Sunnyvale, CA, United States of America

Riva Gulassa

USPTO Granted Patents = 3 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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3 patents (USPTO):

Title: Riva Gulassa: Pioneering Innovations in Wave Property Estimation

Introduction

Riva Gulassa is an accomplished inventor based in Sunnyvale, CA, known for her contributions to the field of underwater technology. With a total of two patents to her name, her innovative work focuses on the estimation of wave properties using cutting-edge machine learning models.

Latest Patents

Riva's most recent patents revolve around characterizing wave properties based on measurement data obtained from underwater devices. Specifically, these patents detail methods, systems, and apparatuses that utilize computer programs encoded on storage media to assess wave characteristics in bodies of water. The computer-implemented system she developed collects measurement data over time from an inertial measurement unit (IMU) on board an underwater device. It processes this data to create input for a machine-learning model that generates output indicating various wave properties. Furthermore, the system evaluates whether the device in question is safe for deployment based on these properties.

Career Highlights

Throughout her career, Riva has been associated with innovative companies such as X Development LLC and Tidaix AI Inc. Her work at these organizations has allowed her to further hone her skills in developing advanced technologies for underwater applications.

Collaborations

In her pursuit of innovation, Riva has collaborated with notable professionals in her field, including her coworker Thomas Robert Swanson. Their combined expertise fosters a creative environment for the development of novel technological solutions.

Conclusion

Riva Gulassa stands out as a prominent inventor whose patented technologies have significant implications in underwater research and safety. Her contributions reflect her commitment to utilizing machine learning for enhanced understanding of wave dynamics, positioning her as a leader in the intersection of technology and marine science.

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