This inventor holds 1 USPTO granted patent. Top assignee: Brown University. Active years: 2021.
Company Filing History:
Years Active: 2021
Title: Paris Perdikaris: Innovator in Physics Informed Learning Machines
Introduction
Paris Perdikaris is a notable inventor based in Providence, RI (US). She has made significant contributions to the field of machine learning, particularly through her innovative patent. Her work focuses on the intersection of physics and data analysis, showcasing her expertise in applying mathematical models to real-world problems.
Latest Patents
Paris Perdikaris holds a patent for a "Physics informed learning machine." This method involves analyzing an object by modeling it with a differential equation, such as a linear partial differential equation (PDE). The process includes sampling data associated with the differential equation and utilizing a probability distribution device to obtain the solution. Notably, her method eliminates the need for discretization of the differential equation, which is a common challenge in computational modeling.
Career Highlights
Paris is affiliated with Brown University, where she continues to advance her research and contribute to the academic community. Her work is characterized by a strong foundation in both theoretical and applied physics, making her a valuable asset in her field.
Collaborations
Throughout her career, Paris has collaborated with esteemed colleagues, including George E. Karniadakis and Maziar Raissi. These partnerships have further enriched her research and expanded the impact of her innovations.
Conclusion
Paris Perdikaris is a pioneering inventor whose work in physics informed learning machines exemplifies the integration of advanced mathematics and machine learning. Her contributions are shaping the future of data analysis and modeling in various scientific fields.