Plano, TX, United States of America

Steven Dang

This inventor holds 46 USPTO granted patents and 19 published patent applications, primarily in Vehicle Recommendations. Top assignee: Capital One Services, LLC. Active years: 2019-2026.

USPTO Granted Patents = 46 

% Patents Active = 97.8

Average Co-Inventor Count = 3.1

ph-index = 5

Forward Citations = 116(Granted Patents)


Location History:

  • Plano, TX (US) (2019 - 2024)
  • McLean, VA (US) (2020 - 2024)

Company Filing History:


Years Active: 2019-2026

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Areas of Expertise:
Vehicle Recommendations
Augmented Reality Navigation
Software Vulnerability Remediation
Machine Learning
Gesture Recognition
Vehicle Valuation
Accident Data Analysis
Document Classification
Search Optimization
Travel History
Asset Resale Value
Interactive Searching
46 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Steven Dang in the Field of Machine Learning

Introduction

Steven Dang is an accomplished inventor based in Plano, Texas, possessing an impressive portfolio of 39 patents. His inventive prowess is particularly notable in the realm of machine learning applications tailored for vehicular systems and automated program configuration.

Latest Patents

Among Steven's latest patents are two significant innovations. The first is centered around "Vehicular Search Recommendations Using Machine Learning," which outlines systems and methods that leverage machine learning for enhancing vehicular recommendations. This computing model is capable of receiving queries related to vehicular preferences and utilizes historical data to create a decision tree for effectively processing these queries. By selecting paths and search phases, the model generates accurate search results, significantly improving user experience in vehicle searches.

The second patent focuses on "Automated Program Access Configuration Based on Interaction and Timing Data." This innovation involves collecting access data from various user-associated sites. It generates interaction and timing datasets that are processed by a machine learning model, predicting user engagement duration and configuring program settings accordingly. This advancement optimizes user interactions with programs based on tailored predictions.

Career Highlights

Steven currently works at Capital One Services, LLC, where he plays a vital role in developing state-of-the-art machine learning applications. His career at Capital One has allowed him to integrate his expertise in technology with organizational objectives, significantly contributing to the company's innovation landscape.

Collaborations

Steven collaborates with esteemed colleagues such as Elizabeth Furlan and Chih-Hsiang Chow, fostering a productive environment that encourages innovative solutions. Together, they work on leveraging machine learning technologies to streamline processes and enhance service offerings.

Conclusion

With a robust portfolio and a commitment to innovation, Steven Dang stands out as a prominent figure in the field of machine learning. His contributions continue to shape the future of vehicular applications and program configurations, demonstrating the profound impact of his work in the technological landscape.

Profile summary based on public USPTO records.
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