Santa Ana, CA, United States of America

Tiffany E Symes


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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3 patents (USPTO):Explore Patents

Title: Innovations by Tiffany E Symes

Introduction

Tiffany E Symes is a prominent inventor based in Santa Ana, CA (US). She has made significant contributions to the field of traffic management through her innovative use of machine learning technologies. With a total of 3 patents, her work focuses on enhancing traffic speed prediction and forecasting.

Latest Patents

One of her latest patents is titled "Short-term traffic speed prediction and forecasting using machine learning analysis of spatiotemporal traffic speed dependencies in probe and weather data." This patent presents a comprehensive framework for modeling traffic speed in a transportation network. It analyzes both spatial and temporal dependencies in probe-based traffic speeds, historical weather data, and forecasted weather data, utilizing multiple machine learning models. A decentralized partial least squares (PLS) regression model is employed to predict short-term speed using localized, historical probe-based traffic data. Additionally, a deep learning model applies the predicted short-term speed to estimate traffic speed at specific times and locations within the transportation network, aiding in the prediction of traffic bottlenecks and other future traffic states.

Career Highlights

Tiffany currently works at Iteris, Inc., where she continues to develop innovative solutions for traffic management. Her expertise in machine learning and data analysis has positioned her as a leader in her field.

Collaborations

Some of her notable coworkers include Pouyan Hosseini and Shayan Khoshmagham, who collaborate with her on various projects at Iteris, Inc.

Conclusion

Tiffany E Symes is a trailblazer in the realm of traffic speed prediction, leveraging machine learning to create impactful solutions. Her contributions are paving the way for smarter transportation systems.

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