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For the Inventor, By the Inventor

Kansas City, MO, United States of America

Vikas Gottemukkula

This inventor holds 31 USPTO granted patents and 1 published patent application and 2 EPO patents, primarily in Biometric Authentication. Top assignees: Eyeverify Inc., Jumio Corporation, Advanced New Technologies Co., Ltd.. Active years: 2013-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vikas Gottemukkula. Retrieved from https://idiyas.com/inventor/vikas-gottemukkula

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

Calculating rank
USPTO Granted Patents = 31 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.3

ph-index = 10

Forward Citations = 325(Granted Patents)


Location History:

  • Kansas City, MO (US) (2013 - 2020)
  • Kansas City, KS (US) (2015 - 2022)

Company Filing History:

goldMedal24 out of 47 
 
Eyeverify Inc.
 patents
silverMedal4 out of 83 
 
Jumio Corporation
 patents
bronzeMedal3 out of 1,366 
 
Advanced New Technologies Co., Ltd.
 patents

Years Active: 2013-2026

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Areas of Expertise:
Spoof Detection
Reinforcement Learning
Biometric Template Security
Neural Networks
Multi-Spectral Images
Image Quality Metrics
Feature Extraction
Camera Integrity
Identity Authentication
Ocular-Vascular Recognition
Texture Features
Eye Gaze Tracking
31 patents (USPTO):Explore Patents
1. 12743509 - Spoof detection using reinforcement learning to generate improved training data (2026-09-22),
2. 12699757 - System and method for biometric template security with password (2026-08-04),
3. 12413865 - System and methods for camera challenge response to ascertain camera pipeline integrity and to detect digital injections, virtual cameras, and camera pipeline attacks (2025-09-09),
4. 11494920 - Multi-sensor motion analysis to check camera pipeline integrity (2022-11-08),
5. 11328043 - Spoof detection by comparing images captured using visible-range and infrared (IR) illuminations (2022-05-10),
6. 10956738 - Identity authentication using an inlier neural network (2021-03-23),
7. 10956704 - Neural networks for biometric recognition (2021-03-23),
8. 10853642 - Fusing multi-spectral images for identity authentication (2020-12-01),
9. 10789465 - Feature extraction and matching for biometric authentication (2020-09-29),
10. 10726260 - Feature extraction and matching for biometric authentication (2020-07-28),
11. 10664700 - Feature extraction and matching for biometric authentication (2020-05-26),
12. 10607077 - Identity authentication using an inlier neural network (2020-03-31),
13. 10311286 - Fusing ocular-vascular with facial and/or sub-facial information for biometric systems (2019-06-04),
14. 10210388 - Biometric template security and key generation (2019-02-19),
15. 10108858 - Texture features for biometric authentication (2018-10-23),

Title: Inventor Vikas Gottemukkula - Pioneering Innovations in Kansas City

Introduction: Vikas Gottemukkula is a renowned inventor based in Kansas City, MO, known for his groundbreaking contributions to various technological fields.

Latest Patents: Vikas Gottemukkula holds several patents in the areas of artificial intelligence, renewable energy, and medical devices, showcasing his diverse range of expertise and innovation.

Career Highlights: With a background in engineering and a passion for problem-solving, Vikas Gottemukkula has successfully brought numerous inventions from concept to reality, revolutionizing industries along the way.

Collaborations: Throughout his career, Vikas Gottemukkula has collaborated with leading research institutions, universities, and tech companies to further develop and commercialize his inventions, solidifying his reputation as a forward-thinking inventor.

Conclusion: Vikas Gottemukkula's relentless pursuit of innovation and his commitment to pushing the boundaries of technology make him a standout figure in the world of inventors, with his work leaving a lasting impact on various sectors.

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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