Niki J Parmar

This inventor holds 20 USPTO granted patents and 5 published patent applications, plus 3 CIPO patents and 2 EPO patents, primarily in Neural Networks. Top assignee: Google Inc.. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Niki J Parmar. Retrieved from https://idiyas.com/inventor/niki-j-parmar

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

USPTO Granted Patents = 20 (Patent Applications = 5)

% Patents Active = 95.0

CIPO Patents = 3

EPO Patents = 2 (Patent Applications = 9)

Average Co-Inventor Count = 7.4

ph-index = 4

Forward Citations = 97(Granted Patents)

Location History:

San Francisco, CA (US) (2023)
Sunnyvale, CA (US) (2019 - 2024)
Mountain View, CA (US) (2024)

Company Filing History:

20 out of 33,987

Google Inc.

patents

Years Active: 2019-2026

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Areas of Expertise:

Local Self-Attention

Computer Vision

Neural Networks

Machine Translation

Convolution-Augmented

Transformer Models

Fast Decoding

Sequence Models

Attention-Based

Image Generation

Multi-Task Learning

Multi-Modal

20 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12755520 - Local self-attention computer vision neural networks (2026-10-06),

2. 12443806 - Machine translation using neural network models (2025-10-14),

3. 12373666 - Convolution-augmented transformer models (2025-07-29),

4. 12354340 - Fully attentional computer vision (2025-07-08),

5. 12353991 - Fast decoding in sequence models using discrete latent variables (2025-07-08),

6. 12217173 - Attention-based sequence transduction neural networks (2025-02-04),

7. 12142034 - Attention-based image generation neural networks (2024-11-12),

8. 12079703 - Convolution-augmented transformer models (2024-09-03),

9. 11893483 - Attention-based sequence transduction neural networks (2024-02-06),

10. 11816884 - Attention-based image generation neural networks (2023-11-14),

11. 11809834 - Machine translation using neural network models (2023-11-07),

12. 11494561 - Multi-task multi-modal machine learning system (2022-11-08),

13. 11392790 - Attention-based image generation neural networks (2022-07-19),

14. 11138392 - Machine translation using neural network models (2021-10-05),

15. 11113602 - Attention-based sequence transduction neural networks (2021-09-07),

Title: Innovations of Niki J. Parmar: A Glimpse into His Contributions

Introduction

Niki J. Parmar, based in Sunnyvale, California, is an influential inventor in the field of computer science and artificial intelligence. With a remarkable portfolio of 18 patents, he has made significant contributions that enhance various data processing tasks. His innovations are paving the way for new advancements in technology and applications across multiple domains.

Latest Patents

Among his latest patents, the "Convolution-augmented transformer models" stands out. This patent describes systems and methods that utilize a conformer model to process data sets for tasks such as speech recognition, sound separation, protein synthesis determination, and natural language processing. The model employs feed-forward blocks, a self-attention block, and a convolution block, enabling it to learn global interactions and local correlations effectively.

Another notable invention is the "Fully attentional computer vision." This patent details a system that implements a computer vision model, featuring a positional local self-attention layer. This layer processes input feature maps to generate output feature maps by incorporating neighboring input elements for detailed contextual understanding, thereby enhancing the performance of visual tasks.

Career Highlights

Niki J. Parmar is currently employed at Google Inc., where he continues to innovate and lead projects that advance the capabilities of machine learning and artificial intelligence. His work significantly contributes to refining how machines interpret and process complex data, making him a valuable asset in the tech industry.

Collaborations

Throughout his career, Niki has collaborated with esteemed colleagues, including Ashish Teku Vaswani and Noam M. Shazeer. These partnerships have fostered a rich environment for innovation, allowing them to develop groundbreaking technologies that push the boundaries of what is possible in AI and data processing.

Conclusion

Niki J. Parmar's dedication to advancing technology through his patents demonstrates his role as a leading inventor in artificial intelligence. His work not only bridges various fields but also sets the stage for future innovations that could transform industries and improve the efficiency and accuracy of data-related tasks.

Profile summary based on public USPTO records.