This inventor holds 2 USPTO granted patents. Top assignee: Triad National Security, LLC. Active years: 2021-2022.
Company Filing History:
Years Active: 2021-2022
Title: **Claudia L. Hulbert: Innovator in Machine Learning for Seismic Safety**
Introduction
Claudia L. Hulbert is a prominent inventor based in Los Alamos, NM, whose groundbreaking work in machine learning has led to significant advancements in understanding and predicting fluid-driven failures. With two patents to her name, she is at the forefront of utilizing technology to enhance safety in environments affected by human activities.
Latest Patents
Claudia's latest patents focus on innovative methodologies that employ machine-learning techniques to analyze subsurface stress and criticality linked to fluid injection activities. The first patent addresses the assessment of the critical state concerning terrestrial regions impacted by practices such as hydraulic fracturing and hydrocarbon extraction. This invention involves sensing acoustic emissions and seismic waves to gather microscopic data, which is then used to train classifiers for predicting future fluid-driven failures.
Her second patent evolves around the prediction of frictional states in earthquake zones using similar methodologies. By leveraging time series data of acoustic emissions and historical failure events, Claudia’s classifier provides insights into seismic hazards and potential future failures, demonstrating applications across a range of terrestrial and man-made structures.
Career Highlights
Claudia’s professional journey is marked by her role at Triad National Security, LLC, where she applies her expertise in machine learning to tackle complex challenges in seismic safety and fluid dynamics. Her work reflects a commitment to enhancing public safety through innovative technological solutions.
Collaborations
In her endeavors, Claudia collaborates with respected colleagues such as Paul Allan Johnson and Bertrand Rouet-Leduc. These partnerships enable a dynamic exchange of ideas and foster advancements in their shared field of research, further pushing the boundaries of machine learning applications in geophysical studies.
Conclusion
Claudia L. Hulbert stands out as a key inventor in her field, actively contributing to the enhancement of safety measures against fluid-driven failures. Her innovative patents not only address critical issues in seismic safety but also highlight the immense potential of machine learning in environmental monitoring and disaster prevention.