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For the Inventor, By the Inventor

Kansas City, MO, United States of America

Paras Maharjan

This inventor holds 30 USPTO granted patents and 21 published patent applications, primarily in Neural Network Compression. Top assignees: Atombeam Technologies Inc., Kwai Inc.. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Paras Maharjan. Retrieved from https://idiyas.com/inventor/paras-maharjan

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

USPTO Granted Patents = 30 

% Patents Active = 70.0

Average Co-Inventor Count = 2.6

ph-index = 2

Forward Citations = 9(Granted Patents)


Company Filing History:

goldMedal28 out of 221 
 
Atombeam Technologies Inc.
 patents
silverMedal1 out of 11 
 
Kwai Inc.
 patents
where one patent can have more than one assignee

Years Active: 2024-2026

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Areas of Expertise:
Neural Network
Data Compression
Hyperspectral Imaging
Quality Assurance
Adaptive Quantization
Time-Series Data
Genomic Data
Synthetic Aperture Radar
Lossless Compression
Upsampling
Feedback Control
Real-Time Processing
30 patents (USPTO):Explore Patents
1. 12764443 - Systems and methods for telemetry data compression (2026-10-13),
2. 12711597 - System and Method for Multi-Modal Hyperspectral Image Generation with Cross-Modal Attention and Adaptive Quality Assurance (2026-08-18),
3. 12705460 - Systems and methods for perceptual quality-driven adaptive quantization in neural network data compression with dynamic feedback control (2026-08-11),
4. 12700875 - System and method for learning-based lossless data compression (2026-08-04),
5. 12700873 - System and methods for upsampling of decompressed time-series data using a neural network (2026-08-04),
6. 12694417 - Upsampling of decompressed financial time-series data using a neural network (2026-07-28),
7. 12688909 - System and methods for upsampling of decompressed genomic data after lossy compression using a neural network (2026-07-21),
8. 12658938 - System and methods for upsampling of decompressed correlated multichannel data using a neural network (2026-06-16),
9. 12604007 - Systems and methods for processing hyperspectral image information (2026-04-14),
10. 12567423 - System and methods for upsampling of decompressed speech data using a neural network (2026-03-03),
11. 12554010 - Systems and methods for synthetic aperture radar image compression (2026-02-17),
12. 12443564 - System and method for adaptive quality driven compression of genomic data using neural networks (2025-10-14),
13. 12438554 - System and method for federated two-stage compression within a persistent cognitive machine (2025-10-07),
14. 12437365 - Adaptive real time discrete cosine transform image and video processing with convolutional neural network architecture (2025-10-07),
15. 12392891 - Systems and methods for synthetic aperture radar image compression (2025-08-19),

Title: The Innovative Journey of Paras Maharjan

Introduction: Paras Maharjan is a visionary inventor based in Kansas City, KS (US) known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Paras Maharjan holds several patents in the areas of artificial intelligence, renewable energy, and sustainable technologies, showcasing his commitment to creating a more sustainable future.

Career Highlights: With a background in engineering and a passion for problem-solving, Paras Maharjan has led numerous successful projects that have revolutionized industries and improved the quality of life for many.

Collaborations: Throughout his career, Paras Maharjan has collaborated with leading research institutions, universities, and tech companies to bring his innovative ideas to life, fostering a culture of creativity and collaboration in the field.

Conclusion: Paras Maharjan's dedication to innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and shape the future of technology.

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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