in Image Processing and Graph Computing

Introduction

Shekhar Dwivedi is a prominent inventor based in Santa Clara, CA. He has made significant contributions to the fields of image processing and graph computing. With a total of 9 patents to his name, Dwivedi continues to push the boundaries of technology through his innovative work.

Latest Patents

Among his latest patents is a groundbreaking invention focused on targeted object detection in image processing applications. This patent describes apparatuses, systems, and techniques to train and apply a first machine learning model to identify a plurality of regions of interest within an input image. Additionally, it involves training and applying a plurality of second machine learning models to identify one or more objects within each region of interest identified by the first model. Another notable patent is related to optimizing grid-based compute graphs. This invention discloses apparatuses, systems, and techniques that enable compressed grid-based graph representations for efficient implementations of graph-mapped computing applications. The techniques include selecting a reference grid with multiple blocks, assigning nodes of the graph to these blocks, and generating a graph representation that maps directions of nodal connections relative to the reference grid.

Career Highlights

Shekhar Dwivedi is currently employed at Nvidia Corporation, a leading company in the field of graphics processing and AI technology. His work at Nvidia has allowed him to develop cutting-edge technologies that enhance image processing and computing efficiency.

Collaborations

Throughout his career, Dwivedi has collaborated with talented individuals such as Gigon Bae and Rahul Choudhury. These collaborations have fostered an environment of innovation and creativity, leading to the development of advanced technologies.

Conclusion

Shekhar Dwivedi is a remarkable inventor whose contributions to image processing and graph computing are noteworthy. His patents reflect his commitment to advancing technology and improving computational methods. His work at Nvidia Corporation continues to inspire future innovations in the field.

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]
Loading…